Job description: Job Description Role: The purpose of the role is to provide assurance on the quality of deployment for the assigned accounts and support in establishing mechanisms that enhance and sustain customer satisfaction levels. The role is expected to support in enhancing customer advocacy by predicting and preventing customer escalations & dissatisfactions and drive a culture of continuous improvement in the assigned accounts. ͏ Do: Implement deployment quality strategy for the assigned Accounts Provide inputs in the development of strategy for the assigned accounts while considering the quality standards, client expectations, quality, and monitoring mechanisms Review and reallocate the priorities to align with the overall strategy of the line of business / business unit Quality control and Customer satisfaction Support the completion of Annual Customer Satisfaction survey by ensuring completion of survey by the account customers, representatives for various projects within the account. Ensure completion of survey and address any queries in a timely manner. Support in conceptualizing the action planning by communicating with clients and interacting with Delivery Managers, vertical delivery heads and service delivery heads Drive the account wise tracking of action planning identified for sustained CSAT in various projects. Drive the Quarterly pulse survey for selected accounts or projects for periodic check-ins. Support the Account Leadership teams for tracking and managing client escalation for closure. Early Warnings and Business partnership Drive the implementation of mechanisms for preventing client escalations / dis-satisfactions by creating an early warning system in DigiQ covering aspects like delivery quality, delivery schedule, resources constraints, financial issues (overloading of effort / over-run potential), productivity, and slippages on milestones. Participate in Monthly and Quarterly Business review along with Business and Account leadership to ensure adherence of defined quality processes, define new life cycle models and ensure gating processes are followed the projects within the accounts. Drive the upskilling of delivery teams on quality management tools, knowledge management and create mechanisms for sharing of best practices. Support the collection of metrics on the performance / health of process and regular publishing of compliance and metrics dashboards. Continuous Improvement Drive a culture of continuous improvement in the assigned accounts to ensure enhance efficiency and productivity of resources Create mechanisms between the projects in the account for sharing knowledge, quality issues, risk mitigation methods within the accounts to drive the continuous improvement Plan and drive year on year improvement goals in various projects by way of process streamlining & improvements and automation, leading to cost savings and / or efficiency Support the collection of metrics to show the improvements- efficiency / productivity improvement. ͏ Team Management Team Management Clearly define the expectations for the team Assign goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Guide the team members in acquiring relevant knowledge and develop their professional competence Drive geography specific trainings for the quality team, designed basis the statutory norms that apply in different countries Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the tea Track team satisfaction scores and identify initiatives to build engagement within the team ͏ Deliver No. Performance Parameter Measure 1. Quality Control and Customer satisfaction CSAT Score-BU/Account/Portfolio level Process Compliance/Exceptions Scores Audit Coverage percentage Schedule performance Scores Planned vs actual project effort Resource productivity scores 2. Capability Building New Employee Onboarding New Employee Certifications 3. Continuous Improvement Lean projects implemented per year Productivity improvement of resources Continuous Improvement Processes implemented per year 4. Team Management Team attrition % Employee satisfaction scores 5. Capability Building % trained on domain and location specific skills, % of team trained in necessary leadership skills ͏ Mandatory Skills: Analytics Consulting . Experience: 8-10 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

Who We Are Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com. The Role To perform Salesforce Sr Development duties as specified and associated with the Salesforce Enhancement requests and Projects. Responsible for identifying potential issues and/or risks across the system functions that would/could be associated to a development effort. Works closely with the business requester to establish intent and requirements of an enhancement request. Responsible for maintaining security and privacy rules and the integrity of the system. Additionally, this role includes a Business Analyst (BA) component. Collaborating with and staying close to end users and business, fully understanding, and analyzing incoming enhancement requests. Responsible for detailed reviews for completeness of requirements which are to be articulated in a clear concise manner. What You’ll Do Customize the system to meet the business needs of the company Integrate existing systems and services into the CRM architecture and assist with deployment and provisioning activities Salesforce Business Analysis functions and duties Collaborate with other software developers, business analysts, software architects and IT professionals to implement Salesforce solutions Collaborating with and staying close to end users and business, fully understanding, analyzing and documenting processes and requirements as well as creating functional documentation Seek opportunities to optimize internal processes and write KB documentation Enforcing SOC, SOX, and PCI audit policies to ensure system compliance What You’ll Bring Bachelor’s or Master’s degree with technical background At least 5 years’ experience as a Salesforce.com Developer in both Classic and Lightning Salesforce Platform Developer I certification required Salesforce Platform Developer II, JavaScript Developer I, Industries CPQ Developer, and OmniStudio Developer certifications are a plus High functional and system knowledge of Salesforce.com (Sales Cloud, CPQ, Service Cloud), especially configuration Experience with source control management systems and continuous integration/deployment environments Proficient with developing, customizing, integrations, APIs, SOAP / REST services, and deployment functions Ability to analyze and document business requirements and processes in writing Ability to analyze business and technical problems related to Salesforce.com, and to find effective solutions for them Fluency in English, oral and written Show more Show less

Senior Analyst Tax – Global Finance Operations How is this team contributing to vision of Providence? The Senior Analyst for Global Finance Operations plays a crucial role in performing the work to maintain and ensure accurate and timely financial reporting. This position includes performing operations, meeting SLA and targets, data analysis, report generation, and collaboration with various stakeholders to support the operation. Key Responsibilities • Work closely with the global stakeholders to process and ensure accurate recording (Accruals, Amortization, Allocation, Reclass, etc.), reporting, consolidation and analyzing reports pertaining to Tax accounting. • Prepare Balance Sheet reconciliations covering Tax and related account. Closely monitor and resolve all aged open items and make sure balance is properly supported. • Active participation in performing the monthly, quarterly and annual closing process related to Tax. • Preparation of Tax work papers and matching with the reports. • Reasonable understanding of US Tax laws. • Preparing monthly close reports & variance analysis of various Providence entities to ensure the numbers are materially accurate • Extract, modify and analyze monthly reports as required and resolve queries and complex accounting issues. • Perform Tax related audit deliverables during audit. • Periodic updating of SOPs to make sure any process changes, exceptions and new learnings are updated timely. Competencies • Analytical Thinker: Able to dissect complex financial data and derive meaningful insights • Attention to Detail: Meticulous in maintaining data accuracy and producing error-free reports. • Team Player: Collaborative mindset to build strong and enduring relationships to work effectively with cross-functional teams • Deadline-Driven: Ability to meet tight reporting deadlines and prioritize tasks. • Adaptability: Willingness to adapt to changing business needs and technologies • Problem Solver: Capable of identifying issues timely and proposing solutions • Quick learner: Able to learn and understand end to end Tax accounting processes and system for high quality performance. • Communication: Transparent communications, and alignment between diverse constituents. • ERP: Experience on working with Oracle ERP would be a plus. Who are we looking for? • Preferably CMA / MBA / M.com / Semi qualified with 3 to 5 years (or) CA / CPA with 1 to 2 years of experience in Tax accounting • Excellent communication skills and cross -departmental collaboration skills • Experience in working with global stakeholders• High-performance creativity and “optimistic” personality • Night shift role, EST time zone. Show more Show less

Mission : Design, deploy, and maintain cutting-edge network infrastructure. Troubleshoot, optimize, and ensure network security while focusing on quality checks. Qualifications: ● BE/BTech degree in Electronics & Communication, Computer Science, Information Technology, or Electrical & Electronics (recognized by AICTE/UGC/Ministry of HRD). ● Minimum 1 year of relevant post-qualification experience in IT/Telecommunication Systems/Optical Fibres for degree holders. ● For Diploma holders (recognized by AICTE/UGC/Ministry of HRD), a minimum of 6 years of post-qualification experience in the relevant field is required. Roles and Responsibilities: ● Design, configure, and maintain network infrastructure. ● Conduct network audits, including quality checks for Optical Fibre Cable (OFC) installations. ● Perform network performance analysis and recommend optimization measures. ● Troubleshoot complex network issues and ensure timely resolutions. ● Test and maintain network equipment including OTDR, Laser Source, Power Meter, and Cable Locators. ● Ensure RFP compliance through regular quality audits. ● Provide quarterly and monthly audit reports. ● Collaborate with SI teams to resolve non-compliance issues. APPLY NOW: https://forms.gle/ehHbuBSjHgDj28r57 Join Our Mission at TheRojgaar.com! At TheRojgaar.com, we believe in empowering communities by bridging the digital divide. We're on the lookout for passionate individuals to join our growing team. Email : hire@therojgaar.com Website : www.therojgaar.com Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Schedule: Day shift Ability to commute/relocate: Lucknow City, Uttar Pradesh: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Work Location: In person Application Deadline: 30/04/2025 Expected Start Date: 30/06/2025

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: AWS Q, CodeWhisperer, Gen AI, CI/CD, contenarization, Go, microservices, RESTful API, MySQL, PHP, PostgreSQL MatchMove is Looking for: As a Technical Lead (Backend ), you will play a pivotal role in shaping the engineering foundation for a robust, real-time, cross-border payment platform. You’ll be writing clean, secure, and scalable Go services powering billions in financial flows, while championing engineering excellence and thoughtful platform design. You will contribute to:: Developing and scaling distributed payment transaction systems for cross-border and domestic remittance use cases. Designing resilient microservices in Go for high-volume, low-latency transaction flows with regional compliance and localization. Owning service-level metrics such as SLA adherence, latency (p95/p99), throughput, and availability. Building API-first products with strong documentation, mocks, and observability from day one. Enabling faster, safer development by leveraging Generative AI for test generation, documentation, and repetitive coding tasks — while maintaining engineering hygiene. Mentoring a high-performing, globally distributed engineering team and contributing to code reviews, design sessions, and cross-team collaboration. Responsibilities Lead design and development of backend services in Go with concurrency, memory safety, and observability in mind. Manage service uptime and reliability across multi-region deployments via dashboards, tracing, and alerting. Maintain strict SLAs for mission-critical payment operations and support incident response during SLA violations. Profile and optimize Go services using tools like pprof, benchstat, and the Go race detector. Drive code quality through test-driven development, code reviews, and API-first workflows (OpenAPI / Swagger). Collaborate cross-functionally with Product, QA, DevOps, Compliance, and Business to ensure production-readiness. Maintain well-documented service boundaries and internal libraries for scalable engineering velocity. Encourage strategic use of Generative AI for API mocking, test data generation, schema validation, and static analysis. Advocate for clean architecture, technical debt remediation, and security best practices (e.g., rate limiting, mTLS, context timeouts). Requirements Atleast 7 years of engineering experience with deep expertise in Go (Golang). Expert-level understanding of concurrency, goroutines, channels, synchronization primitives, and distributed coordination patterns Strong grasp of profiling and debugging Go applications, memory management, and performance tuning. Proven experience in instrumenting production systems for SLAs/SLIs with tools like Prometheus, Grafana, or OpenTelemetry. Solid experience with PostgreSQL / MySQL, schema design for high-consistency systems, and transaction lifecycle in financial services. Experience building, documenting, and scaling RESTful APIs in an API-first platform environment. Comfort with cloud-native tooling, containerization, and DevOps workflows (CI/CD, blue-green deployment, rollback strategies). Demonstrated understanding of observability practices: structured logging, distributed tracing, and alerting workflows. Brownie Points Experience in payments, card issuance, or remittance infrastructure. Working knowledge of PHP (for legacy systems). Contributions to Go open-source projects or public technical content. Experience with GenAI development tools like AWS Q , CodeWhisperer in a team setting Track record of delivering high-quality services in regulated environments with audit, compliance, and security mandates. Engagement Model:: Direct placement with client This is remote role Shift timings: :10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C# expertise to review evaluations completed by data annotators assessing AI-generated C# code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated C# code. Assess if the C# code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in C# development, QA, or code review. Strong knowledge of C# syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C# expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C++ expertise to review evaluations completed by data annotators assessing AI-generated Java code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated C++ code. Assess if the C++ code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in C++ development, QA, or code review. Strong knowledge of C++ syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C++ expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: AWS Q, CodeWhisperer, Gen AI, CI/CD, contenarization, Go, microservices, RESTful API, MySQL, PHP, PostgreSQL MatchMove is Looking for: As a Technical Lead (Backend ), you will play a pivotal role in shaping the engineering foundation for a robust, real-time, cross-border payment platform. You’ll be writing clean, secure, and scalable Go services powering billions in financial flows, while championing engineering excellence and thoughtful platform design. You will contribute to:: Developing and scaling distributed payment transaction systems for cross-border and domestic remittance use cases. Designing resilient microservices in Go for high-volume, low-latency transaction flows with regional compliance and localization. Owning service-level metrics such as SLA adherence, latency (p95/p99), throughput, and availability. Building API-first products with strong documentation, mocks, and observability from day one. Enabling faster, safer development by leveraging Generative AI for test generation, documentation, and repetitive coding tasks — while maintaining engineering hygiene. Mentoring a high-performing, globally distributed engineering team and contributing to code reviews, design sessions, and cross-team collaboration. Responsibilities Lead design and development of backend services in Go with concurrency, memory safety, and observability in mind. Manage service uptime and reliability across multi-region deployments via dashboards, tracing, and alerting. Maintain strict SLAs for mission-critical payment operations and support incident response during SLA violations. Profile and optimize Go services using tools like pprof, benchstat, and the Go race detector. Drive code quality through test-driven development, code reviews, and API-first workflows (OpenAPI / Swagger). Collaborate cross-functionally with Product, QA, DevOps, Compliance, and Business to ensure production-readiness. Maintain well-documented service boundaries and internal libraries for scalable engineering velocity. Encourage strategic use of Generative AI for API mocking, test data generation, schema validation, and static analysis. Advocate for clean architecture, technical debt remediation, and security best practices (e.g., rate limiting, mTLS, context timeouts). Requirements Atleast 7 years of engineering experience with deep expertise in Go (Golang). Expert-level understanding of concurrency, goroutines, channels, synchronization primitives, and distributed coordination patterns Strong grasp of profiling and debugging Go applications, memory management, and performance tuning. Proven experience in instrumenting production systems for SLAs/SLIs with tools like Prometheus, Grafana, or OpenTelemetry. Solid experience with PostgreSQL / MySQL, schema design for high-consistency systems, and transaction lifecycle in financial services. Experience building, documenting, and scaling RESTful APIs in an API-first platform environment. Comfort with cloud-native tooling, containerization, and DevOps workflows (CI/CD, blue-green deployment, rollback strategies). Demonstrated understanding of observability practices: structured logging, distributed tracing, and alerting workflows. Brownie Points Experience in payments, card issuance, or remittance infrastructure. Working knowledge of PHP (for legacy systems). Contributions to Go open-source projects or public technical content. Experience with GenAI development tools like AWS Q , CodeWhisperer in a team setting Track record of delivering high-quality services in regulated environments with audit, compliance, and security mandates. Engagement Model:: Direct placement with client This is remote role Shift timings: :10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: AWS Q, CodeWhisperer, Gen AI, CI/CD, contenarization, Go, microservices, RESTful API, MySQL, PHP, PostgreSQL MatchMove is Looking for: As a Technical Lead (Backend ), you will play a pivotal role in shaping the engineering foundation for a robust, real-time, cross-border payment platform. You’ll be writing clean, secure, and scalable Go services powering billions in financial flows, while championing engineering excellence and thoughtful platform design. You will contribute to:: Developing and scaling distributed payment transaction systems for cross-border and domestic remittance use cases. Designing resilient microservices in Go for high-volume, low-latency transaction flows with regional compliance and localization. Owning service-level metrics such as SLA adherence, latency (p95/p99), throughput, and availability. Building API-first products with strong documentation, mocks, and observability from day one. Enabling faster, safer development by leveraging Generative AI for test generation, documentation, and repetitive coding tasks — while maintaining engineering hygiene. Mentoring a high-performing, globally distributed engineering team and contributing to code reviews, design sessions, and cross-team collaboration. Responsibilities Lead design and development of backend services in Go with concurrency, memory safety, and observability in mind. Manage service uptime and reliability across multi-region deployments via dashboards, tracing, and alerting. Maintain strict SLAs for mission-critical payment operations and support incident response during SLA violations. Profile and optimize Go services using tools like pprof, benchstat, and the Go race detector. Drive code quality through test-driven development, code reviews, and API-first workflows (OpenAPI / Swagger). Collaborate cross-functionally with Product, QA, DevOps, Compliance, and Business to ensure production-readiness. Maintain well-documented service boundaries and internal libraries for scalable engineering velocity. Encourage strategic use of Generative AI for API mocking, test data generation, schema validation, and static analysis. Advocate for clean architecture, technical debt remediation, and security best practices (e.g., rate limiting, mTLS, context timeouts). Requirements Atleast 7 years of engineering experience with deep expertise in Go (Golang). Expert-level understanding of concurrency, goroutines, channels, synchronization primitives, and distributed coordination patterns Strong grasp of profiling and debugging Go applications, memory management, and performance tuning. Proven experience in instrumenting production systems for SLAs/SLIs with tools like Prometheus, Grafana, or OpenTelemetry. Solid experience with PostgreSQL / MySQL, schema design for high-consistency systems, and transaction lifecycle in financial services. Experience building, documenting, and scaling RESTful APIs in an API-first platform environment. Comfort with cloud-native tooling, containerization, and DevOps workflows (CI/CD, blue-green deployment, rollback strategies). Demonstrated understanding of observability practices: structured logging, distributed tracing, and alerting workflows. Brownie Points Experience in payments, card issuance, or remittance infrastructure. Working knowledge of PHP (for legacy systems). Contributions to Go open-source projects or public technical content. Experience with GenAI development tools like AWS Q , CodeWhisperer in a team setting Track record of delivering high-quality services in regulated environments with audit, compliance, and security mandates. Engagement Model:: Direct placement with client This is remote role Shift timings: :10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: AWS Q, CodeWhisperer, Gen AI, CI/CD, contenarization, Go, microservices, RESTful API, MySQL, PHP, PostgreSQL MatchMove is Looking for: As a Technical Lead (Backend ), you will play a pivotal role in shaping the engineering foundation for a robust, real-time, cross-border payment platform. You’ll be writing clean, secure, and scalable Go services powering billions in financial flows, while championing engineering excellence and thoughtful platform design. You will contribute to:: Developing and scaling distributed payment transaction systems for cross-border and domestic remittance use cases. Designing resilient microservices in Go for high-volume, low-latency transaction flows with regional compliance and localization. Owning service-level metrics such as SLA adherence, latency (p95/p99), throughput, and availability. Building API-first products with strong documentation, mocks, and observability from day one. Enabling faster, safer development by leveraging Generative AI for test generation, documentation, and repetitive coding tasks — while maintaining engineering hygiene. Mentoring a high-performing, globally distributed engineering team and contributing to code reviews, design sessions, and cross-team collaboration. Responsibilities Lead design and development of backend services in Go with concurrency, memory safety, and observability in mind. Manage service uptime and reliability across multi-region deployments via dashboards, tracing, and alerting. Maintain strict SLAs for mission-critical payment operations and support incident response during SLA violations. Profile and optimize Go services using tools like pprof, benchstat, and the Go race detector. Drive code quality through test-driven development, code reviews, and API-first workflows (OpenAPI / Swagger). Collaborate cross-functionally with Product, QA, DevOps, Compliance, and Business to ensure production-readiness. Maintain well-documented service boundaries and internal libraries for scalable engineering velocity. Encourage strategic use of Generative AI for API mocking, test data generation, schema validation, and static analysis. Advocate for clean architecture, technical debt remediation, and security best practices (e.g., rate limiting, mTLS, context timeouts). Requirements Atleast 7 years of engineering experience with deep expertise in Go (Golang). Expert-level understanding of concurrency, goroutines, channels, synchronization primitives, and distributed coordination patterns Strong grasp of profiling and debugging Go applications, memory management, and performance tuning. Proven experience in instrumenting production systems for SLAs/SLIs with tools like Prometheus, Grafana, or OpenTelemetry. Solid experience with PostgreSQL / MySQL, schema design for high-consistency systems, and transaction lifecycle in financial services. Experience building, documenting, and scaling RESTful APIs in an API-first platform environment. Comfort with cloud-native tooling, containerization, and DevOps workflows (CI/CD, blue-green deployment, rollback strategies). Demonstrated understanding of observability practices: structured logging, distributed tracing, and alerting workflows. Brownie Points Experience in payments, card issuance, or remittance infrastructure. Working knowledge of PHP (for legacy systems). Contributions to Go open-source projects or public technical content. Experience with GenAI development tools like AWS Q , CodeWhisperer in a team setting Track record of delivering high-quality services in regulated environments with audit, compliance, and security mandates. Engagement Model:: Direct placement with client This is remote role Shift timings: :10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: AWS Q, CodeWhisperer, Gen AI, CI/CD, contenarization, Go, microservices, RESTful API, MySQL, PHP, PostgreSQL MatchMove is Looking for: As a Technical Lead (Backend ), you will play a pivotal role in shaping the engineering foundation for a robust, real-time, cross-border payment platform. You’ll be writing clean, secure, and scalable Go services powering billions in financial flows, while championing engineering excellence and thoughtful platform design. You will contribute to:: Developing and scaling distributed payment transaction systems for cross-border and domestic remittance use cases. Designing resilient microservices in Go for high-volume, low-latency transaction flows with regional compliance and localization. Owning service-level metrics such as SLA adherence, latency (p95/p99), throughput, and availability. Building API-first products with strong documentation, mocks, and observability from day one. Enabling faster, safer development by leveraging Generative AI for test generation, documentation, and repetitive coding tasks — while maintaining engineering hygiene. Mentoring a high-performing, globally distributed engineering team and contributing to code reviews, design sessions, and cross-team collaboration. Responsibilities Lead design and development of backend services in Go with concurrency, memory safety, and observability in mind. Manage service uptime and reliability across multi-region deployments via dashboards, tracing, and alerting. Maintain strict SLAs for mission-critical payment operations and support incident response during SLA violations. Profile and optimize Go services using tools like pprof, benchstat, and the Go race detector. Drive code quality through test-driven development, code reviews, and API-first workflows (OpenAPI / Swagger). Collaborate cross-functionally with Product, QA, DevOps, Compliance, and Business to ensure production-readiness. Maintain well-documented service boundaries and internal libraries for scalable engineering velocity. Encourage strategic use of Generative AI for API mocking, test data generation, schema validation, and static analysis. Advocate for clean architecture, technical debt remediation, and security best practices (e.g., rate limiting, mTLS, context timeouts). Requirements Atleast 7 years of engineering experience with deep expertise in Go (Golang). Expert-level understanding of concurrency, goroutines, channels, synchronization primitives, and distributed coordination patterns Strong grasp of profiling and debugging Go applications, memory management, and performance tuning. Proven experience in instrumenting production systems for SLAs/SLIs with tools like Prometheus, Grafana, or OpenTelemetry. Solid experience with PostgreSQL / MySQL, schema design for high-consistency systems, and transaction lifecycle in financial services. Experience building, documenting, and scaling RESTful APIs in an API-first platform environment. Comfort with cloud-native tooling, containerization, and DevOps workflows (CI/CD, blue-green deployment, rollback strategies). Demonstrated understanding of observability practices: structured logging, distributed tracing, and alerting workflows. Brownie Points Experience in payments, card issuance, or remittance infrastructure. Working knowledge of PHP (for legacy systems). Contributions to Go open-source projects or public technical content. Experience with GenAI development tools like AWS Q , CodeWhisperer in a team setting Track record of delivering high-quality services in regulated environments with audit, compliance, and security mandates. Engagement Model:: Direct placement with client This is remote role Shift timings: :10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Java expertise to review evaluations completed by data annotators assessing AI-generated Java code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated Java code. Assess if the Java code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in Java development, QA, or code review. Strong knowledge of Java syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Java expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C++ expertise to review evaluations completed by data annotators assessing AI-generated Java code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated C++ code. Assess if the C++ code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in C++ development, QA, or code review. Strong knowledge of C++ syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C++ expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: AWS Q, CodeWhisperer, Gen AI, CI/CD, contenarization, Go, microservices, RESTful API, MySQL, PHP, PostgreSQL MatchMove is Looking for: As a Technical Lead (Backend ), you will play a pivotal role in shaping the engineering foundation for a robust, real-time, cross-border payment platform. You’ll be writing clean, secure, and scalable Go services powering billions in financial flows, while championing engineering excellence and thoughtful platform design. You will contribute to:: Developing and scaling distributed payment transaction systems for cross-border and domestic remittance use cases. Designing resilient microservices in Go for high-volume, low-latency transaction flows with regional compliance and localization. Owning service-level metrics such as SLA adherence, latency (p95/p99), throughput, and availability. Building API-first products with strong documentation, mocks, and observability from day one. Enabling faster, safer development by leveraging Generative AI for test generation, documentation, and repetitive coding tasks — while maintaining engineering hygiene. Mentoring a high-performing, globally distributed engineering team and contributing to code reviews, design sessions, and cross-team collaboration. Responsibilities Lead design and development of backend services in Go with concurrency, memory safety, and observability in mind. Manage service uptime and reliability across multi-region deployments via dashboards, tracing, and alerting. Maintain strict SLAs for mission-critical payment operations and support incident response during SLA violations. Profile and optimize Go services using tools like pprof, benchstat, and the Go race detector. Drive code quality through test-driven development, code reviews, and API-first workflows (OpenAPI / Swagger). Collaborate cross-functionally with Product, QA, DevOps, Compliance, and Business to ensure production-readiness. Maintain well-documented service boundaries and internal libraries for scalable engineering velocity. Encourage strategic use of Generative AI for API mocking, test data generation, schema validation, and static analysis. Advocate for clean architecture, technical debt remediation, and security best practices (e.g., rate limiting, mTLS, context timeouts). Requirements Atleast 7 years of engineering experience with deep expertise in Go (Golang). Expert-level understanding of concurrency, goroutines, channels, synchronization primitives, and distributed coordination patterns Strong grasp of profiling and debugging Go applications, memory management, and performance tuning. Proven experience in instrumenting production systems for SLAs/SLIs with tools like Prometheus, Grafana, or OpenTelemetry. Solid experience with PostgreSQL / MySQL, schema design for high-consistency systems, and transaction lifecycle in financial services. Experience building, documenting, and scaling RESTful APIs in an API-first platform environment. Comfort with cloud-native tooling, containerization, and DevOps workflows (CI/CD, blue-green deployment, rollback strategies). Demonstrated understanding of observability practices: structured logging, distributed tracing, and alerting workflows. Brownie Points Experience in payments, card issuance, or remittance infrastructure. Working knowledge of PHP (for legacy systems). Contributions to Go open-source projects or public technical content. Experience with GenAI development tools like AWS Q , CodeWhisperer in a team setting Track record of delivering high-quality services in regulated environments with audit, compliance, and security mandates. Engagement Model:: Direct placement with client This is remote role Shift timings: :10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C# expertise to review evaluations completed by data annotators assessing AI-generated C# code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated C# code. Assess if the C# code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in C# development, QA, or code review. Strong knowledge of C# syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C# expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: AWS Q, CodeWhisperer, Gen AI, CI/CD, contenarization, Go, microservices, RESTful API, MySQL, PHP, PostgreSQL MatchMove is Looking for: As a Technical Lead (Backend ), you will play a pivotal role in shaping the engineering foundation for a robust, real-time, cross-border payment platform. You’ll be writing clean, secure, and scalable Go services powering billions in financial flows, while championing engineering excellence and thoughtful platform design. You will contribute to:: Developing and scaling distributed payment transaction systems for cross-border and domestic remittance use cases. Designing resilient microservices in Go for high-volume, low-latency transaction flows with regional compliance and localization. Owning service-level metrics such as SLA adherence, latency (p95/p99), throughput, and availability. Building API-first products with strong documentation, mocks, and observability from day one. Enabling faster, safer development by leveraging Generative AI for test generation, documentation, and repetitive coding tasks — while maintaining engineering hygiene. Mentoring a high-performing, globally distributed engineering team and contributing to code reviews, design sessions, and cross-team collaboration. Responsibilities Lead design and development of backend services in Go with concurrency, memory safety, and observability in mind. Manage service uptime and reliability across multi-region deployments via dashboards, tracing, and alerting. Maintain strict SLAs for mission-critical payment operations and support incident response during SLA violations. Profile and optimize Go services using tools like pprof, benchstat, and the Go race detector. Drive code quality through test-driven development, code reviews, and API-first workflows (OpenAPI / Swagger). Collaborate cross-functionally with Product, QA, DevOps, Compliance, and Business to ensure production-readiness. Maintain well-documented service boundaries and internal libraries for scalable engineering velocity. Encourage strategic use of Generative AI for API mocking, test data generation, schema validation, and static analysis. Advocate for clean architecture, technical debt remediation, and security best practices (e.g., rate limiting, mTLS, context timeouts). Requirements Atleast 7 years of engineering experience with deep expertise in Go (Golang). Expert-level understanding of concurrency, goroutines, channels, synchronization primitives, and distributed coordination patterns Strong grasp of profiling and debugging Go applications, memory management, and performance tuning. Proven experience in instrumenting production systems for SLAs/SLIs with tools like Prometheus, Grafana, or OpenTelemetry. Solid experience with PostgreSQL / MySQL, schema design for high-consistency systems, and transaction lifecycle in financial services. Experience building, documenting, and scaling RESTful APIs in an API-first platform environment. Comfort with cloud-native tooling, containerization, and DevOps workflows (CI/CD, blue-green deployment, rollback strategies). Demonstrated understanding of observability practices: structured logging, distributed tracing, and alerting workflows. Brownie Points Experience in payments, card issuance, or remittance infrastructure. Working knowledge of PHP (for legacy systems). Contributions to Go open-source projects or public technical content. Experience with GenAI development tools like AWS Q , CodeWhisperer in a team setting Track record of delivering high-quality services in regulated environments with audit, compliance, and security mandates. Engagement Model:: Direct placement with client This is remote role Shift timings: :10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: AWS Q, CodeWhisperer, Gen AI, CI/CD, contenarization, Go, microservices, RESTful API, MySQL, PHP, PostgreSQL MatchMove is Looking for: As a Technical Lead (Backend ), you will play a pivotal role in shaping the engineering foundation for a robust, real-time, cross-border payment platform. You’ll be writing clean, secure, and scalable Go services powering billions in financial flows, while championing engineering excellence and thoughtful platform design. You will contribute to:: Developing and scaling distributed payment transaction systems for cross-border and domestic remittance use cases. Designing resilient microservices in Go for high-volume, low-latency transaction flows with regional compliance and localization. Owning service-level metrics such as SLA adherence, latency (p95/p99), throughput, and availability. Building API-first products with strong documentation, mocks, and observability from day one. Enabling faster, safer development by leveraging Generative AI for test generation, documentation, and repetitive coding tasks — while maintaining engineering hygiene. Mentoring a high-performing, globally distributed engineering team and contributing to code reviews, design sessions, and cross-team collaboration. Responsibilities Lead design and development of backend services in Go with concurrency, memory safety, and observability in mind. Manage service uptime and reliability across multi-region deployments via dashboards, tracing, and alerting. Maintain strict SLAs for mission-critical payment operations and support incident response during SLA violations. Profile and optimize Go services using tools like pprof, benchstat, and the Go race detector. Drive code quality through test-driven development, code reviews, and API-first workflows (OpenAPI / Swagger). Collaborate cross-functionally with Product, QA, DevOps, Compliance, and Business to ensure production-readiness. Maintain well-documented service boundaries and internal libraries for scalable engineering velocity. Encourage strategic use of Generative AI for API mocking, test data generation, schema validation, and static analysis. Advocate for clean architecture, technical debt remediation, and security best practices (e.g., rate limiting, mTLS, context timeouts). Requirements Atleast 7 years of engineering experience with deep expertise in Go (Golang). Expert-level understanding of concurrency, goroutines, channels, synchronization primitives, and distributed coordination patterns Strong grasp of profiling and debugging Go applications, memory management, and performance tuning. Proven experience in instrumenting production systems for SLAs/SLIs with tools like Prometheus, Grafana, or OpenTelemetry. Solid experience with PostgreSQL / MySQL, schema design for high-consistency systems, and transaction lifecycle in financial services. Experience building, documenting, and scaling RESTful APIs in an API-first platform environment. Comfort with cloud-native tooling, containerization, and DevOps workflows (CI/CD, blue-green deployment, rollback strategies). Demonstrated understanding of observability practices: structured logging, distributed tracing, and alerting workflows. Brownie Points Experience in payments, card issuance, or remittance infrastructure. Working knowledge of PHP (for legacy systems). Contributions to Go open-source projects or public technical content. Experience with GenAI development tools like AWS Q , CodeWhisperer in a team setting Track record of delivering high-quality services in regulated environments with audit, compliance, and security mandates. Engagement Model:: Direct placement with client This is remote role Shift timings: :10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less