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 : 6.00 + years Salary : INR 6000000-6500000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster 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

Minimum qualifications: Bachelor's degree in Computer Science, a related technical field or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects. Preferred qualifications: Experience in designing, productionizing and debugging distributed systems. Experience working in full-stack development and machine learning systems and optimizing system performance (latency, throughput, efficiency) and ensuring reliability. Ability to lead challenging and cross-functional infrastructure projects from inception to production deployment and operation. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Responsibilities Lead and mentor a team of engineers, fostering a culture of technical excellence, collaboration, and innovation. Develop technical goals and roadmap for areas of the team, aligning with the overall Maps business generation strategy and business goals. Drive the design and implementation of systems, ensuring quality and performance. Identify and address technical challenges, including those with ambiguous requirements, and drive the team to solutions. Partner with other engineering teams (e.g., Geo, Waze) and cross-functional teams (e.g., Product, UX, Data Science) to deliver integrated solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. How will you make an impact in this role? Manage and Lead the Discovery, Development and Maintenance of scalable AI/ML and Gen-AI driven capabilities in the area of Document AI, Computer Vision, NLP, Chatbots (Conversational AI). Direct and lead the Research and Deployment of AI and Gen-AI solutions to power enterprise business needs Analyzes business requirements and directs the translation into AI/machine learning-driven technical solutions, evaluating business needs and guiding the development of models and solutions Deliver scalable AI solutions, managing interdisciplinary teams to meet business and technical requirements Create data pipelines that feed machine learning models throughout the model lifecycle including training, inference ,HITL and re-training . Closely follow research and open-source developments/publications and apply them. Drive high-level and detailed technical design conversations and reviews Function as an active member of an agile team Minimum Qualifications BS or MS degree in computer science, computer engineering, or other technical discipline. Strong proficiency in Python language, machine learning libraries and SQL Core competencies in distributed technologies including Python frameworks, API Design, Linux, JSON, Postgres, NoSQL databases etc. Demonstrated experience in building and deploying a diverse set of ML models including vision and NLP based models at scale Experience in designing and implementing highly scalable, low latency Python applications. Familiarity with CI/CD pipelines and DevOps tools (Jenkins, GitLab). Proficiency with Containers (Docker) and orchestration (Airflow, Kubernetes) Practical knowledge of caching and distributed systems. Team player and a hands-on engineer. Have excellent written and verbal communications skills. Preferred Qualifications 8+ years of software development experience Experience leading a small group of engineers in a lead role Hands-on experience in GCP/AWS/Azure cloud is a preferred Experience in Financial Services industry is a plus We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Position Summary Do you have strong analytical instincts and a deep interest in global financial markets. Are you excited by the challenge of interpreting volatility, pricing dynamics, and real-time market behavior. If so, We are seeking a Quantitative Developer to join our dynamic team and collaborate with market analysts to innovate and create actionable strategies in a fast-paced, high-stakes environment. If you’re passionate about coding, problem-solving, and the exciting world of finance, this is the opportunity to make an impact (and reap the rewards). Job Profile Develop and Optimize Systems based strategy : Build and refine low/medium-latency strategies in C++ and .net framework to maintain a competitive edge in the markets. Collaborate with Market Analysts: Work closely with market analysts and developers to translate complex market data into profitable strategies. Enhance and becktest Algorithmic Strategies: Contribute to the design, development, and optimization of algorithmic trading strategies with a focus on performance and scalability. Requirements Education Qualifications Educational Background: Degree in Engineering, Mathematics, Finance, or a related field. Work Experience Minimum 1+ years of relevant experience, preferably in finance or a related industry. Skill Set Proficiency in C# (preferred) or .net, Python, C++. Advanced Excel skills and experience with statistics. Familiarity with low-latency trading systems and performance optimization techniques. Location: Gurgaon, Haryana Job Type: Full-Time Date of Joining: Immediate How to Apply: Ready to take your next career step? Apply now by filling out the application form and join the Futures First team! For any questions, feel free to reach out. We’re looking forward to welcoming you to our innovative and rewarding environment! Show more Show less

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Application Description - API Management API Management Platform provides a platform to advertise and discover Services/APIs, formalize contracts and SLOs, and automated controls to enforce them. API Gateway being the center of platform, it is a simple and highly scalable technology-agnostic reverse proxy designed to integrate seamlessly with microservices, monolithic apps, and serverless architectures onto cloud Responsibilities And Qualifications As part of our global API Management Platform team you will work on various components as a Software Engineer. Your role includes specification, development, rollout of new features. You are expected to contribute to the vision, understand our product roadmap, integrate business value with experience, and contribute to building an engineering culture within the team. We expect the successful candidate to deliver high quality software and to be passionate about software engineering. You must have a proficient understanding of software development concepts and good understanding of Cloud concepts is needed. How will you fulfill your potential? Design and implement the API management ecosystem, including development, API publications, deployment, and monitoring Define guidelines and best practices in API development, standards and lifecycle management Partner with cloud providers such as AWS to shape the future of public cloud services for finance industry Basic Qualifications Strong technical ability, willingness to learn and evolve your skills with advances in technology 2-5 years of relevant professional experience using a programming language (preferably Java) Hands-on Java developer, with a solid grasp of Java development and testing best practices Experience with CI/CD and automated deployment pipelines Team player, eager to work and collaborate in a global, rapidly developing organization Analytical mindset, creativity, and commercial focus Strong oral and written communication skills Preferred Qualifications Bachelor or Advanced Degree in Computer/Electronics/Electrical or equivalent Knowledge and experience of cloud technologies and tooling Experience working with containers and Kubernetes Experience with API development and tools Working knowledge of Golang or Lua languages Develop full stack applications with due consideration to security, design, validation and SDLC framework Participate in system design consulting and platform management Develop resilient, scalable and secure solutions using cloud native services About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Show more Show less

The CME Post Trade and Risk analysis team is looking for a Technology Solution Analyst to join the global Technology solutions and architecture team. The team is responsible for providing technical analysis that drives the evolution and growth of CME’s post trade and risk systems. Our systems need to be both low latency and have high reliability while continuously delivering new features. The role will collaborate with the business, operations, development, and testing teams to provide creative solutions that meet the needs of our business and maintain our performance profile. The analyst will perform execution delivery activities like impact analysis, requirements discovery, scenario creation, test distillation, data mapping and modeling, functional and logical design, as well as any other activity that empowers the team to deliver. Our primary goal is to create shared understanding and pressure test ideas while getting new features ready for production. The Ideal Candidate Consistently demonstrates positive energy and strong work ethic by getting things done Is the type of person people are naturally drawn to and enjoy working with Embodies high ethical character and makes good decisions Typical Responsibilities Supporting elicitation, discovery, prototyping, and technical business analysis activities Performing project analysis work such as detailed requirement build out, user story analysis, and messaging/interface specifications Contributing to the product vision and impact assessment for new projects and enhancements Developing acceptance criteria to support our automated testing and behavior driven development (BDD) Establishing trusted working relationships with your stakeholders, delivery teams and sponsors Creating data design, flows and mappings between components Partnering with DEV and QA on solution assessment and validation Contributing to and managing an ever-evolving knowledge base You’d Be a Good Fit If You Have 1-3 years of business systems analysis, architecture, or related experience Experience in product development, SDLC, Agile methodologies and practices Excellent written and verbal communication abilities Prior experience in supporting and implementing technology based projects The ability to work with individuals at all levels of the organization as well as external customers and vendors Great facilitation, negotiation and influence skills Excellent problem solving thought process and mentality A degree in business, information systems, computer science or similar Great, But Not Required Experience in Financial Markets (e.g. Futures, Options, Cash, OTC, exchange-based, FCM, brokerage, middle and back office, private equity, proprietary trading) Knowledge of financial products, electronic trading, order management, market data, clearing, or post-trade processing Understanding of acceptance test driven development (ATDD), behavior driven development (BDD) or domain specific language (DSL) automated testing Experience with visual modeling, message design + flow, process modeling, and/or data modeling tools (FIX, SBE, GPB, FAST, XML) Knowledge of relational databases, XML, JSON, object oriented programming languages, cloud based integrations and tools Prior experience using Atlassian products (e.g. JIRA, Confluence) CME Group: Where Futures are Made CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more. At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic. Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here. Show more Show less

Role: Senior .NET Engineer Experience: 5-12 Years Location: Hyderabad This is a WFO (Work from Office) role. Mandatory Skills: Dot Net Core, C#, Kafka, CI/CD pipelines, Observability tools, Orchestration tools, Cloud Microservices Interview Process First round - Online test Second round - Virtual technical discussion Manager/HR round - Virtual discussion Required Qualification Company Overview It is a globally recognized leader in the fintech industry, delivering cutting-edge trading solutions for professional traders worldwide. With over 15 years of excellence, a robust international presence, and a team of over 300+ skilled professionals, we continually push the boundaries of technology to remain at the forefront of financial innovation. Committed to fostering a collaborative and dynamic environment, our prioritizes technical excellence, innovation, and continuous growth for our team. Join our agile-based team to contribute to the development of advanced trading platforms in a rapidly evolving industry. Position Overview We are seeking a highly skilled Senior .NET Engineer to play a pivotal role in the design, development, and optimization of highly scalable and performant domain-driven microservices for our real-time trading applications. This role demands advanced expertise in multi-threaded environments, asynchronous programming, and modern software design patterns such as Clean Architecture and Vertical Slice Architecture. As part of an Agile Squad, you will collaborate with cross-functional teams to deliver robust, secure, and efficient systems, adhering to the highest standards of quality, performance, and reliability. This position is ideal for engineers who excel in building low-latency, high-concurrency systems and have a passion for advancing fintech solutions. Key Responsibilities System Design and Development Architect and develop real-time, domain-driven microservices using .NET Core to ensure scalability, modularity, and performance. Leverage multi-threaded programming techniques and asynchronous programming paradigms to build systems optimized for high-concurrency workloads. Implement event-driven architectures to enable seamless communication between distributed services, leveraging tools such as Kafka or AWS SQS. System Performance and Optimization Optimize applications for low-latency and high-throughput in trading environments, addressing challenges related to thread safety, resource contention, and parallelism. Design fault-tolerant systems capable of handling large-scale data streams and real-time events. Proactively monitor and resolve performance bottlenecks using advanced observability tools and techniques. Architectural Contributions Contribute to the design and implementation of scalable, maintainable architectures, including Clean Architecture, Vertical Slice Architecture, and CQRS. Collaborate with architects and stakeholders to align technical solutions with business requirements, particularly for trading and financial systems. Employ advanced design patterns to ensure robustness, fault isolation, and adaptability. Agile Collaboration Participate actively in Agile practices, including Scrum ceremonies such as sprint planning, daily stand-ups and retrospectives.. Collaborate with Product Owners and Scrum Masters to refine technical requirements and deliver high-quality, production-ready software. Code Quality and Testing Write maintainable, testable, and efficient code adhering to test-driven development (TDD) methodologies. Conduct detailed code reviews, ensuring adherence to best practices in software engineering, coding standards, and system architecture. Develop and maintain robust unit, integration, and performance tests to uphold system reliability and resilience. Monitoring and Observability Integrate Open Telemetry to enhance system observability, enabling distributed tracing, metrics collection, and log aggregation. Collaborate with DevOps teams to implement real-time monitoring dashboards using tools such as Prometheus, Grafana, and Elastic (Kibana). Ensure systems are fully observable, with actionable insights into performance and reliability metrics. Required Expertise- T echnical Expertise and Skills: : 5+ years of experience in software development, with a strong focus on .NET Core and C#. Deep expertise in multi-threaded programming, asynchronous programming, and handling concurrency in distributed systems. Extensive experience in designing and implementing domain-driven microservices with advanced architectural patterns like Clean Architecture or Vertical Slice Architecture. Strong understanding of event-driven systems, with knowledge of messaging frameworks such as Kafka, AWS SQS, or RabbitMQ. Proficiency in observability tools, including Open Telemetry, Prometheus, Grafana, and Elastic (Kibana). Hands-on experience with CI/CD pipelines, containerization using Docker, and orchestration tools like Kubernetes. Expertise in Agile methodologies under Scrum practices. Solid knowledge of Git and version control best practices. Beneficial Skills Familiarity with Saga patterns for managing distributed transactions. Experience in trading or financial systems, particularly with low-latency, high-concurrency environments. Advanced database optimization skills for relational databases such as SQL Server. Certifications And Education Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Relevant certifications in software development, system architecture, or AWS technologies are advantageous. Why Join? Exceptional team building and corporate celebrations Be part of a high-growth, fast-paced fintech environment. Flexible working arrangements and supportive culture. Opportunities to lead innovation in the online trading space. Skills: ci/cd pipelines,prometheus,orchestration tools,dot net core,grafana,git,cloud microservices,aws sqs,agile methodologies,.net core,vertical slice architecture,ci/cd pipeline,kafka,clean architecture,test-driven development (tdd),observability tools,.net,asynchronous programming,c#,elastic (kibana),event-driven architectures,multi-threaded programming Show more Show less

Hi, We have an opening for Java + AWS developer - Mandatory skill. We are looking for a senior developer for this role. Knowledge of REACT tools including React.js, TypeScript and JavaScript ES6, Webpack, Enzyme, Redux, and Flux. In-depth knowledge of Java, JavaScript, CSS, HTML, and front-end languages. Experience with user interface design. experience in AWS Amplify, RDS, Event Bridge, SNS, SQS and SES Hyderabad location - 5 days' work from office! Years of experience 12 + years can apply JD below: - DESCRIPTION At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets. With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally. By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets. We're looking for motivated, results-oriented people to join our team. As a Java Lead Developer, you will be mentoring a team, responsible for contributing to the design, development, maintenance and support of ICE Digital Trade, high-volume enterprise applications.This is an excellent opportunity for a technologist to further develop their problem-solving skills and learn hands on from a small and experienced team. The ideal candidate must be results-oriented, self-motivated and can thrive in a fast-paced environment. This role requires frequent interactions with project and product managers, developers, quality assurance and other stakeholders, to ensure delivery of a world class application to our users. RESPONSIBILITIES Create an inspiring team environment with an open communication culture Motivating the team to achieve organizational goals. Developing and implementing a timeline to achieve targets. Delegating tasks to team members. Identifying training needs of team members to maximize their potential and provide coaching. Empowering team members with skills to improve their confidence, product knowledge, and communication skills. Design and implement software solutions based on standard design and architecture patterns for user requirements. Accurately document the design and implementation steps, review with business analysts, development, and QA teams Collaborate with product, project management, and QA team in requirements analysis, solution design, providing development work estimates and project status. Assist to develop and ensure complete functional and non-functional specifications. Collaborate with other internal teams to translate business requirements into technical implementation for the automation of existing processes and the development of new applications. Understand complex business logic in existing systems and transition it to new technologies and systems. Work with system operations, database administration and systems engineering teams in production support and defining system recovery procedures. Identify root causes and develop solutions for program failures. Plan and execute unit tests to ensure the developed code is free of functional defects. Work closely with Performance Test team to identify performance hotspots and in providing timely resolution during load tests. Work in an agile and continuous integration environment with a command of SDLC tools . REQUIREMENTS Bachelor’s degree in Computer Science or Information technology. 10+ years of experience developing low latency, high-performance transactional software systems and components using standard Enterprise Integration Patterns and design principles. 2+ years of experience in leading team and technical management activities. A deep knowledge of: Java 8+ OOD, Design Patterns Distributed messaging, JMS Spring and its frameworks like Spring Boot, Spring MVC, Spring Data Multi-threaded server-side development Strong experience with Oracle PL/SQL and Database Technologies Experience applying continuous improvement tools and agile development methods to enhance and evolve complex systems driven by business needs. Strong written and verbal communication skills Ability to multitask and work independently on multiple projects. Demonstrable skills in production support and root cause analysis Open to learn and willing to participate in development using new frameworks, programming languages. Good to Have Knowledge of REACT tools including React.js, TypeScript and JavaScript ES6, Webpack, Enzyme, Redux, and Flux. In-depth knowledge of Java, JavaScript, CSS, HTML, and front-end languages. Experience with user interface design. experience in AWS Amplify, RDS, Event Bridge, SNS, SQS and SES Preferred Experience developing data processing pipelines using distributed compute principles and open-source frameworks. Experience in developing micro-services in container-based Kubernetes platforms (OpenShift, Tanzu) Experience developing Web UI using JavaScript based frameworks like React/JS Exposure to the financial services technologies domain, particularly in futures and options Working knowledge with shell scripts and CLI in Linux Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status. Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Overview: Lead the architecture and delivery of generative AI solutions, ensuring best practices in data processing, LLM integration, and AWS deployment. Key Responsibilities Architect and oversee AI/ML pipelines using AWS Bedrock for hosting and fine-tuning LLMs. Design and manage vector search infrastructure (OpenSearch or equivalent) for semantic retrieval. Define data workflows: text chunking, preprocessing, and vectorization (Python or similar). Evaluate and integrate LLMs (Anthropic Claude, OpenAI GPT, etc.), optimizing for cost, latency, and accuracy. Mentor engineers on coding standards (Python), CI/CD, and production deployment (Docker, Kubernetes/EKS). Qualifications 5+ years in AI/ML engineering, with 2+ years leading AI projects. Hands-on AWS Bedrock and OpenSearch experience. Strong Python skills for data pipelines and microservices. Familiar with LLM workflows (prompt engineering, fine-tuning). Solid communication and stakeholder-management abilities. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

Job Title: Senior Java Developer Location: Airoli, Mumbai (Onsite) Industry: BFSI / Fintech About the Role We are looking for a highly skilled and passionate Senior Java Developer with strong hands-on experience in developing scalable, high-performance applications. You will play a critical role in building low-latency, high-throughput systems focused on risk and fraud monitoring in the BFSI domain. Key Responsibilities Design and develop microservices using Java (latest versions) , Spring Boot , and RESTful APIs Build robust data streaming solutions using Apache Flink and Kafka Implement business rules using Drools Rule Engine Contribute to the development of low-latency, high-throughput platforms for fraud detection and risk monitoring Participate in Agile development, code reviews, and CI/CD pipelines with a strong focus on Test-Driven Development (TDD) Debug complex issues and take full ownership from design to deployment Collaborate with cross-functional teams and participate in cloud-native development using AWS (IaaS / PaaS) Required Skills Java , Spring Boot , REST APIs , Virtual Threads Apache Flink , Kafka – real-time data stream processing Drools Rule Engine Strong grasp of J2EE , OOP principles , and Design Patterns Experience working with CI/CD tools , Git , Quay , TDD Familiarity with Cloud-native solutions, especially in AWS environments Preferred Experience BFSI / Fintech domain experience in building risk and fraud monitoring applications Exposure to Agile methodology and tools like JIRA Solid communication skills and strong sense of ownership Show more Show less

Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software (with observability platforms such as AppDynamics and Datadog), construction teams lack automated feedback loops to help projects stay on schedule and on budget. Without this observability, construction wastes a whopping $3T per year because glitches aren’t detected fast enough to recover. Doxel AI exists to bring computer vision to construction, so the industry can deliver what society needs to thrive. From hospitals to data centers, from foreman to VPs of construction, teams use Doxel to make better decisions everyday. In fact, Doxel has contributed to the construction of the facilities that provide many of the products and services you use everyday. We have classic computer vision, deep learning ML object detection, a low-latency 3D three.js web app, a complex data pipeline powering it all in the background. We’re building out new workflows, analytics dashboards, and forecasting engines. We’re at an exciting stage of scale as we build upon our growing market momentum. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others. Join us in bringing AI to construction! The Role: As a Backend Enginee r , your mission is to architect and build the resilient and scalable systems that power the intelligence behind Doxel’s AI-driven construction platform. You'll tackle complex infrastructure and data engineering challenges, shaping how terabytes of real-time jobsite data are processed, stored, and served. Your work will enable smarter decision-making for some of the world’s largest construction projects. You’ll collaborate closely with our product, frontend, computer vision, and 3D teams to design seamless end-to-end solutions—from field data capture to actionable insights. If you love solving real-world problems at scale and thrive in a fast-paced, mission-driven team—this role is for you. Who You Are: You’re a backend engineer with deep curiosity and a strong grasp of building distributed systems. You care about clean, efficient code, resilient infrastructure, and scalable architectures. You’re hungry to solve tough technical problems and improve systems that directly impact the real world—especially in industries like construction where every decision counts. Bonus: you’ve worked on data-heavy platforms or have experience integrating machine learning/computer vision pipelines into production. What You’ll Do: Design, build, and scale robust backend systems and pipelines for data ingestion, processing, and analytics Develop high-performance APIs that power real-time 3D visualizations, dashboards, and mobile tools Build and optimize data pipelines that support models and business logic at scale Collaborate across CV/ML, frontend, design, and product teams to deliver end-to-end features Ensure system reliability, observability, monitoring, and graceful degradation for mission-critical tools Leverage, AI tools, cloud infrastructure, containerization, and CI/CD best practices perform thoughtful code reviews, and drive backend engineering best practices What You Bring to Doxel: 4+ years of professional experience as a backend or systems engineer Strong proficiency in modern backend languages like Python, Go, or Node.js Have a test driven development approach. You are someone who believes testing is not an afterthought—it's the foundation. You write tests before code, care deeply about code quality, and value software you can trust Experience designing and maintaining scalable APIs and microservices Experience of working with Computer vision algos at scale is a Plus Proven track record of building and maintaining data pipelines, ideally with real-world complexity Deep knowledge of distributed systems, asynchronous processing, and message queues Experience working with cloud platforms (AWS/GCP/Azure) and containerized environments (Docker, Kubernetes) Comfortable with CI/CD, monitoring, testing, and automation Excellent debugging, profiling, and system design skills Great communicator and collaborator; able to break down complex problems clearly Bonus: experience working with computer vision models, 3D data, or unstructured media pipelines Perks & Benefits: Comprehensive health, dental, and vision insurance for you and your family Unlimited PTO + flexible work environment Generous parental leave Opportunity to work at the cutting edge of AI and real-world impact A culture that values autonomy, ownership, and meaningful engineering Doxel is an equal opportunity employer and actively seeks diversity across our team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Show more Show less

Proven experience in network products and services, with specific focus on Cisco WAN technologies, including ASR and Nexus9K. Expertise in LAN, WAN, MPLS, VPLS, LDP, GRE, BGP, OSPF, and ISIS within a VRF context for L2/L3VPN services, Traffic Engineering, and RSVP. Comprehensive knowledge of multicast concepts, including PIM-SM, PIM-SSM, IGMP, MVPN, and MLDP. Proficiency in product-aligned, service-focused work, with a solid grasp of network automation, SRE, and DevOps or equivalent experience. Working with Agile methodologies (Scrum, Kanban) and project management tools like JIRA. Excellent skills in network packet analysis and packet capture tools for troubleshooting. Familiarity with load balancing technologies, TCP/IP, and multicast in internet environments. Understanding of low-latency technologies commonly used in the financial sector. Experience in Data Centre Networking, including Software-Defined Networking (SDN), Cisco ACI, VxLAN, and related technologies. Proficiency in Service Management processes, preferably with ITIL knowledge. Excellent spoken and written English skills, enabling meaningful collaboration. Show more Show less

Position Summary: We are looking for a skilled Node.js Developer with strong JavaScript expertise and a solid grasp of RDBMS & NoSQL to build high-performance APIs, write efficient and reusable code, implement robust security measures, and optimize data storage solutions with caching. The ideal candidate has experience designing scalable, high-availability applications and integrating multiple data sources for seamless performance. A good understanding of front-end technologies is a plus. Key Responsibilities: Responsible for managing the interchange of data between the server and the users Primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front- end Responsible for integrating the front-end elements built by your co-workers into the application. Therefore a basic understanding of front-end technologies is necessary as well Integration of user-facing elements developed by front-end developers with server side logic Writing reusable, testable, and efficient code Design and implementation of low-latency, high-availability, and performance applications Implementation of security and data protection Design and implementation of data storage solutions using RDBMS, NoSQL and Caching Databases as per the requirements Integration of data storage solutions Requirements: Strong proficiency with JavaScript Knowledge of Node. js core and frameworks Express, StrongLoop, koa, hapi etc. Understanding the nature of asynchronous programming and its quirks and workarounds Good understanding of server-side CSS pre-processors Basic understanding of front-end technologies, such as HTML5, and CSS3 Understanding accessibility and security compliance Integration of multiple data sources and data bases in to one system Understanding fundamental design principles behind a scalable application Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform Creating database schemas that represent and support business processes.Hands-on expertise in MySQL/PostgreSQL, MongoDB, Redis, etc. Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Good to have - Experience working in Elastic search, RabbitMQ, Jenkins, APM Show more Show less

Principal Network Engineer Work Location and Time - Bangalore (Hybrid) and need to be flexible with timings 6 months contract to hire with end client. Key Skills - CCIE certified, API, CI/CD pipeline, ACI, Multicast, trading & PIM, SD-WAN, BGP, OSPF, Switching, routing, Segma routing, Traffic engineering, MPLS, EVPN, Automation, Python & Ansible, Cisco & CCNP Role Responsibilities We will play a pivotal role in designing, building, and maintaining systems, software, and applications across various domains, ensuring the highest quality outcomes. We will independently make technical design and amendment decisions, effectively leading the workload. By analyzing data and understanding business requirements, we will translate them into technical specifications, ensuring alignment with infrastructure and network capacity needs. We will develop dashboards to provide near real-time network status. Collaborating closely with network operations and service teams, we will provide in-depth technical support and guidance for all multicast- and WAN-related issues and implementations. This role requires a proactive problem solver with a deep understanding of multicast protocols, WAN infrastructure, and a passion for delivering exceptional service. When necessary, we will lead upgrades, coordinating efforts with internal teams and third parties. Building accurate documentation and monitoring system performance are essential to support business activities and continuous improvement. We will support the deployment of engineering patterns and contribute to creating solutions by coordinating design requirements to be automated, tested and released Requirements Proven experience in network products and services, with specific focus on Cisco WAN technologies, including ASR and Nexus9K. Expertise in LAN, WAN, MPLS, VPLS, LDP, GRE, BGP, OSPF, and ISIS within a VRF context for L2/L3VPN services, Traffic Engineering, and RSVP. Comprehensive knowledge of multicast concepts, including PIM-SM, PIM-SSM, IGMP, MVPN, and MLDP. Proficiency in product-aligned, service-focused work, with a solid grasp of network automation, SRE, and DevOps or equivalent experience. Working with Agile methodologies (Scrum, Kanban) and project management tools like JIRA. Excellent skills in network packet analysis and packet capture tools for troubleshooting. Familiarity with load balancing technologies, TCP/IP, and multicast in internet environments. Understanding of low-latency technologies commonly used in the financial sector. Experience in Data Centre Networking, including Software-Defined Networking (SDN), Cisco ACI, VxLAN, and related technologies. Proficiency in Service Management processes, preferably with ITIL knowledge. Excellent spoken and written English skills, enabling meaningful collaboration. Show more Show less

Noida, Uttar Pradesh, India Business Intelligence BOLD is seeking for QA professional who will work directly with the BI Development team to validate Business Intelligence solutions. He will build test strategy and test plans and test cases for ETL and Business Intelligence components. He will also validate SQL queries related to test cases and produce test summary reports. Job Description ABOUT THIS TEAM BOLD Business Intelligence(BI) team is a centralized team responsible for managing all aspects of the organization's BI strategy, projects and systems. BI team enables business leaders to make data-driven decisions by providing reports and analysis. The team is responsible for developing and manage a latency-free credible enterprise data warehouse which is a data source for decision making and input to various functions of the organization like Product, Finance, Marketing, Customer Support etc. BI team has four sub-components as Data analysis, ETL, Data Visualization and QA. It manages deliveries through Snowflake, Sisense and Microstrategy as main infrastructure solutions. Other technologies including Python, R, Airflow are also used in ETL, QA and data visualizations. WHAT YOU’LL DO Work with Business Analysts, BI Developers to translate Business requirements into Test Cases Responsible for validating the data sources, extraction of data, applying transformation logic, and loading the data in the target tables. Designing, documenting and executing test plans, test harness, test scenarios/scripts & test cases for manual, automated & bug tracking tools. WHAT YOU’LL NEED Experience in Data Warehousing / BI Testing, using any ETL and Reporting Tool Extensive experience in writing and troubleshooting SQL Queries using any of the Databases – Snowflake/ Redshift / SQL Server / Oracle Exposure to Data Warehousing and Dimensional Modelling Concepts Experience in understanding of ETL Source to Target Mapping Document Experience in testing the code on any of the ETL Tools Experience in Validating the Dashboards / Reports on any of the Reporting tools – Sisense / Tableau / SAP Business Objects / MicroStrategy Hands-on experience and strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). Good experience of Quality Assurance methodologies like Waterfall, V-Model, Agile, Scrum. Well versed with writing detailed test cases for functional & non-functional requirements. Experience on different types of testing that includes Black Box testing, Smoke testing, Functional testing, System Integration testing, End-to-End Testing, Regression testing & User Acceptance testing (UAT) & Involved in Load Testing, Performance Testing & Stress Testing. · Expertise in using TFS / JIRA / Excel for writing the Test Cases and tracking the Exposure in scripting languages like Python to create automated Test Scripts or Automated tools like Query Surge will be an added advantage An effective communicator with strong analytical abilities combined with skills to plan, implement & presentation of projects EXPERIENCE- Senior QA Engineer, BI: 4.5 years+ #LI-SV1 Benefits Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) Additional Benefits Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

SmalBlu is the world’s first cross-layer AI platform that autonomously optimises enterprise data infrastructure across user, app, compute, network, database, and storage layers. Powered by LLM-powered agentic system and proprietary optimisation and compression technologies, SmalBlu helps enterprises cut cloud costs by 40%, carbon footprint by 35%, and query latency by 30%, while enabling deep infrastructure intelligence for CXOs. Preference: Fast learners and track owners with 2+ industry experience in their field. Part-time also works if you are currently working somewhere (30 hours per week min) AI Engineering Scope of Work: You will be responsible for building the core agentic intelligence layer of SmalBlu. This includes developing and fine-tuning ML models for optimizing compute, network, and storage layers across enterprises. You’ll integrate with LangGraph workflows, vector databases, and cost-performance datasets to enable AI-driven decision-making across the platform. Responsibilities: Build intelligent agent workflows using LangChain or LangGraph Train and fine-tune models for resource optimisation, cost prediction, and carbon analytics Integrate custom LLM pipelines with APIs and event systems ( Kafka, REST ) Work on Pinecone or other vector DBs to power infra-aware memory Skills Required: Proficiency in Python Experience with TensorFlow/PyTorch, LangChain, Pinecone Familiarity with LLMs, RAG models, vector search Strong grasp of optimization, compute, or data infra modeling About the Position: Duration: 6-month paid internship with a compensation of upto 50k per month + ESOPs , followed by full-time employment based on performance with competitive pay. Compensation & Perks: ✅ Full-time employment opportunity with full-time pay + incentives post-internship ✅ Hybrid work model ( Ahmedabad preferred ) ✅ Be a core part of a fast-growing impact-driven startup tificial Intelligence, or a related field Application Link : https://forms.gle/VUhCvyPHrw8czdkv8 You can reach out to us at garv@smalblu.ai via mail or at +91 6354057091/+91 8488006997 for any questions. Show more Show less

IPrincipal P/RTL Design Engineer for ARM CMN Fabric and Neoverse Bangalore / Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/ Bangalore Principal IP/RTL Design Engineer for ARM CMN Fabric and Neoverse Position Overview Seeking an IP/RTL Design Engineer with 10+ years of experience to design IP/RTL for ARM Neoverse-based SoCs, focusing on CMN fabric, using Socrates for configuration, targeting AI/HPC datacenter applications. Key Responsibilities Design IP blocks for ARM Neoverse SoCs, integrating CMN fabric (e.g., CMN-700/S3) for cache coherence and interconnect. Develop Verilog/SystemVerilog RTL for high-performance, low-latency designs. Configure CMN topologies using Arm Socrates for optimized performance and scalability. Implement protocols like AMBA CHI, ACE, CXL, PCIe for coherent interconnects. Optimize designs for bandwidth, latency, and power in AI/HPC workloads. Support synthesis, timing closure, and FPGA prototyping and Design Verification team Document microarchitecture and design specifications. Required Qualifications Education: BS/MS/PhD in Electronics/Computer Engineering. Experience: 10+ years in ASIC/FPGA IP/RTL design, 5+ years with ARM Neoverse and CMN fabrics (e.g., CMN-600/700/S3). Skills: Expert in Verilog/SystemVerilog RTL design. Deep knowledge of ARM Neoverse (V1/V3/N2/N3) and CMN interconnects. Deep understanding in system architecture, coherence and cache Experience with Arm Socrates for CMN configuration. Proficiency in AMBA CHI, CXL, PCIe, or CCIX protocols. Familiarity with synthesis and timing tools (e.g., Synopsys Design Compiler). Experience with AI/HPC or datacenter SoC design. Knowledge of DDR5, HBM3, or chiplet-based architectures. Familiarity with UALink or Ultra Ethernet. Strong problem-solving and collaboration skills. What is in it for you? Pure play product work environment Chance to work with a tightly knit group of exceptional engineers who come from the top companies of the Semiconductor world Our pay comprehensively beats "ALL" Semiconductor product players in the Indian market. A meritocracy first work place where each peer is a star A chance to be a part of industry shaping product in entirety (not bits and pieces) from initial stages A chance to work at a startup which already has customers and investor lined up for their product pipeline (We do not have a marketing/sales team, because we do not need them). A chance to learn from industry veterans who have already launched multiple Billion Dollar Semiconductor firms over the last 3 decades. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community" Show more Show less

Principal IP/RTL Design Engineer for Ethernet Switch Bangalore / Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/ Bangalore Position Overview IP/RTL Design Engineer for Ethernet Switch Position Overview We are seeking an experienced IP/RTL Design Engineer with over 10 years of experience to join our team in designing and developing intellectual property (IP) and RTL for Ethernet switches tailored for AI datacenter backend networks. The ideal candidate will have a strong background in digital design, ASIC/FPGA development, Ethernet protocols, and experience with high-performance interconnect protocols such as InfiniBand, NVLink, Infinity Fabric, with a focus on delivering high-performance, low-latency solutions for large-scale AI workloads. Key Responsibilities Design and optimize IP blocks (MAC, PCS, packet processors) for Ethernet switches. Develop synthesizable RTL (Verilog/SystemVerilog) meeting performance and timing goals. Optimize designs for low latency, high throughput, and power efficiency. Implement Ethernet protocols (IEEE 802.3, 100G/400G/800G), ECMP, and congestion control. Apply knowledge of InfiniBand, NVLink, or similar protocols for feature implementation. Use P4 or related languages for programmable packet processing. Collaborate with teams for synthesis, timing closure, and IP integration. Document designs and stay updated on AI networking trends. Required Qualifications Education: BS/MS/PhD in Electrical or Computer Engineering. Technical Skills: Proficient in Verilog/SystemVerilog for design. Knowledge of Ethernet (IEEE 802.3, 100G/400G/800G), ECMP, and congestion control. Experience with InfiniBand, NVLink, or similar protocols. Proficiency in P4 or programmable data plane languages. Knowledge of UALink, Ultra Ethernet, or RDMA/RoCE. Familiarity with power optimization or SDN. Familiarity with synthesis (e.g., Synopsys Design Compiler) and timing tools. Soft Skills: Strong problem-solving, communication, and teamwork skills. What is in it for you? Pure play product work environment Chance to work with a tightly knit group of exceptional engineers who come from the top companies of the Semiconductor world Our pay comprehensively beats "ALL" Semiconductor product players in the Indian market. A meritocracy first work place where each peer is a star A chance to be a part of industry shaping product in entirety (not bits and pieces) from initial stages A chance to work at a startup which already has customers and investor lined up for their product pipeline (We do not have a marketing/sales team, because we do not need them). A chance to learn from industry veterans who have already launched multiple Billion Dollar Semiconductor firms over the last 3 decades. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community" Show more Show less

SmalBlu is the world’s first cross-layer AI platform that autonomously optimises enterprise data infrastructure across user, app, compute, network, database, and storage layers. Powered by LLM-powered agentic system and proprietary optimisation and compression technologies, SmalBlu helps enterprises cut cloud costs by 40%, carbon footprint by 35%, and query latency by 30%, while enabling deep infrastructure intelligence for CXOs. Preference: Fast learners and track owners with 2+ industry experience in their field. Part-time also works if you are currently working somewhere (25- 30 hours per week min) Product Manager Key Responsibilities: Own and manage the end-to-end product lifecycle , ensuring seamless user experience and platform efficiency. Maintain product roadmaps , Jira boards , and execution plans Product Definition, MVP definition refinement Optimise existing product workflows based on customer feedback and data-driven decision-making . Develop clear product roadmaps , feature requirements, and execution plans. Drive user research , competitor benchmarking , and data-led improvements Work closely with AI , Cloud, and BD teams to manage feature delivery Requirements: Strong analytical and problem-solving skills with a data-driven approach. Familiarity with Jira, Confluence , and agile frameworks Ability to work cross-functionally with developers, designers, and business teams . Familiarity with tech products, APIs, and enterprise software Strong communication skills to translate business needs into product requirements . Prior experience in product management, operations. About the Position: Duration : 6-month paid internship with a compensation of up to 40k per month + ESOPs , followed by full-time employment based on performance. Compensation & Perks: ✅ Full-time employment opportunity with full-time pay ✅ Hybrid work model (Ahmedabad preferred) ✅ Be a core part of a fast-growing impact-driven startup Application Link : https://forms.gle/YR3ktZEkAkSAivF66 You can reach out to us at garv@smalblu.ai via mail or at +91 6354057091/+91 8488006997 for any questions. Show more Show less

Job Description We are seeking a highly skilled Network Engineer to join our team at Algoquant Fintech Limited. As a vital member of our IT infrastructure team, you will be responsible for designing, implementing, and maintaining the network security infrastructure critical to our high-frequency trading operations. Responsibilities Network Architecture Design: Design and implement secure, scalable, and high-performance network architectures to support high-frequency trading activities. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Ensure network designs meet industry best practices and compliance standards. Firewall Management Configure, deploy, and maintain firewall policies and rulesets to protect the network perimeter from unauthorized access and cyber threats. Monitor firewall logs and alerts for suspicious activities and security incidents. Conduct regular firewall audits and implement necessary changes to enhance security posture. Switch Configuration Configure and manage layer 2 and layer 3 switches to optimise network performance and reliability. Implement VLANs, trunking, and spanning tree protocols to segment and secure network traffic. Troubleshoot switch-related issues and collaborate with vendors for resolution. Routing Protocols Configure and manage dynamic routing protocols such as OSPF, BGP, and EIGRP to ensure efficient routing of traffic across the network. Optimise routing tables and route summation to minimise network overhead and latency. Monitor routing protocol status and performance metrics for proactive network maintenance. Fortigate Firewall Appliances Deploy and configure Fortigate firewall appliances to provide advanced threat protection and intrusion prevention. Manage FortiGate features such as VPN, NAT, IPS, and SSL inspection to secure network communications. Stay updated with Fortinet's latest technologies and security advisories to mitigate emerging threats. Network Monitoring And Performance Optimisation Implement network monitoring tools to monitor network traffic, bandwidth utilisation, and performance metrics. Identify performance bottlenecks and implement optimisations to ensure low-latency trading operations. Collaborate with other IT teams to troubleshoot and resolve network-related issues impacting trading activities. Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. 2+ years of experience in network security engineering roles, preferably in the financial industry or HFT firms. In-depth knowledge of network protocols, security principles, and best practices. Hands-on experience with firewall management, switch configuration, and routing protocols. Proficiency in Fortigate firewall appliances and security features. Strong analytical and problem-solving skills with the ability to troubleshoot complex network issues. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Show more Show less

Skills: Vmware, Windows, NSX Administration, VMware vRA, troubleshooting ESXi, NSX-v environments, VMware infrastructure, Monitoring, Jio is the new age technology company leading the Digital, Big Data and AI Revolution that is taking place in India. This revolution is going to impact the lives of 1.3 billion Indians and its our responsibility to cater to the needs of every rural and urban Indians by using every skill and technology that is available at our disposal. Jio has over 400 million customers in India, generating petabytes of data every second, and hence the need to build infinitely scaling, low latency, high throughput and highly available systems. 1 Education :- B.E./B.Tech/MCA in Computer Science 2 Experience :- Must have 6+ Years relevant experience in the field of Vmware ,Windows and NSX Administration. 3 Mandatory Skills/Knowledge :- Installation and Configuration: Deploy, install, configure, and upgrade VMware software and virtualization platforms based on client requirements. a. Experience on VMware vRA, vROPS, and vRO b. Experience in P2V, VMotion and VMware virtual center. c. Experience in installing, configuring, troubleshooting ESXi d. Upgrades of NSX-v environments Management Experience with planning, deployment, configuration and administrator of NSX-T Infrastructure Configure Distributed Firewall and Gateway Firewall to protect east-west and north-south traffic Troubleshooting: Identify and resolve issues related to VMware infrastructure, including virtual machines, ESXi hosts, vCenter servers, and networking components. Should be able to handle critical Incidents and able to perform root cause analysis. Should have experience in handling User service request and Alert management. Experience in Deployment of NSX-T DataCenter Infrastructure Work experience in deployment of NSX Manager, NSX Edge nodes, NSX Edge Clusters on VMWare ESXi environments Configure and troubleshooting. Performance Optimization: Monitor and optimize the performance of VMware environments to ensure efficient resource utilization and high availability. Security: Implement security best practices to protect virtualized environments from threats and vulnerabilities. Technical Support: Provide technical support and guidance to clients, addressing their VMware-related concerns and inquiries. Experience in Microsoft Windows Server Administration DC, DNS, DHCP, DFS, WSUS, Group Policy Management etc. NSX-v operational familiarity and all concepts Deployment of NSX-v environments Knowledge of basic network concepts e.g., IP, TCP, DNS, switches, routers etc Concepts of load balancers and their function and features Capacity Planning: Assess and plan for future capacity requirements, recommending hardware and software upgrades as needed. Should have knowledge of ITIL Process. Preferred Skills/Knowledge Good understanding of NSX-T DataCenter Logical Switching, Routing, Bridging, Security, Services, Monitoring and Federations. Good understanding of TCP/IP services and network security and working experience with firewalls Working experience of enterprise switching and routing. Prior experience in banking domain with exposure to compliance requirement for various standards like PCI - DSS. 4 Desired Certifications VMware VCP-NV certification 5 Soft Skills 1. Must be ready to learn new technologies and acquire new skills. Must be a Team Player 3 Should be good in Verbal and Written Communication. Show more Show less

Total - 3 to 5 Yrs of Experience Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Show more Show less