Top AWS Jobs in Chennai

Develop scalable backend microservices, REST APIs, web applications, and web scraping pipelines using Python and PHP. Build crawlers for dynamic websites, optimize asynchronous and concurrent extraction, and manage PostgreSQL schemas and queries. Troubleshoot production issues, maintain system stability, and collaborate with Product, QA, DevOps, and engineering teams. The role requires expertise in Python scraping libraries, browser automation, PHP CodeIgniter, PostgreSQL, microservices, and RESTful API development. Cloud, DevOps, containerization, Git, observability, and Agile experience are preferred.

Design, execute, and document functional, integration, regression, and load tests for software and data products. Identify automation opportunities, validate ETL/data pipelines and APIs, report defects, and collaborate with PMs and technical leads to improve testing practices and delivery quality.

Build, deploy, and manage end-to-end AI services for traditional and generative AI use cases. Design scalable AI/ML solutions, distributed computing systems, training and deployment pipelines, and advanced algorithms. Analyze and optimize model performance across cloud platforms, GPUs, containers, and serving platforms while collaborating with cross-functional teams to deliver business-focused solutions.

Lead and deliver cybersecurity initiatives, partner with stakeholders to define priorities, analyze and mitigate risks, drive continuous improvement and automation, ensure compliance with security and governance standards, maintain documentation and metrics, and provide subject-matter expertise across global teams.

Design, develop, test, operate and maintain full-stack banking software. Own production-ready code, perform code reviews, ensure scalability, reliability, security and compliance, and support DevOps/CI-CD and modernization efforts.

Designs, develops, tests, operates, and maintains full-stack software products, primarily using Pega Infinity and related frameworks. Responsibilities include creating scalable and reliable technical designs, writing production-ready code, performing code reviews, analyzing failures, improving operational reliability, supporting CI/CD and cloud deployments, and ensuring security and compliance. The role also involves collaboration with product teams, vendors, and customers within an Agile development environment.

Entry-level Database Administrator intern to assist with installation, configuration, monitoring, backup/restore, replication, and basic performance tuning for PostgreSQL, TimescaleDB, and MySQL. Work with senior DBAs on automation, documentation, cloud deployments, and troubleshooting; gain exposure to high-availability and security practices.

Configure, enhance, integrate, test, and support SAP FI S/4HANA financial processes, including general ledger, AP, AR, asset accounting, banking, tax, and financial close. Translate business requirements into scalable SAP solutions and collaborate across finance, technical, and SAP module teams. Use AI copilots and prebuilt AI services for documentation, testing, analysis, validation, troubleshooting, and workflow optimization while maintaining governance, audit controls, data accuracy, and performance standards.

Develop and enhance SAP BRIM FI-CA solutions supporting billing, invoicing, payments, dunning, credit checks, and contract accounting. Analyze requirements, design configurations, test, deploy, and integrate SAP with other systems using APIs and middleware. Apply AI copilots and prebuilt AI services to accelerate specifications, testing, documentation, troubleshooting, validation, and analysis. Collaborate with technical, functional, and business teams while following security, audit, SDLC, and performance standards.

The Director of Engineering will lead multiple engineering teams and define technical strategy for enterprise-scale backend, frontend, and data platforms. Responsibilities include governing Java microservices and React architecture, modernizing cloud infrastructure across AWS, Azure, or GCP, integrating Snowflake and Databricks, establishing security and observability standards, improving DevOps and CI/CD maturity, and driving reliability, delivery quality, and AI-enabled BI evolution. This is a hands-on leadership role requiring strong Java coding skills.

The Software Engineer will develop and maintain generative AI applications, integrating machine learning models and optimizing performance while mentoring junior engineers.

Leads enterprise data platform architecture and Lakehouse implementation using Databricks. Designs scalable ingestion, transformation, governance, security, data sharing, and analytics integrations. Provides hands-on guidance in Python, PySpark, Delta Lake, Unity Catalog, and cloud platforms while leading cross-functional delivery, client engagement, stakeholder enablement, and people development. Drives adoption of advanced Databricks capabilities, performance optimization, compliance controls, and governed data products.

Build, maintain, and optimize scalable batch and real-time data pipelines using PySpark, Spark, and cloud platforms. Develop ETL/ELT processes, data ingestion strategies, data lakes, and Big Data frameworks. Support data platform architecture, governance, security, performance tuning, and deployment across AWS, Azure, or GCP. Collaborate with data scientists, analysts, architects, and engineers to ensure reliable, secure, and accessible data.

Support development and CI/CD processes for product deployment while enhancing system performance, security and operations through automation and infrastructure management.

Design, build, and maintain scalable ETL/ELT data pipelines across GCP/AWS/Azure. Lead cloud migration/modernization, ensure data quality, governance, and observability, collaborate with teams, and optimize cloud performance and costs.

Lead design and delivery of large-scale AI/ML systems, microservices, and data engineering pipelines. Build and deploy LLM-based solutions using modern ML frameworks, cloud-native architectures, CI/CD, and observability while managing stakeholders and enterprise agile delivery in financial services.

Support the reliability, administration, monitoring, and governance of enterprise SaaS and productivity platforms. Responsibilities include incident triage, observability and AIOps tuning, outage communications, access governance, patching, resilience testing, integration troubleshooting, and Power Platform support. Develop PowerShell or Python automation, improve alert quality and remediation workflows, monitor licensing and vendor health, and contribute to documentation and operational standards. Participate in a rotational on-call schedule.

Build and architect high-performance platform services, APIs, shared frameworks, developer tooling, and automated workflows for enterprise-scale software. Lead technical spikes, code reviews, refactoring, performance optimization, system documentation, and architectural alignment. Mentor engineers while improving reliability, scalability, observability, and developer velocity across distributed systems and microservices environments.

Leads enterprise-scale Databricks lakehouse architecture and implementation, including data ingestion, transformation, governance, security, data sharing, performance optimization, and BI integration. Designs scalable ETL/ELT pipelines with Python, PySpark, Delta Lake, and Delta Live Tables. Provides client and cross-functional leadership, establishes Unity Catalog governance, supports advanced Databricks AI capabilities, and guides secure data product delivery across cloud platforms. The role also includes execution ownership, thought leadership, and people development.

The role involves managing ML models, deploying them in production, evaluating technologies, and implementing CI/CD processes while supporting model development and ensuring data security.

Leads enterprise-scale Databricks Lakehouse architecture and implementation, including data ingestion, transformation, governance, security, sharing, and analytics integrations. Designs scalable pipelines with PySpark, Delta Lake, Auto Loader, and Delta Live Tables; implements Unity Catalog, privacy controls, and performance optimization. Provides client and cross-functional leadership across data science, analytics, and platform teams, while guiding adoption of advanced Databricks capabilities and developing technical talent.

Design, develop, and support enterprise data platforms, ETL/ELT pipelines, Oracle databases, data warehouses, and risk and regulatory reporting solutions. Build automation, optimize SQL and data processing, ensure data quality, reconciliation, lineage, governance, and audit readiness. Provide L2/L3 production support, resolve incidents, manage batch operations, and perform root-cause analysis. Collaborate with Risk, Finance, Regulatory, Business, and Technology stakeholders while mentoring junior team members.

Designs and supports enterprise data platforms, ETL/ELT pipelines, Oracle databases, data warehouses, and risk and regulatory reporting solutions. Responsibilities include SQL/PLSQL development, data integration, quality, reconciliation, governance, production support, incident resolution, automation, batch scheduling, and regulatory reporting. The role partners with Risk, Finance, Compliance, Business, and Technology stakeholders while providing technical leadership and mentoring.

Design, develop, and support enterprise data platforms, ETL/ELT pipelines, Oracle and SQL/PLSQL solutions, data warehouses, and risk and regulatory reporting systems. Provide production support, troubleshoot batch and data issues, optimize performance, automate validation and reconciliation, and ensure data quality, governance, lineage, and audit readiness. Collaborate with Risk, Finance, Regulatory, Business, and Technology stakeholders while providing technical leadership and mentoring.

Evaluate, select, and deploy cloud-native tools to accelerate application development. Design scalable, secure cloud solutions, troubleshoot platform issues, automate deployments, monitor system reliability, and mentor junior engineers while collaborating with cross-functional teams to integrate and optimize cloud infrastructure.