Top AWS Jobs in Bangalore

Design, build, and maintain core CI/CD platform components, Terraform-based IaC workflows, and microservices to automate infrastructure provisioning and deployments. Collaborate with DevOps/SRE/Product teams to improve operational efficiency, integrate security by design, enable self-service automation, and mentor engineers while ensuring scalable, reliable, and well-tested backend systems.

Build and maintain Okta's Continuous Delivery platform, IaC execution engines, and supporting microservices. Design scalable CD pipelines and Terraform workflows, write backend services (Java/Python/Go), integrate security and automation, collaborate with DevOps/SRE/Product, and mentor engineers to improve operational efficiency and self-service infrastructure provisioning.

Design, develop, deploy, and troubleshoot scalable, reliable, secure cloud applications and services. Collaborate with cross-functional teams to define requirements, ensure compliance, resolve technical issues, and implement preventive improvements. Oversee work, manage end-to-end projects, provide guidance, and mentor junior colleagues while staying current with cloud technologies.

Lead and grow an 8–12 engineer team to deliver scalable, reliable SaaS systems. Manage hiring, performance, sprint planning, architecture reviews, CI/CD, observability, and technical debt reduction. Partner with Product, Design, QA, and DevOps to prioritize roadmap items and drive engineering best practices, operational excellence, and continuous improvement.

Lead full-stack and release engineering for endpoint cloud software across AWS, Azure, and vSphere. Design and maintain CI/CD pipelines, automated testing, deployment and rollback strategies, quality gates, and infrastructure. Coordinate enterprise releases across geographies, troubleshoot deployment issues, support root-cause analysis, ensure security and compliance, create runbooks, mentor engineers, and drive technical direction and continuous process improvement.

Design and deliver cloud networking and network security features across AWS, Azure, GCP, and OCI. Build and troubleshoot routing, VPN, NAT, firewall, and multi-cloud connectivity systems. Write production-grade Python or Go, develop comprehensive tests, analyze network traffic, improve observability, and resolve production issues. Collaborate on architecture and code reviews, mentor junior engineers, and own features from design through delivery.

The role focuses on strengthening reliability and resilience in distributed systems across multi-cloud platforms, involving chaos engineering and observability practices.

Leads development of complex enterprise platform features across cross-functional teams. Responsibilities include architectural presentations, technical decision-making, task distribution, code reviews, mentoring, testing strategy, documentation, stakeholder management, customer and partner engagement, and sustaining assigned platform areas. The role requires extensive experience designing scalable distributed data systems with Java and Python, Java performance tuning, enterprise application development, and technical leadership.

Leads the architecture, development, migration, and maintenance of scalable data engineering infrastructure. Designs batch and real-time pipelines, data models, warehouses, APIs, and cloud-based data solutions; guides multi-terabyte database migrations; establishes engineering standards; mentors data engineers; and ensures performance, quality, security, compliance, and governance. The role evaluates emerging technologies and collaborates with architects, data scientists, analysts, and stakeholders to deliver data-intensive platforms.

Leads architecture, design, and implementation of large-scale Java and Spring Boot IoT microservices on AWS. Builds distributed systems supporting millions of devices and transactions, using streaming, databases, messaging, containers, and Kubernetes. Creates technical designs, improves deployment and operational capabilities, ensures security and performance, and collaborates across engineering, product, QA, DevOps, and support teams. Mentors engineers and guides adoption of CI/CD, automated testing, monitoring, self-healing, and modern GenAI capabilities.

Lead technical vision and architecture for mission-critical emergency response systems. Remain hands-on building and operating backend-heavy full-stack services, design for availability/scalability/reliability, mentor engineers, break down complex problems, define outcome-driven metrics, partner with product and operations, and champion AI-powered tooling to accelerate development and operational excellence during surge events.

Provides expert technical support for infrastructure services, resolves complex issues, monitors and troubleshoots systems, supports infrastructure projects, improves service efficiency, and develops technical documentation. Requires strong infrastructure technology analysis, data analysis, problem-solving, and continuous learning. The role typically requires five or more years of relevant experience, including at least two years in a similar position.

Provides expert technical support for infrastructure services, resolves complex issues, monitors and troubleshoots systems, supports infrastructure projects, improves service efficiency, documents incidents and configurations, and applies established technical standards and problem-solving practices.

Designs, develops, tests, monitors, and maintains scalable software solutions, microservices, and distributed systems in cloud environments. Contributes to architecture and technical strategy, troubleshoots complex issues, supports CI activities, and collaborates on product roadmaps. The role also documents current and future processes, creates technical prototypes, estimates delivery timelines, maintains technical roadmaps, and mentors junior engineers.

Design and lead scalable, automation-driven interoperability test strategies and infrastructure. Translate interoperability requirements into reusable, CI/CD-integrated automation, establish KPIs, drive AI-supported test generation, and mentor engineers while collaborating with stakeholders to ensure coverage and efficiency.

Develops and governs regional solution architecture frameworks, standards, documentation, workflows, and design decisions across APAC. Reviews infrastructure and product ecosystems, incorporates security and industry standards, and ensures solutions meet business, cost, compliance, and technical requirements. Leads architects and solution delivery while collaborating with senior technical and nontechnical stakeholders through workshops, training, and governance. Requires extensive cloud architecture experience across Azure, AWS, or GCP, with GenAI, LLM, and marketing technology knowledge beneficial.

Leads a ten-person platform engineering team responsible for infrastructure, systems engineering, DevOps, networking, test automation, modernization, reliability, and operational excellence. Owns technical direction, architecture, cloud and on-premises infrastructure, cost optimization, delivery, troubleshooting, hiring, performance management, and career development. Partners with engineering, QA, product, and US leadership while building team structure and future technical leaders.

Lead production software development across microservices, APIs, integrations, event-driven workflows, and AI-enabled agentic systems. Design reliable LLM workflows with tool calling, retrieval, orchestration, validation, observability, and human review. Lead technical delivery, modernize legacy components, mentor engineers, and establish safe AI-assisted development practices. Build containerized SaaS applications using Docker and Kubernetes, work with relational and NoSQL databases, and support cloud deployments, CI/CD, testing, security, and production operations.

Lead backend development, make technical decisions, and design scalable high-performance systems using Java, Spring, and microservices. Mentor team members, collaborate with frontend, QA, and DevOps teams, maintain code quality, manage technical debt, and drive backend innovation. The role also involves cloud platforms and may include reactive programming, containerization, Kubernetes, event-driven architecture, and messaging systems.

Designs and implements enterprise Hyper-V virtualization solutions, including clusters, storage, networking, performance tuning, capacity planning, and workload mobility. Builds automation with Ansible, Terraform, and PowerShell, develops self-healing and remediation workflows, maintains standardized host build pipelines, and supports Azure hybrid-cloud integration. Performs advanced troubleshooting, establishes monitoring and performance baselines, contributes to technical standards and reference architectures, and mentors junior engineers.

Lead and grow high-performing QA teams; manage capacity, hiring, and performance; define testing goals, KPIs, and delivery objectives; drive automation, performance testing, and process improvements; enable DevOps/continuous testing and AI-driven testing adoption; communicate status to stakeholders and support enterprise quality transformations, especially in retail and eCommerce domains.

Design, develop, and maintain Java-based microservices using Spring and Spring WebFlux. Build RESTful APIs, implement CI/CD pipelines, deploy with Docker and Kubernetes, optimize SQL/NoSQL data models, troubleshoot production issues, and participate in code reviews and Agile ceremonies.

Install, configure, and maintain PostgreSQL databases; monitor performance and optimize queries; perform backup, recovery, replication, upgrades and migrations; ensure high availability and security; troubleshoot production issues; collaborate with application and development teams.

Design, build, and maintain high-performance backend services in Go using microservices. Implement APIs (REST, gRPC, WebSockets), optimize scalability, collaborate with DevOps/QA/Product, participate in code reviews, troubleshoot production issues, and follow CI/CD and cloud best practices.

Design, build, and optimize scalable backend systems and distributed data pipelines for batch and real-time processing. Implement high-performance Java services (Spring/Spring Boot), leverage big-data tools (Spark, Kafka, Flink), integrate data lakes/warehouses, and ensure monitoring, performance tuning, and high availability for large-scale data systems.