IDMC Developer
Responsibilities
Design, develop, and implement data integration pipelines using IDMC
Work with Cloud Data Integration (CDI) for ETL/ELT workflows
Develop and maintain mappings, mappings tasks, and taskflows
Integrate data from various sources including databases, cloud platforms, flat files, and APIs
Implement data transformation, cleansing, and validation rules
Work with Data Quality (CDQ) components for profiling and standardization
Optimize jobs for performance, scalability, and reliability
Monitor and troubleshoot data pipelines and workflows
Ensure adherence to data governance, security, and compliance standards
Collaborate with architects, analysts, and business stakeholders
Support migration from PowerCenter or legacy ETL tools to IDMC
Additional Responsibilities
Experience with Application Integration (CAI) in IDMC
Exposure to API integrations (REST/SOAP)
Knowledge of Master Data Management (MDM) concepts
Familiarity with CI/CD pipelines and version control tools (Git, Jenkins)
Experience with big data/cloud data platforms (Snowflake, BigQuery, Redshift)
Basic scripting knowledge (Python, Shell scripting)
Experience with data governance and lineage tools
Bachelor’s degree in Computer Science, IT, or a related field
Informatica certifications (IDMC / IICS / CDI / CDQ) are a plus
Technical and Professional Requirements
Strong experience with Informatica Data Management Cloud (IDMC)
Hands-on expertise in:
Cloud Data Integration (CDI)
Data Quality (CDQ)
Strong understanding of ETL/ELT concepts and data integration techniques
Proficiency in SQL and relational databases (Oracle, SQL Server, MySQL, etc.)
Experience with mappings, taskflows, parameters, and reusable objects
Knowledge of data validation, profiling, and cleansing techniques
Familiarity with cloud environments (AWS / Azure / GCP)
Understanding of data warehousing concepts (star and snowflake schemas)
Experience in error handling, logging, and performance tuning
Preferred Skills
- Informatica
Educational Requirements
Bachelor of Engineering
PLAYWRIGHT TESTING – JL5
Responsibilities
1. Lead end-to-end quality engineering for REST APIs, from requirements analysis to production validation for 5–9 years’ scale projects.
Design, implement, and maintain robust API test strategies covering functional, integration, contract, regression, and negative testing.
Drive API test automation frameworks and suites, ensuring high coverage, reliability, and maintainability across services and microservices.
Collaborate with architects and developers to review API specifications (e.g., Swagger/OpenAPI), ensuring testability, consistency, and adherence to standards.
Define and enforce best practices for API testing, automation, and quality gates within CI/CD pipelines.
Analyze complex defects and production issues, perform root cause analysis, and work with cross-functional teams to implement long-term fixes.
Mentor and guide junior QA/automation engineers on API testing techniques, tools, and automation patterns.
Establish and track quality metrics (defect trends, coverage, stability, performance signals) to continuously improve product quality and team processes.
Partner with product and business stakeholders to understand requirements, clarify acceptance criteria, and ensure test scenarios reflect real-world usage.
Ensure proper test data management and environment readiness for API testing across different stages (dev, QA, staging, UAT).
Additional Responsibilities
Preferred Qualifications:
1. Extensive experience in API test automation, including building and maintaining automation suites for REST APIs.
Demonstrated ability to define test strategies, test plans, and quality processes for complex, distributed systems.
Experience integrating automated API tests into CI/CD pipelines and working in Agile/Scrum environments.
Strong background in overall Testing practices, including test design techniques, risk-based testing, and regression optimization.
Proven track record of leading small to medium QA/automation teams, providing technical guidance and code reviews for test assets.
Experience collaborating with cross-functional stakeholders to prioritize defects, manage releases, and ensure smooth production rollouts.
Ability to analyze logs, traces, and API responses to quickly diagnose issues and support root cause analysis.
Exposure to performance, reliability, or security validation of APIs, working alongside specialized teams where needed.
Technical and Professional Requirements
1. Bachelor of Engineering (or equivalent) in Computer Science, Information Technology, or a related field.
5–9 years of hands-on experience in REST API and API Testing in enterprise or product-based environments.
Strong expertise in designing and executing API test cases, including functional, integration, and regression testing for RESTful services.
Proven experience in leading or owning quality for API-centric projects, working closely with development and product teams.
Solid understanding of HTTP, REST principles, request/response structures, status codes, and common authentication mechanisms
API design review, Contract testing, Performance testing, CI/CD integration, Agile methodologies – Good to have skills
Preferred Skills
- CD/CI
- RestAssured
- Playwright Javascript
- Playwright Typescript
Educational Requirements
Bachelor of Engineering
Senior Technologist-Data Engineering-Q2 FY 26
Responsibilities
Power Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies.,
- They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots.,
- They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to End contribution to technology oriented development projects.,
- Providing solutions with minimum system requirements and in Agile Mode.,
- Collaborate with Power Programmers.,
- Open Source community and Tech User group.,
- Custom Development of new Platforms & Solutions ,Opportunities.,
- Work on Large Scale Digital Platforms and marketplaces.,
- Work on Complex Engineering Projects using cloud native architecture .,
- Work with innovative Fortune 500 companies in cutting edge technologies.,
- Co create and develop New Products and Platforms for our clients.,
- Contribute to Open Source and continuously upskill in latest technology areas.,
- Incubating tech user group
Technical and Professional Requirements
Bigdata Spark, scala, hive, kafka
Preferred Skills
- Big Table
- Scala
- Spark Sreaming
- Hadoop Ecosystem
- PySpark
- PYTHON
Educational Requirements
Bachelor of Engineering
Abinitio Admin
Responsibilities
Install, configure, administer, and maintain Ab Initio environments across Development, QA, UAT, and Production.
Manage and support Ab Initio components including:
Co Operating System (Co Op)
Enterprise Meta Environment (EME)
Conduct It
Graphical Development Environment (GDE)
Continuous Flows
Perform software upgrades, patch management, environment migrations, and platform health checks.
Manage user administration, security configurations, and access controls.
Ensure high availability and reliability of the Ab Initio platform.
Monitor critical ETL workflows and batch processes.
Troubleshoot performance bottlenecks, job failures, and environment-related issues.
Perform root cause analysis (RCA) and implement preventive measures.
Support 24×7 production environments and handle critical incidents.
Coordinate with infrastructure, database, and application support teams.
Provide support for Ab Initio graph design, deployment, and troubleshooting.
Review and optimize ETL jobs for performance and scalability.
Assist development teams in resolving graph, metadata, and execution issues.
Analyze complex ETL workflows and recommend best practices.
Support code migration and release activities across environments.
Additional Responsibilities
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity; sexual orientation, religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Technical and Professional Requirements
5–9 years of experience in Ab Initio Administration.
Strong knowledge of:
Co>Operating System
EME
Conduct>It
GDE
Continuous Flows
Good understanding of Ab Initio development concepts and graph architecture.
Experience in environment management, code deployments, and release support.
Strong Linux/Unix administration skills.
Expertise in Shell Scripting and automation.
Working knowledge of Python scripting.
Strong SQL and database troubleshooting skills.
Experience with production support and incident management.
Experience with Autosys, Control-M, or enterprise scheduling tools.
Exposure to CI/CD pipelines and DevOps tools such as Jenkins, Git, and Ansible.
Knowledge of cloud platforms (AWS, Azure, GCP).
Understanding of Data Warehousing and ETL best practices.
Familiarity with Hadoop, Spark, or Big Data ecosystems.
Experience with Agile and ITIL processes.
Preferred Skills
- Ab Initio Administration
Educational Requirements
Bachelor of Engineering
Python Senior Developer
Responsibilities
- Lead design and development of Python applications
- Define coding standards and best practices
- Review and optimize application performance
- Handle complex business logic and integrations
- Mentor junior and mid-level developers
- Collaborate with stakeholders and technical teams
- Support release planning and production stability
Additional Responsibilities
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent
Technical and Professional Requirements
- Expert-level Python development experience
- Strong understanding of application architecture
- Experience leading development teams and projects
Preferred Skills
- PYTHON
Educational Requirements
Bachelor of Engineering
Design Partner_Q2 27
Responsibilities
Define and evangelize a clear design vision, strategy, and operating model for a multi‑disciplinary Design Center of Excellence.
Build, scale, and lead a large team of experienced designers, creative professionals, and marketing specialists.
Establish strong foundations in design excellence, quality standards, governance, and delivery rigor aligned to the expectations of a regulated enterprise.
Partner closely with senior leaders to translate business strategy into intuitive, trusted, and impactful experiences across digital platforms and communications.
Integrate Digital Experience Design and Marketing Services to ensure consistency across internal tools and customer‑facing touchpoints.
Set and mature design systems, frameworks, and reusable assets that enable scale and speed without compromising quality.
Preferred Skills
- UI Design
- UX Design Management
Educational Requirements
Bachelor of Design,Bachelor of Engineering
AI/ML Technology Architect – DaAI
Responsibilities
- Architect production-grade multi-agent AI systems using LangGraph, AutoGen, CrewAI, or equivalent orchestration frameworks.
- Design stateful agent workflows
- Define agent capabilities for data discovery, profiling, scoring, enrichment, intelligence extraction, and contextual reasoning across enterprise data estate.
- Build and guide the design of structured data agents that can introspect live databases, infer schema meaning and generate ER-level understanding.
- Design document intelligence pipelines for large-scale extraction from unstructured data like PDFs, Word documents, emails, call transcripts, and semi-structured enterprise content using tools such as Azure Document Intelligence, AWS Textract, LlamaParse, or equivalent technologies.
- Architect vector database and retrieval pipelines, including chunking strategies, embedding model selection, metadata design, hybrid search, retrieval tuning, and domain-specific RAG patterns.
- Define agent evaluation methodology covering accuracy, precision, recall, recall@k, regression testing, drift detection, hallucination checks, and robustness testing for non-deterministic AI outputs.
- Establish AI safety and trust patterns, including semantic guardrails, jailbreak protection, prompt injection, data exfiltration prevention, toxic output mitigation, policy-based response control, and secure tool-use design.
- Architect agent communication and message queuing patterns using RabbitMQ, Apache Kafka, or equivalent messaging platforms for scalable and resilient agent-to-agent/task communication.
Additional Responsibilities
Good to Have
- Experience with knowledge graphs, ontologies, semantic data models, or enterprise metadata models.
- Open-source contributions in the AI/ML, data engineering, or agentic AI ecosystem.
- Experience with MLOps, LLMOps, model monitoring, observability, and production AI governance.
- Exposure to custom model training, fine-tuning, or domain adaptation, though the platform will primarily build on API-based and open-source LLMs.
Technical and Professional Requirements
- Hands-on experience designing and shipping LLM-powered or agentic AI systems in production, not limited to notebooks, PoCs, or isolated demos.
- Demonstrated experience with multi-agent orchestration in production, using frameworks such as LangGraph, AutoGen, CrewAI, LangChain, or equivalent technologies.
- Proven experience building SQL or structured data agents that can connect to live databases, inspect schemas, infer semantic meaning, and generate relationship-level understanding.
- Strong working knowledge of RAG, vector databases, embedding models, chunking strategies, hybrid retrieval, metadata filtering, prompt engineering, and LLM evaluation. Deep knowledge of Pinecone, Milvus, or Qdrant, specifically around hybrid search (sparse + dense), reranking models (Cohere/BGE), and dynamic chunking strategies.
- Experience deploying open-source models (Llama, Gemma) via vLLM or Ollama to optimize throughput and cost.
Preferred Skills
- AWS Core services
- Google Cloud – Architecture
- Databricks
- Microsoft Technologies- ALL
Educational Requirements
Bachelor of Engineering
AI UI/UX Consultant Q2 27
Responsibilities
Key Responsibilities
Mentor designers without direct people management.
Lead high impact initiatives and innovation projects.
Define and evolve design standards and best practices.
Influence culture and design excellence across teams.
Act as a trusted design advisor to partners.
Demonstrate thought leadership within the design community.
Advance design practice through trends and experimentation.
Technical and Professional Requirements
AI-UX consultant-advanced personas & menta models, AI capability mapping, dynamic architecture and dialog flows, generative interface & prompting, simulations & hallucination audits, containment & fallback tracking, agentic function schemas, LLM evaluation datasets.
Preferred Skills
- UI Design
- UX Design Management
Educational Requirements
Bachelor of Design,Bachelor of Engineering
AI Data Architect / Senior Data Engineer – DaAI
Responsibilities
- Design production-grade enterprise connectors and ETL/ELT pipelines for both structured enterprise systems such as ERP, CRM, OSS/BSS, billing, finance, HR, and unstructured sources such as emails, documents, logs, transcripts, and media files.
- Build ingestion and transformation pipelines using Python, SQL, PySpark, Apache Spark, Airflow, dbt, Dagster, Flink, or equivalent technologies.
- Create frameworks for data labelling, contextualization, harmonization, enrichment, and classification workflows to configure AI agents.
- Architect integration with knowledge graphs and vector databases for hybrid search, semantic retrieval, contextual reasoning, and AI-ready data access.
- Build and maintain Ontology/knowledge graph pipelines using Neo4j, RDF/OWL, Apache Jena, Stardog, GraphDB, or equivalent technologies.
- Implement graph validation frameworks such as SHACL or ShEx to programmatically enforce data integrity rules over enterprise knowledge graphs.
- Implement data quality automation using frameworks such as Great Expectations, AWS Glue DataBrew, dbt tests, custom validation pipelines, or equivalent tools.
Additional Responsibilities
- Exposure to telecom, BFSI, manufacturing, or other complex enterprise domains.
- Experience with OSS/BSS, ERP, CRM, billing, order management, product catalog, service inventory, or network inventory systems.
- Experience with RDF triple stores such as Apache Jena, Stardog, GraphDB, Amazon Neptune, or equivalent technologies.
- Experience with data catalogues, metadata management tools, lineage platforms, or governance platforms.
Technical and Professional Requirements
- Strong production experience on modern data platforms such as Databricks, Snowflake, BigQuery, cloud data lakes, lakehouses, or equivalent enterprise data platforms.
- Deep working knowledge of Python, SQL, PySpark, Apache Spark, and modern data pipeline development practices.
- Hands-on experience with both structured and unstructured data ingestion at enterprise scale.
- Strong experience in building pipelines for enterprise sources such as ERP, CRM, OSS/BSS, billing systems, finance systems, ServiceNow, Salesforce, SAP, Oracle, and legacy databases.
- Working knowledge of vector databases such as Pinecone, Weaviate, pgvector, Milvus, Chroma, or equivalent technologies.
- Hands-on knowledge of knowledge graphs, graph data modelling, graph querying, and enterprise graph implementation using Neo4j, Cypher, RDF, OWL, or equivalent technologies.
Preferred Skills
- Databricks Machine Learning
- Data Architecture – Data Management
- Informatica – Data Explorer
- Snowflake
- Microsoft Technologies- ALL
Educational Requirements
Bachelor of Engineering
Platform Architect – Senior Cloud, DevOps Engineer – DaAI
Responsibilities
- Design, build, and operate multi-cloud deployment architecture across AWS, Azure, and GCP.
- Build and maintain infrastructure-as-code using Terraform, OpenTofu, or equivalent IaC frameworks for repeatable multi-cloud deployments.
- Build CI/CD pipelines for application services, data pipelines, AI agents, model artifacts, infrastructure changes, and environment promotions.
- Implement GitOps-based deployment patterns using tools such as Argo CD, Flux, GitHub Actions, GitLab CI/CD, Azure DevOps, or equivalent platforms.
- Design and operate containerized workloads using Docker and Kubernetes, including EKS, AKS, GKE, and customer-managed Kubernetes clusters.
- Support enterprise deployment models, including private VPC, hybrid cloud, on-premise, restricted-network, and air-gapped environments.
Technical and Professional Requirements
- Deep hands-on experience with at least two of the following cloud platforms: AWS, Azure, GCP.
- Strong hands-on experience with Terraform, OpenTofu, or equivalent infrastructure-as-code frameworks.
- Strong experience with CI/CD pipelines, release automation, environment promotion, rollback strategies, and deployment governance.
- Hands-on experience with Docker, Kubernetes, Helm, and container orchestration platforms such as EKS, AKS, GKE, or enterprise Kubernetes distributions.
- Experience authoring or significantly customizing Helm charts, including values management, secrets handling, configuration templating, and upgrade lifecycle management.
Preferred Skills
- Platform Engineering process
- AWS Container services
- Terraform
- Kubernetes
Educational Requirements
Bachelor of Engineering