Top AWS Jobs in Chennai

Designs and maintains reliable, scalable data pipelines and Apache Airflow workflows for business-critical applications. Builds observability platforms, manages incidents, performs root-cause analysis, and automates remediation. Uses cloud infrastructure, Kubernetes, Docker, and infrastructure-as-code tools to improve reliability and efficiency. Supports production AI/ML pipelines, conducts performance and cost optimization, and establishes SRE standards, runbooks, monitoring, and disaster recovery practices.

Build enterprise platform capabilities including reusable GitHub Actions, Terraform modules, secure CI/CD pipelines, DevSecOps controls, and developer tooling. Develop automation in Python or Golang, support AWS and hybrid environments, define infrastructure testing strategies, and create reference architectures and documentation. Partner with engineering, security, architecture, and operations teams to drive adoption of scalable golden paths, secure defaults, and continuous improvement.

Architects and leads enterprise-scale Angular web application development, establishing frontend architecture, coding standards, performance, accessibility, testing, and DevOps practices. Integrates UI applications with Java and Spring Boot REST APIs, cloud environments, authentication, databases, and enterprise systems. Owns shared UI components, leads code reviews, mentors developers, troubleshoots complex issues, and influences technical decisions. Participates in Agile/Scrum planning and collaborates with QA and business stakeholders on UI/UX initiatives.

Develops and executes comprehensive automated testing for cloud-based networking applications, including functional, integration, API, UI, performance, load, scale, and security testing. Creates test strategies, automates end-to-end scenarios, reviews test code, debugs microservices architectures, validates wired and wireless networking protocols, and addresses customer deployment issues. Collaborates with product, development, and CloudOps teams while using cloud, containerization, performance monitoring, database, and network testing technologies.

Leads quality assurance for cloud-based networking applications, developing test strategies and automating end-to-end API and UI test suites. Performs functional, integration, performance, scale, and load testing across cloud, microservices, containerized, wired, and wireless networking environments. Reviews automation code, investigates customer issues, improves test coverage, and collaborates with product, development, and CloudOps teams. Requires strong programming, API testing, performance monitoring, network protocol, Linux, database, and observability skills.

Design and implement scalable development tools, cloud infrastructure, and secure CI/CD pipelines. Build and test deployment workflows, integrate container orchestration and cloud technologies, optimize processes, and improve system security. The role also involves technical leadership, team collaboration, mentoring, knowledge sharing, and providing solutions across multiple teams.

Designs and implements development tools, cloud infrastructure, and secure CI/CD pipelines. Leads automation and deployment optimization, manages containerized environments, collaborates across teams, makes technical decisions, solves complex infrastructure problems, and mentors junior engineers. The role requires expertise in DevOps architecture, AWS, CloudFormation, Python, continuous integration and deployment, container orchestration, infrastructure security, and scalable cloud solutions.

Designs and implements scalable development tools, cloud infrastructure, and secure CI/CD pipelines. The role manages container orchestration, automation, deployment processes, and security best practices while coordinating across teams. Responsibilities include serving as a subject matter expert, making technical decisions, mentoring team members, solving cross-team problems, and aligning DevOps practices with organizational goals.

Designs and implements scalable development infrastructure, secure CI/CD pipelines, cloud solutions, and containerized deployment environments. Monitors and troubleshoots systems, integrates security and compliance practices, collaborates across teams, and mentors engineers. Requires expertise in DevOps architecture, AWS, CloudFormation, Python, automation, monitoring, and cloud infrastructure management.

Build and configure development tools and infrastructure, design and test end-to-end CI/CD pipelines, and optimize pipeline performance. Apply cloud, container orchestration, configuration management, monitoring, logging, and security practices. Collaborate across teams, make technical decisions, provide solutions, manage team performance, and facilitate knowledge sharing.

Develop and enhance custom software solutions using Spring Boot, RESTful APIs, microservices, cloud platforms, and SQL. Collaborate across teams, make technical decisions, solve complex problems, mentor junior engineers, and improve development processes. The role requires subject matter expertise, agile delivery practices, and responsibility for scalable, high-performing applications.

Build, maintain, and optimize scalable batch and real-time data pipelines using PySpark, Spark, Python, SQL, and ETL/ELT tools. Design cloud-based data platforms, data lakes, ingestion strategies, and Big Data processing frameworks across AWS, Azure, or GCP. Ensure data quality, security, governance, performance, and availability while collaborating with architects, analysts, data scientists, and engineers.

Design and build resilient Java microservices and full-stack features for Walmart’s supply chain platforms. Develop event-driven, API-first systems using Kafka, Kubernetes, React, and Node.js; integrate ML inference and GenAI capabilities; own CI/CD, observability, and production deployments; lead technical design reviews, mentor engineers, troubleshoot complex issues, and collaborate with product, data, and infrastructure teams.

Lead deployment, updates, and operational support for Dalet's cloud-hosted solutions. Ensure reliability via SLAs/SLOs/SLIs, incident RCA, capacity planning, automation, cost optimization, and platform improvements. Manage deployments, collaborate with engineering and cross-functional teams, and engage customers to maintain service excellence.

Designs and governs scalable data architectures, including ETL/ELT pipelines, data modeling, storage, integration, security, and governance using Databricks. Builds Delta Lake, Auto Loader, and DLT pipelines; configures Unity Catalog; implements data sharing, BI integrations, dashboards, and AI-ready datasets. Optimizes cloud-based workloads for performance, cost, and reliability while collaborating with stakeholders and delivery teams. Requires strong Python, PySpark, Databricks, cloud, and data warehousing expertise.

Build, maintain, and optimize scalable data pipelines and ETL/ELT processes using PySpark, Spark, and Python. Design cloud-based data engineering solutions across AWS, Azure, or GCP; support data lakes, batch and streaming workloads, and data ingestion strategies. Collaborate with data scientists and analysts, improve Spark performance, maintain reusable code, and support data governance, security, and CI/CD practices.

Design and implement scalable data architectures, ETL/ELT pipelines, and secure Databricks solutions using Delta Lake, DLT, Auto Loader, PySpark, and cloud platforms. Configure Unity Catalog, data sharing, integrations, dashboards, and GenAI-ready datasets. Optimize pipeline performance, reliability, security, and cost while collaborating with stakeholders and supporting CI/CD deployments.

Designs application data structures, storage, integrations, and scalable Databricks ETL/ELT pipelines. Builds secure Delta Live Tables and Auto Loader workflows, configures Unity Catalog, implements data sharing and BI integrations, and optimizes cloud data processing. Develops Python and PySpark transformations, validation, PII masking, dashboards, and GenAI-ready datasets. Collaborates with stakeholders to ensure reliable, governed, observable, and cost-efficient data platforms.

Designs application data architecture, storage, integration, and scalable Databricks ETL/ELT pipelines. Builds PySpark and Python transformations, Auto Loader and DLT pipelines, Unity Catalog security controls, Delta Sharing integrations, and cloud data solutions. Develops optimized dashboards, GenAI-ready datasets, and CI/CD deployments while troubleshooting performance, reliability, governance, and cost efficiency.

Build, maintain, and optimize scalable batch and real-time data pipelines using Databricks, PySpark, Spark, Python, and cloud platforms. Develop ETL/ELT processes, data ingestion strategies, data lakes, and big data frameworks. Collaborate with analysts, data scientists, and engineers to ensure data quality and availability. Tune pipeline performance, support governance and security, and contribute to cloud deployments, orchestration, streaming, and DevOps practices.

Designs, builds, maintains, and optimizes scalable data pipelines and ETL/ELT processes using Databricks, PySpark, and Spark. Supports cloud data architecture across AWS, Azure, or GCP; develops batch and real-time processing solutions; manages data lakes and ingestion strategies; and collaborates with data scientists, analysts, and engineers. The role also contributes to performance tuning, governance, data security, troubleshooting, and reusable data engineering code.

Design and implement scalable data architectures, ETL/ELT pipelines, and Databricks-based data platforms. Build Delta Lake and DLT pipelines, configure Unity Catalog security and governance, implement data sharing, integrate BI tools, and prepare datasets for generative AI. Optimize performance, reliability, and cloud costs while collaborating with stakeholders. The role also involves Python and PySpark development, data modeling, warehousing, CI/CD deployment, and troubleshooting across cloud environments.

Designs and governs application data architecture, storage, integration, and scalable Databricks ETL/ELT pipelines. Builds secure Delta Lake and DLT pipelines, configures Unity Catalog, implements data sharing and BI integrations, and develops GenAI-ready datasets. The role also involves performance tuning, pipeline observability, CI/CD deployment, data modeling, cloud services, and collaboration with stakeholders to deliver reliable, efficient, and compliant data platforms.

Design and implement scalable data architectures and Databricks-based ETL/ELT pipelines. Build secure Delta Live Tables, Auto Loader, Unity Catalog, Delta Sharing, and cloud data solutions. Develop Python and PySpark transformations, validation, PII masking, dashboards, and GenAI-ready datasets. Optimize performance and costs, configure CI/CD deployments, and collaborate with stakeholders to deliver reliable, governed data platforms.

Design and implement scalable data architectures, ETL/ELT pipelines, and secure Databricks solutions. Build Delta Lake, Auto Loader, and DLT pipelines; configure Unity Catalog, data sharing, integrations, dashboards, and GenAI datasets. Develop Python and PySpark transformations, optimize performance and costs, and deploy through CI/CD. Collaborate with stakeholders to ensure robust data modeling, governance, observability, and alignment with business and technical objectives.