You are passionate about driving SRE / DevSecOps mindset and culture in a fast-paced, challenging environment where you get the opportunity to work with a spectrum of latest tools and technologies to drive forward Automation, Observability and CI/CD automation You are actively looking to improve implemented solutions, understand the efficacy of collaboration, work with cross functional teams to build and improve CI/CD pipeline and improve automation (reduce Toil). As a member of this team, you possess the ability to inspire and leverage your experience to inject new knowledge and skills into an already high performing team. Help Identifying areas of improvement, especially when it comes to Observability, Proactiveness, Automation & Toil Management. Strategic approach with clear objectives to improve System Availability, Performance Optimization, and improve Incident MTBuild and maintain Reliable Engineering Systems using SRE and DevSecOps models with special focus on Event Management (monitoring/alerts), Self Healing and Reliability testing Strong programming skills with experience in API and Webhook development using Dynatrace, GitHub workflows, Ansible, CDK, Type/Java script, Python, Node.js, Ruby, PowerShell, and Shell Scripting languages. Strong understanding of Cloud computing (AWS) Strong understanding of SDLC and DevSecOps Experience in CI/CD pipeline tools such as JIRA, GitHub, Bitbucket, Artifactory, Ansible, or equivalent Working knowledge of Lambda, Glue and CDK Knowledge of cloud services: Application integration, functions, Cloud Databases, data warehouse and analytics, Machine Learning, Developer Tools, Security and identity management Knowledge of software development practices, concepts, and technology obtained through formal training and/or work experience. Knowledge of required programming languages and can code with minimum guidance. Understand functional aspects and technical behavior of the underlying operating system, development environment, and deployment practices.

Design and develop conceptual, logical, and physical data models for enterprise and application-level databases. Translate business requirements into well-structured data models that support analytics, reporting, and operational systems. Define and maintain data standards, naming conventions, and metadata for consistency across systems. Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes. Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements. Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships. Support data governance initiatives including data lineage, quality, and cataloging. Review and validate data models with business and technical stakeholders. Provide guidance on normalization, denormalization, and performance tuning of database designs. Ensure models comply with organizational data policies, security, and regulatory requirements.

Job Title: AWS Python Developer Key Responsibilities As an AWS Python Developer, you will: Data Engineering: Utilize Python and PySpark to perform various data engineering tasks, contributing to the development and maintenance of data pipelines. Big Data Solutions: Apply strong knowledge of Big Data technologies and data warehousing concepts to design and implement robust data solutions on AWS. AWS Services Implementation: Work hands-on with the AWS Data Engineering stack, including S3, RDS, Athena, Glue, Lambda, and Step Functions, for building and managing data workflows. Data Manipulation: Leverage strong SQL skills for effective data manipulation and querying across different data stores. CI/CD Integration: Work with CI/CD tools like Terraform and Git Actions to automate deployment processes and ensure continuous integration. Collaboration: Collaborate effectively within a multicultural team, demonstrating good communication skills. Mandatory Skills & Experience Technical Proficiency: AWS Experience: At least 5 years of experience in AWS-based projects . Python & PySpark: Proficiency in Python and PySpark for data engineering tasks. Big Data: Strong knowledge of Big Data technologies and data warehousing concepts . AWS Data Engineering Stack: Experience with AWS services including S3, RDS, Athena, Glue, Lambda, and Step Functions . SQL: Strong SQL skills for data manipulation and querying. CI/CD: Experience with CI/CD tools like Terraform and Git Actions . Experience & Qualifications: Proven experience in developing and implementing data solutions on the AWS platform. Essential Professional Skills Good communication skills . Ability to work effectively in a multicultural team .

Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience Minimum 3 years of Product experience in nCino Loan Origination System. Working experience in implementing nCino Loan Origination System Technical Skills Salesforce APEX Development nCino Configuration experience nCino Admin experience nCino/Salesforce Integration Development experience nCino Workflow Development/Maintenance nCino Implementation experience nCino Data Migration experience Design Principles Cloud Security Experience Cloud DevOps experience nCino Certification Salesforce Certification AWS Certification Good understanding of Banking domain and terminologies used Functional experience in Commercial Loan Origination nCino Admin experience - Functional impact understanding Module expertise gained over years Multiple module handling knowledge Understanding Client specific requirements Close coordination with Business stakeholders Multiple module handling knowledge Experience on the complete product lifecycle Understanding of Dependent systems Soft Skills Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience. Self motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.

Job Title: RPA UiPath Developer Key Responsibilities As an RPA UiPath Developer, you will: Solution Design & Development: Analyze client needs to develop robust RPA solutions. Design and develop RPA solutions in accordance with standard design principles and conventions. UiPath Implementation: Design, build, and implement RPA systems using the UiPath platform . Automation Configuration: Develop and configure automation processes as per defined requirements. Blue Prism (if applicable): Configure new Blue Prism processes and objects using core workflow principles that are efficient, well-structured, maintainable, and easy to understand. Integration & Collaboration: Collaborate with other team members to ensure that RPA solutions are well-integrated into business processes. Troubleshooting & Support: Problem-solve issues that arise in the day-to-day running of RPA processes (including Blue Prism processes if applicable), providing timely responses and solutions. Project Management Support: Work within project planning constraints, communicate any identified project risks and issues to the delivery/project manager, and provide inputs to the change control process. Testing & Documentation: Create and document test procedures and scenarios for pre-UAT phases. Support Operational Teams during the UAT and rollout phases. Mandatory Skills & Experience Technical Proficiency: UiPath: Strong hands-on experience in designing, building, and implementing RPA systems using the UiPath platform . RPA Design Principles: Proven ability to design and develop RPA solutions in accordance with standard design principles and conventions. Automation Configuration: Experience in developing and configuring automation processes based on defined requirements. Blue Prism (if applicable): Experience in configuring Blue Prism processes and objects (mention if this is a primary focus or secondary). Experience & Qualifications: Demonstrated ability to analyze client needs and translate them into RPA solutions. Experience in creating and documenting test procedures and scenarios for pre-UAT phases. Experience in supporting UAT and rollout phases. Proven problem-solving skills for RPA process issues. Essential Professional Skills Collaboration: Ability to collaborate effectively with other team members to ensure solution integration. Problem Solving: Strong problem-solving skills for addressing issues in daily RPA operations. Communication: Ability to communicate project risks and issues clearly to management.

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). c (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of big data technologies (e.g., Hadoop, Spark).

Job Title: Senior Architect (Transfer Agency & Process) Key Responsibilities As a Senior Architect (Transfer Agency & Process), you will: Solution Architecture & Design: Leverage deep domain knowledge of transfer agency functions to design and build executable business processes and API flows, aiming to create exceptional customer experiences. Requirements Translation: Understand complex customer requirements and translate them into actionable, workable technical solutions and architectural designs. Process Optimization: Drive problem-solving initiatives to enhance existing business processes and optimize new solution implementations within the Transfer Agency domain. Domain Expertise Application: Apply good working knowledge of Equities, Bonds, and Mutual Funds to ensure solutions are functionally robust and industry-aligned. Technical Integration: Design and define API flows and processes, ensuring seamless integration of new solutions within the existing technical landscape. Stakeholder Management: Manage relationships with various stakeholders, ensuring clear communication and alignment on project goals and deliverables. Project Execution & Follow-through: Demonstrate a detail-oriented approach with a strong ability to self-motivate and follow through on projects, even under pressure. Team Collaboration: Collaborate effectively with development teams, ensuring technical solutions accurately reflect business needs. Mandatory Skills & Experience Domain & Technical Proficiency: Transfer Agency Expertise: Deep domain knowledge of transfer agency functions and expertise in creating a wow customer experience . Financial Products: Good working knowledge of Equities, Bonds, and Mutual Funds . Process Design: Adept at problem-solving and building executable business processes . API & Process Design: Tech-savvy with good working knowledge of building API flows and processes . Experience & Qualifications: 10+ Years of experience in a relevant senior role, such as a Business Analyst, focusing on problem-solving and process architecture. University Degree or equivalent in Computer Science, Engineering, Commerce, Business Administration, Finance, or similar. Essential Professional Skills Communication: Good communication skills for effective stakeholder interaction and team collaboration. Team & Stakeholder Management: Proven skills in team management and stakeholder management . Analytical & Problem Solving: Strong ability to understand customer requirements and translate them into workable solutions. Detail-Oriented & Independent: A proven track record of being detail-oriented with a demonstrated ability to self-motivate and follow through on projects . Pressure Management: Able to work independently and work under pressure . Certifications (Advantage): Holder of professional certifications such as PMP, Six Sigma will be an advantage.

Job Title: Business Analyst - Trade Finance Key Responsibilities As a Business Analyst - Trade Finance, you will: Domain Expertise: Apply deep subject matter expertise in banking domain, with a strong focus on Trade Finance and Services , Payments, and Billing (preferred). Requirements Management: Utilize hands-on knowledge of Jira for creating EPICS, user stories, and dashboards to manage project requirements effectively. Data Analysis: Perform hands-on SQL writing and data analysis to support business understanding and solution design. Problem Solving: Employ complex analytical, interpretive, and problem-solving techniques to address business challenges. Project Facilitation: Manage multiple tasks and facilitate projects to meet deadlines, ensuring timely delivery. Stakeholder Management: Consistently demonstrate strong interpersonal skills with the ability to partner and influence across organizational lines, including technical and non-technical persons. Communication & Documentation: Maintain clear and concise written and verbal communication. Write clear technical and end-user documents. Leadership & Collaboration: Exhibit demonstrated leadership skills and the ability to work collaboratively to maintain positive relationships with colleagues, internal and external customers. Adaptability: Remain flexible, learn quickly, and adapt to changing roles with the varying priorities of the organization. Mandatory Skills & Experience Domain & Technical Proficiency: Relevant Experience: 14-16 years of relevant experience as a Business Analyst. Trade Finance Domain: Subject matter expertise on banking domain Trade Finance and Services . Experience with Payments and Billing is an added advantage. SQL & Data Analysis: Hands-on experience with SQL writing and data analysis . Jira Proficiency: Hands-on knowledge of Jira around creating EPICS, user stories, and dashboards. Experience & Qualifications: Proven ability in using complex analytical, interpretive, and problem-solving techniques. Demonstrated ability to manage multiple tasks and facilitate projects to meet deadlines. Essential Professional Skills Leadership: Demonstrated leadership skills . Communication: Consistently demonstrate clear and concise written and verbal communication . Interpersonal & Influence: Proven interpersonal skills with the ability to partner and influence across organizational lines. Adaptability & Learning: Flexible, learns quickly, and adapts to changing roles with the varying priorities of the organization. Collaboration: Ability to work collaboratively and maintain positive relationships with colleagues, internal and external customers. Documentation: Ability to write clear technical and end-user documents.

Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy. Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP. Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements. Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes. Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline. Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem. Education and Experience Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform. Technical Skills PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques. Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase. Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala). Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools. Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks. Scripting and Automation: Strong scripting skills in Linux.

Key Responsibilities: Instrument Angular frontend and Java backend applications with GIL for effective logging and analytics. Design and implement client-side and server-side tracking mechanisms to capture key user and system activities. Aggregate, store, and process instrumentation data efficiently for reporting and analytics. Develop dashboards to summarize usage metrics, engagement patterns, and system health using modern visualization frameworks/tools. Create tracking for usage of different data sources (e.g., APIs, databases) and present metrics to business and technical stakeholders. Collaborate closely with product managers, UX designers, backend engineers, and data engineers to identify meaningful metrics and optimize tracking strategies. Required Skills and Experience: Frontend: Strong experience with Angular & TypeScript Backend: Solid experience with Java (Spring Boot preferred), REST APIs. Familiar with SQL and basic dashboarding to generate report Experience with instrumentation approaches. Understanding of data ingestion pipelines, event tracking, and aggregation techniques. Strong problem-solving skills and ability to work independently and collaboratively. Excellent verbal and written communication skills

Work with business partners within one or more business unit to align technology solutions with business strategies. Demonstrate an in depth knowledge of a business area in the context of the business clients unit to identify and communicate how IT solutions can strategically assist and support. Supports one or more highly complex business processes, requiring design or integration of technical solutions that may cross multiple functions of the business. Serve as a project team member or team lead. Responsible for coordinating the collection, analysis and documentation of future business requirements. Align IT resources and processes to meet the client organization needs, as well as the design of enterprise solutions. Knowledge working with ServiceNow custom applications and testing Experience with Service Operations Workspace, Major Incident, Change Management, etc Integration testing against best practice standards Experience with ServiceNow Mobile offerings Service Catalog modernization experience migration to Service Portal Knowledge of ServiceNow test management Automated testing experience Automate Pro

Responsible for developing and creating BI and data analysis content to support decision-making and performance optimization. Ensure accurate reporting to stakeholders, improving transparency and data-driven insights. Hold a bachelor's degree in Computer Science, IT, or a related field as a minimum requirement. Expertise in Azure Data Analytics, including Power BI and MS Fabric for data visualization and insights. Experience with Databricks for data processing, transformation, and analytics. Proficiency in Azure DevOps for managing data workflows, automation, and collaboration. Knowledge of Confluence for documentation, project tracking, and team collaboration. Strong analytical and problem-solving skills to ensure effective data interpretation and recommendations. Ability to design, implement, and optimize BI solutions for business intelligence and reporting needs. Collaborate with cross-functional teams to ensure seamless integration of data analytics solutions into business operations.

Experience with Django REST Framework (DRF). Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with Docker and containerization Experience with automated testing frameworks Familiarity with CI/CD tools and pipelines. Assist in developing, testing, and maintaining web applications using Django and Python that are deployed on AWS cloud platform. Take KT from application team on the code and understand BMO coding standards Work on Application vulnerability fixes based on Vulnerability report from BMO team Work with RESTful APIs and integrate third-party services. Develop and manage database models, migrations, and queries using Django ORM. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Write clean, efficient, and reusable code. Participate in code reviews and follow best practices for software development. Troubleshoot, debug, and optimize applications for performance and security. Write unit and integration tests to ensure code reliability. Contribute to deployment processes and continuous integration pipelines. Stay updated with the latest trends and best practices in Django and web development. Responsibility: Assist in developing, testing, and maintaining web applications using Django and Python that are deployed on AWS cloud platform. Take KT from application team on the code and understand BMO coding standards Work on Application vulnerability fixes based on Vulnerability report from BMO team.

Key Responsibilities Design and implement the user interface of the Internal Developer Portal Create reusable component libraries and design systems Develop custom dashboards and visualization components Implement responsive accessible and performant user interfaces Work on UI UX improvements based on user feedback Required Skills 5 years of experience with React and TypeScript Strong understanding of modern frontend development practices Expert knowledge of state management Redux Context API React Query Proficiency with CSS styled components or similar styling solutions Experience with data visualization libraries D3 js React Force Graph Knowledge of UI UX design principles and accessibility standards Experience with component testing and frontend performance optimization Experience with Grafana dashboard development and embedding Knowledge of WebGL or Canvas based visualizations Experience with design systems and component libraries Desired Skills Experience with workflow visualization and monitoring Experience with animation and interactive visualization Knowledge of Web Assembly for high performance visualizations Understanding of design thinking methodologies

Job Title: Pega CDH Architect / Lead Experience Level 10-14 years of experience in Pega; 8-10 years of experience in Pega CDH Key Responsibilities As a Pega CDH Architect / Lead, you will: CDH Subject Matter Expertise: Act as a CDH Subject Matter Expert (SME) from a Pega Platform perspective, particularly within the banking and financial services domains. Hyper-Personalization Delivery: Lead the delivery of hyper-personalized solutions using Next-Best-Action (NBA) strategies across inbound and outbound channels in both batch and real-time modes. Decisioning Logic Design: Translate complex business requirements into robust decisioning logic, including NBA strategies, engagement policies, and offer flows. Design and configure core decisioning logic using Pega CDH, including rules, propositions, treatments, and decision data flows. Pega CDH Component Leadership: Lead the development and configuration of Adaptive Decision Manager (ADM), Interaction History, Decision Strategy Management, and other Pega CDH components. Integration & Architecture: Ensure seamless integration of decisioning frameworks with enterprise systems like CRM and data lakes. Design and implement REST API, Kafka, and FTP-based integrations. Quality Assurance & Optimization: Conduct peer reviews and manage quality assurance processes for decisioning logic. Collaborate with data scientists to analyze customer interactions and optimize adaptive models. Agile Delivery & Support: Manage the end-to-end delivery of Pega CDH solutions in Agile environments. Create post-implementation support documentation and resolve production defects. Governance & Mentorship: Implement governance standards for architecture, data privacy, and security compliance. Mentor and lead a team of Pega NBA Designers or developers. Task Coordination: Coordinate tasks such as proposition builds, customer data flow updates, and interaction updates. Performance Monitoring: Monitor application performance to ensure scalability and efficiency. Business Alignment: Design solutions in alignment with clients business objectives. Mandatory Skills & Experience Technical Proficiency: Pega CDH Expertise: 8-10 years of hands-on experience in Pega CDH , specifically Pega CDH 8.X or higher versions , and the NBAD framework . Pega Components: Hands-on experience with Pega CDH components like ADM, DSM, Value Finder, Customer Profiler , etc. Decisioning Logic: Proven track record of delivering hyper-personalized solutions using NBA strategies across inbound and outbound channels (batch and real-time). Programming & Databases: Proficiency in SQL, JSON , real-time decisioning, and object-oriented programming principles. Integration Technologies: Experience designing and implementing REST API, Kafka, and FTP-based integrations . Application Understanding: Good understanding and experience in Client Server applications, Digital applications, and Business Functions. Certifications: Pega CSSA Certification Pega Decisioning Consultant Certification Experience & Qualifications: 10-14 years of overall experience in Pega . Demonstrated ability to translate business requirements into decisioning logic. Experience managing end-to-end delivery of Pega CDH solutions in Agile environments. Experience in a CDH SME role, preferably in banking and financial services. Essential Professional Skills Leadership & Mentorship: Ability to provide thought leadership and technical guidance to teams, and mentor Pega NBA Designers/developers. Analytical Skills: Strong analytical skills with the ability to summarize data into actionable insights. Communication Skills: Excellent communication skills to interact with both technical and non-technical stakeholders. Problem-Solving: Ability to resolve production defects and optimize adaptive models.

Define and drive the overall architecture and technical strategy across full-stack applications. Architect scalable and secure microservices-based systems using Spring Boot and Java. Design and guide development of responsive, user-friendly UIs using React.js and related technologies. Provide technical leadership across backend and frontend development teams. Collaborate with stakeholders to align technical solutions with business goals. Establish coding standards, architectural patterns, and best practices across the engineering organization. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related discipline. 10+ years of hands-on software development experience. 3+ years of experience in a solution or software architect role. Strong expertise in Java, Spring Boot, and RESTful microservices. Solid front-end development skills using React Experience designing and deploying applications in cloud environment - Azure Familiarity with containerization (Docker) and orchestration (Kubernetes). Deep understanding of software architecture principles including domain-driven design, event-driven architecture, and API gateway patterns. Proven ability to design systems with high availability, resilience, and scalability. Excellent leadership, communication, and interpersonal skills. Preferred Qualifications: Experience with CI/CD pipelines, DevOps, and infrastructure as code (Terraform, CloudFormation). Exposure to GraphQL, gRPC, or messaging systems like Kafka/RabbitMQ. Strong understanding of data security, GDPR, and compliance standards. Experience working in Agile/Scrum environments. Define and drive the overall architecture and technical strategy across full-stack applications. Architect scalable and secure microservices-based systems using Spring Boot and Java. Design and guide development of responsive, user-friendly UIs using React.js and related technologies. Mandatory Skills Microservices Spring Boot React

SDET Data Test Automation Engineer We are seeking a highly skilled SDET Data Test Automation Engineer with API and UI testing experience to join our dynamic team. The primary focus of this role is to ensure the integrity of data transformations on our data platform, which works with large datasets, and to enhance our testing capabilities with UI and API automation. The candidate will work closely with development and product teams to deliver robust, scalable and high-performing data test tools. Design, develop and maintain automated test scripts for data validation, transformation, API and UI testing Conduct data testing using Python frameworks like Pandas, PySpark, Pytest UI & API test automation using Playwright and Requests Collaborate with development and product teams to identify test requirements and strategies Analyze test results, identify issues and work on resolutions Ensure that automated tests are integrated into the CI/CD pipeline Validate large datasets to ensure data integrity and performance Work on data transformation processes, including validating rule-based column replacements and exception handling Required Skills: Strong programming skills in Python Proficiency in data manipulation and testing libraries like Pandas, PySpark, Pytest Hands-on experience with AWS services like S3, Lambda Familiarity with SQL for data transformation tasks Strong experience with API and UI test automation tools and libraries Excellent problem-solving and analytical skills Strong communication and teamwork abilities Preferred Skills: Good to have experience with databases like Trino, Iceberg, Snowflake and Postgres Good to have experience on Polars, Fugue Familiarity with CI/CD pipelines and tools like Jenkins, Docker, Kubernetes Experience with cloud tools like Kubernetes, EKS, AWS Glue, ECS Qualification We are seeking a highly skilled SDET Data Test Automation Engineer with API and UI testing experience to join our dynamic team. The primary focus of this role is to ensure the integrity of data transformations on our data platform, which works with large datasets, and to enhance our testing capabilities with UI and API automation. The candidate will work closely with development and product teams to deliver robust, scalable and high-performing data test tools. Design, develop and maintain automated test scripts for data validation, transformation, API and UI testing Conduct data testing using Python frameworks like Pandas, PySpark, Pytest UI & API test automation using Playwright and Requests Collaborate with development and product teams to identify test requirements and strategies Analyze test results, identify issues and work on resolutions Ensure that automated tests are integrated into the CI/CD pipeline Validate large datasets to ensure data integrity and performance Work on data transformation processes, including validating rule-based column replacements and exception handling Required Skills: Strong programming skills in Python Proficiency in data manipulation and testing libraries like Pandas, PySpark, Pytest Hands-on experience with AWS services like S3, Lambda Familiarity with SQL for data transformation tasks Strong experience with API and UI test automation tools and libraries Excellent problem-solving and analytical skills Strong communication and teamwork abilities Preferred Skills: Good to have experience with databases like Trino, Iceberg, Snowflake and Postgres Good to have experience on Polars, Fugue Familiarity with CI/CD pipelines and tools like Jenkins, Docker, Kubernetes Experience with cloud tools like Kubernetes, EKS, AWS Glue, ECS

Primary Skills DevOps and infrastructure engineering CI/CD tools AWS networking services, storage services, certificate management, secrets management, and database setup (RDS) Terraform/Cloud Formation/AWS CDK Python and Bash Secondary Skills Expertise in AWS CDK and CDK Pipelines for IaC. Understanding of logging and monitoring services like AWS CloudTrail, CloudWatch, GuardDuty, and other AWS security services Communication and collaboration skills to work effectively in a team-oriented environment. Design, implement, and maintain cloud infrastructure using AWS Cloud Development Kit (CDK) Develop and evolve Infrastructure as Code (IaC) to ensure efficient provisioning and management of AWS resources. Develop and automate Continuous Integration/Continuous Deployment (CI/CD) pipelines for infrastructure provisioning and application deployment. Configure and manage various AWS services, including but not limited to EC2, VPC, Security Group, NACL, S3, CloudFormation, CloudWatch, AWS Cognito, IAM, Transit Gateway, ELB, CloudFront, Route53, and more. Collaborate with development and operations teams, bridging the gap between infrastructure and application development. Monitor and troubleshoot infrastructure performance issues, ensuring high availability and reliability. Implement proactive measures to optimize resource utilization and identify potential bottlenecks. Implement security best practices, including data encryption and adherence to security protocols. Ensure compliance with industry standards and regulations. Must Have 5+ years of hands-on experience in DevOps and infrastructure engineering Solid understanding of AWS services and technologies, including EC2, VPC, S3, Lambda, Route53, and CloudWatch Experience with CI/CD tools, DevOps implementation and HA/DR setup In-depth experience with AWS networking services, storage services, certificate management, secrets management, and database setup (RDS) Proven expertise in Terraform/Cloud Formation/AWS CDK Strong scripting and programming skills, with proficiency in languages such as Python and Bash Nice to have Proven expertise in AWS CDK and CDK Pipelines for IaC. Familiarity or understanding of logging and monitoring services like AWS CloudTrail, CloudWatch, GuardDuty, and other AWS security services. Excellent communication and collaboration skills to work effectively in a team-oriented environment.

JD Design, implement, and maintain cloud infrastructure using AWS Cloud Development Kit (CDK) Develop and evolve Infrastructure as Code (IaC) to ensure efficient provisioning and management of AWS resources. Develop and automate Continuous Integration/Continuous Deployment (CI/CD) pipelines for infrastructure provisioning and application deployment. Configure and manage various AWS services, including but not limited to EC2, VPC, Security Group, NACL, S3, CloudFormation, CloudWatch, AWS Cognito, IAM, Transit Gateway, ELB, CloudFront, Route53, and more. Collaborate with development and operations teams, bridging the gap between infrastructure and application development. Monitor and troubleshoot infrastructure performance issues, ensuring high availability and reliability. Implement proactive measures to optimize resource utilization and identify potential bottlenecks. Implement security best practices, including data encryption and adherence to security protocols. Ensure compliance with industry standards and regulations. Must Have 5+ years of hands-on experience in DevOps and infrastructure engineering Solid understanding of AWS services and technologies, including EC2, VPC, S3, Lambda, Route53, and CloudWatch Experience with CI/CD tools, DevOps implementation and HA/DR setup In-depth experience with AWS networking services, storage services, certificate management, secrets management, and database setup (RDS) Proven expertise in Terraform/Cloud Formation/AWS CDK Strong scripting and programming skills, with proficiency in languages such as Python and Bash Nice to have Proven expertise in AWS CDK and CDK Pipelines for IaC. Familiarity or understanding of logging and monitoring services like AWS CloudTrail, CloudWatch, GuardDuty, and other AWS security services. Excellent communication and collaboration skills to work effectively in a team-oriented environment.

Job Title: Gen AI Integration Developer Key Responsibilities As a Gen AI Integration Developer, you will: Gen AI Orchestration & Integration: Implement and integrate Generative AI solutions. This includes extensive experience in data analytics or a senior developer role with a modern technology stack. LLM Integration: Gain hands-on exposure to integrating at least one popular Large Language Model (LLM) such as OpenAI GPT, PaLM 2, Dolly, Claude 2, or Cohere, using API endpoints. Prompt Engineering & Agents: Apply a thorough understanding of prompt engineering principles and implement LLM agents like LangChain. Vector Databases: Work with vector databases such as Pinecone, Chroma, or FAISS. API Development: Build API-based scalable solutions and possess strong debugging and troubleshooting skills for software and design issues. Data Engineering: Perform basic data engineering tasks, including loading structured and unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support AI Solutions. Experimentation & Analysis: Quickly conduct experiments and analyze the features and capabilities of newer versions of LLM models as they become available. Collaboration: Work closely with Gen AI leads and other team members to address requirements from the product backlog. Mandatory Skills & Experience Technical Proficiency: Programming Languages: Excellent programming skills and proficiency in at least one major programming/scripting language used in Gen AI orchestration, such as Python, PySpark, or Java . LLM Integration: Hands-on exposure to integrating at least one of the popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints. Prompt Engineering: Thorough understanding of prompt engineering . LLM Agents: Implementation exposure to LLM agents like LangChain . Vector Databases: Experience with vector databases such as Pinecone, Chroma, or FAISS. API Development: Ability to build API-based scalable solutions . Debugging & Troubleshooting: Strong ability to debug and troubleshoot software or design issues. Basic Data Engineering: Skills to load structured & unstructured data from source systems to target data stores. Experience & Qualifications: Extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stacks. Ability to quickly conduct experiments and analyze new LLM features. Experience in building and maintaining data pipelines and infrastructure for AI solutions. Essential Professional Skills Desirable: Hands-on exposure to using cloud services (Azure/GCP/AWS) for storage, serverless-logic, search, transcription, and chat. Extensive experience with data engineering and ETL tools is a big plus. Master's/Bachelor's degree in Computer Science, Statistics, or Mathematics.