Top AWS Jobs in Bangalore

Design, build, and operate cloud infrastructure (primarily GCP, some AWS) using Terraform IaC. Manage Kubernetes (GKE/EKS), CI/CD pipelines, automation (Ansible, SaltStack), monitoring (Datadog, Splunk), scripting (Python/Bash), and enforce cloud security and compliance while supporting production and incident response.

Develop and maintain Python-based automation, CI/CD pipelines, containerized deployments, and infrastructure automation. Support build frameworks, Docker/Kubernetes platforms, monitoring, and Linux-based cloud/test environments to improve reliability and operational efficiency.

Own, design, build, and operate low-latency, high-throughput distributed decisioning systems for real-time ad bidding. Take end-to-end responsibility for subsystems, collaborate with applied scientists on ML-driven decisioning, diagnose complex concurrency and timing issues, mentor engineers, improve tooling and reliability, and communicate across engineering, product, and business stakeholders.

Design, build, and operate reliable cloud-native platforms using SRE principles. Implement automation, monitoring, incident response, and scalability improvements. Partner with development, security, and platform teams to drive reliability, migrations, and operational best practices while mentoring peers.

Serve as a trusted technical advisor delivering end-to-end design, implementation, and optimization of Data Center and networking solutions (Nexus, ACI, VXLAN). Lead engagements, resolve escalated technical issues, create reusable delivery frameworks, and collaborate with account teams to drive measurable customer outcomes.

Design, develop, and administer Advent Geneva RSL reports and integrations. Collaborate with users and developers to resolve accounting/data issues, build APIs, implement upgrades/patches, and integrate Geneva with OMS, Security Master, data warehouses and external platforms.

Contribute to internal platform services and pipeline frameworks: write, test, and debug code; automate infrastructure tasks; support Kubernetes-based container platforms; respond to alerts and basic incidents; and produce technical documentation for platform tools and processes.

The Data Engineer will lead development projects, manage ETL processes, and collaborate with teams to enhance data strategies while ensuring seamless technology integration across the organization.

Lead architecture and design of cloud-native Java/Spring Boot microservices and full‑stack applications. Define HLDs/LLDs, cloud (Azure/AWS) architectures, containers/Kubernetes, event-driven patterns, and non-functional requirements. Guide legacy modernization, incorporate AI/GenAI where applicable, collaborate with product and governance, and mentor senior engineers to drive best practices.

Lead architecture, design, and implementation of enterprise Appian BPM solutions. Translate business requirements into scalable Appian applications, integrate with external systems, ensure performance and security, mentor developers, and drive CI/CD and deployment practices.

Monitor and maintain infrastructure and applications, resolve incidents and service requests, provide advanced end-user technical support, configure hardware/software, manage network performance and security, document configurations, support projects and resiliency standards, and perform root-cause analysis to prevent future failures.

Lead engineering efforts to ensure reliability, resiliency, performance, and modernization of Mainframe and distributed platforms. Provide hands-on support, incident resolution, automation, SRE practices, observability, and platform roadmap execution. Partner with product, infrastructure, and engineering teams to implement hybrid mainframe-cloud architectures, CI/CD, security controls, and continuous improvement initiatives.

Ensure reliability, scalability, and performance of the enterprise data platform. Automate IaC, CI/CD, and deployments; manage observability, governance, FinOps, and incident response; collaborate with engineering and analytics teams to improve platform reliability and developer experience.

Design and build responsive, high-performance frontend applications with React/Angular while contributing to backend services in Java/Spring Boot. Lead frontend architecture, optimize performance and accessibility, mentor engineers, collaborate across teams, and support CI/CD and cloud deployments for scalable, user-centric products.

The Agile Test Automation Engineer oversees quality control testing, develops automated tests, collaborates with teams, and ensures software quality across the technology lifecycle.

Lead database design and management in cloud environments, build and maintain data pipelines, implement CI/CD and GitOps workflows, monitor SLAs, manage cloud costs, collaborate with DevOps, support engineering and support teams, and evaluate managed vs. self-hosted solutions.

Lead quality strategy and design scalable Playwright-based automation for UI and API testing. Drive GenAI-assisted test generation, integrate tests into CI/CD, analyze failures, mentor junior SDETs, and improve test coverage, reliability, and release readiness for distributed microservices.

Manage and maintain large-scale distributed big-data infrastructure ensuring reliability, scalability, and security. Automate provisioning, scaling, upgrades and monitoring; lead incident response and postmortems; troubleshoot production issues; implement SRE best practices; collaborate with teams for performance tuning, capacity planning and architecture reviews; develop automation and observability tooling to reduce manual effort and improve system resilience.

Design and implement scalable, secure, high-performance system architectures. Lead architectural reviews, define technical requirements with stakeholders, recommend technologies, mentor teams, mitigate technical risks, and drive best practices and innovation.

Develop and maintain backend services using Java and Spring Boot, design and implement REST APIs, work with Aerospike as a data store, and support integrations with PL/SQL. Collaborate on deployments and operations (Kubernetes) and optionally contribute to Angular/JavaScript front-end work. AWS experience is beneficial.

Lead a Python development team to design, build, test, and deploy scalable applications and APIs. Provide technical leadership, mentor developers, enforce code quality and best practices, optimize performance, and collaborate with stakeholders. Architect and integrate internal and external APIs and contribute to technical strategy.

Design, develop, and maintain scalable Java/Spring Boot backend and Angular frontend applications. Build microservices, RESTful APIs, event-driven solutions with Kafka, implement fault tolerance (Hystrix/circuit breakers), observability (SLI/SLO), and deploy on Kubernetes/AWS. Collaborate with cross-functional teams, mentor junior developers, and ensure reliability and performance.

Design, implement, and maintain AWS cloud infrastructure; build CI/CD pipelines; implement IaC and container orchestration; monitor and secure systems; automate deployments; collaborate with developers; document architecture and procedures.

Design and build end-to-end Tableau dashboards and visualizations. Perform strong SQL-based data analysis and collaborate with stakeholders. Communicate findings clearly; leverage Python and AWS skills as needed.

Senior full‑stack engineer responsible for building and maintaining Angular frontends and Java/Spring backends. Work includes GraphQL and REST/SOAP APIs, TDD with JUnit/Jasmine/Karma/Protractor, CI/CD builds and deployments (Jenkins/Maven/uDeploy), container and cloud platform (AWS/Azure) integration, and technical leadership.