Top AWS Jobs in Bangalore

Build, design, test, deploy, maintain, and improve cloud software using distributed systems and cloud technologies. Manage project priorities, deadlines, and deliverables while collaborating on complex engineering initiatives. The role requires strong software engineering fundamentals, programming ability, problem-solving skills, and familiarity with cloud platforms, containers, Kubernetes, and microservice architectures.

Develop, deploy, and maintain cloud application modules for hybrid environments. Design and automate test plans, debug and deploy code, and collaborate on cloud, virtualization, containerization, and CI/CD solutions.

Build and ship scalable backend features and RESTful microservices in a distributed cloud environment. Responsibilities include code review, testing, documentation, monitoring, error reporting, reliability and performance improvements, Agile participation, and mentoring teammates. The role requires experience with backend application development, object-oriented programming, databases, public cloud platforms, and cloud architecture patterns.

Designs, develops, tests, and deploys scalable full-stack web applications using ReactJS, NodeJS/Express, PostgreSQL, and AWS. Builds REST APIs, manages Docker-based cloud deployments and CI/CD pipelines, optimizes performance, implements security standards, troubleshoots incidents, conducts code reviews, and collaborates with global stakeholders. Uses AI coding assistants to improve development efficiency and quality.

Provides technical leadership for enterprise-scale software platforms and distributed systems. Designs, develops, and deploys scalable cloud solutions; establishes engineering standards; leads modernization, automation, observability, and reliability initiatives; evaluates emerging technologies; mentors engineering teams; manages technical risks; and partners with cross-functional stakeholders on technical roadmaps. The role also develops AI-powered solutions using no-code, low-code, and advanced platforms.

Designs and maintains Jenkins-based CI/CD pipelines, build and deployment systems, and cloud infrastructure across GCP, AWS, or Azure. Supports containerized applications using Docker, Kubernetes, and OpenShift; develops automation scripts; manages configuration and version control; and troubleshoots enterprise systems. The role also leads incident management, restores critical services, communicates major incidents to stakeholders, and maintains security, compliance, and operational documentation.

Build, design, test, deploy, maintain, and improve software for SaaS and cloud environments. Apply distributed systems and cloud expertise while managing project priorities, deadlines, and deliverables. Collaborate independently and with teams on complex, time-sensitive projects, using software engineering principles, design patterns, and SDLC methodologies. The role involves developing scalable software with programming languages such as Go, Java, C/C++, Scala, or Python, with cloud, containerization, and Kubernetes experience preferred.

Develops secure, scalable Java full-stack applications using Spring Boot and React. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, system stability, and agile delivery. Uses enterprise-approved AI development tools responsibly to improve productivity and code quality. Requires experience with software development in large corporate environments, SDLC practices, CI/CD, application resiliency, and security. Kafka, event-driven architecture, and AWS experience are preferred.

Lead hands-on software engineering for cloud-native data and AI/ML products within a financial markets technology team. Responsibilities include designing and developing secure production software, microservices, distributed systems, data engineering solutions, cloud infrastructure, DevOps, and MLOps capabilities. The role also drives responsible AI-assisted engineering practices, creates architecture artifacts, supports operational stability, and promotes automation, governance, and engineering best practices across teams.

Leads software engineering for secure, scalable financial technology applications. Responsibilities include designing, developing, testing, reviewing, debugging, and troubleshooting production code; improving automation, continuous delivery, and operational stability; implementing AI-assisted engineering practices; and evaluating vendor and internal architectural solutions. Requires Python, AWS cloud, software development lifecycle, data or machine-learning pipelines, and technical leadership experience, with preferred expertise in Terraform, Kubernetes, Docker, Kafka, MLOps, and LLMOps.

Leads hands-on development of secure, scalable Python applications using AWS and modern cloud-native technologies. Owns architecture, design reviews, code quality, CI/CD, production delivery, and reliability in partnership with SRE teams. Integrates AI and machine learning solutions, evaluates development tools, and promotes AI-assisted engineering practices. Manages a small engineering team while establishing technical standards and collaborating across systems teams.

Lead cloud-native software engineering for JPMorgan Chase’s Infrastructure Platforms team. Responsibilities include designing, developing, testing, troubleshooting, and operating scalable Kubernetes solutions on AWS, GCP, or Azure using Golang and/or Java. The role leads secure coding, code reviews, automated testing, remediation automation, architectural evaluations, operational stability, and adoption of responsible AI-assisted engineering tools across agile delivery teams.

Design, build, and maintain on-prem Kubernetes and virtualization environments, automate infrastructure (IaC, IaaS), maintain CI/CD pipelines and repos, troubleshoot incidents, perform code reviews and documentation, and lead platform improvements for large-scale production systems.

Own and operate virtualized infrastructure, IaaS platforms, and cloud environments supporting CrowdStrike’s software factory. Lead Infrastructure as Code and configuration management using Terraform, Packer, and Ansible; support migration from VMware to KVM-based private cloud; build automation and tooling; maintain monitoring, reliability, and resilience; troubleshoot incidents; participate in on-call; and document processes and review infrastructure code.

Develops, troubleshoots, and maintains secure, scalable software solutions within an agile JPMorgan Chase engineering team. Responsibilities include producing production code, architecture artifacts, automated testing, CI/CD improvements, AI-assisted development, system design, operational stability, and analysis of large datasets to improve applications and coding practices. The role requires AWS and cloud experience, UNIX, Terraform, incident and change management, modern programming, SDLC expertise, and familiarity with application resiliency and security.

Design and maintain AWS cloud infrastructure and cloud-native services supporting a 24/7 digital banking platform. Own applications, ensure compliance and documentation, improve AWS networking and third-party connectivity, maintain deployment pipelines, migrate CI/CD tooling, and support developer platform experience. Participate in on-call operations while prioritizing stability, scalability, security, performance, automation, and SDLC excellence.

Operate and evolve internal Temporal infrastructure on Kubernetes: deploy updates, automate operational tasks, tune performance and capacity, build observability, participate in on-call incident response, troubleshoot production issues, and help onboard internal teams while growing platform engineering skills.

Leads 2–3 scrum teams of 12–20 engineers, overseeing technical architecture, engineering and operational excellence, product strategy, and delivery. Builds and develops high-performing teams, mentors engineers and managers, drives technical innovation and quality, manages distributed stakeholders, and delivers large-scale SaaS platforms and web software in an ambiguous global environment.

Leads the design, development, testing, deployment, and operation of secure, resilient, cloud-native Java backend systems. Reviews code, troubleshoots technical issues, automates recurring remediation, evaluates vendor and architectural solutions, and promotes engineering communities of practice. Drives responsible adoption of AI-assisted development tools, including validation standards for correctness, performance, security, and data handling. Requires Kubernetes, AWS, CI/CD, software lifecycle expertise, and financial-services technology knowledge.

As a Lead Product Developer, you'll build scalable backend systems, APIs, and microservices, instill software development best practices, and lead an engineering team.

Lead backend development of cloud-native, scalable Python services; architect systems, mentor developers, run code reviews, collaborate with cross-functional teams, implement CI/CD and automated testing, and apply ML/data libraries and cloud/container technologies.

Leads software engineering for secure, scalable financial-services applications. Designs, develops, tests, reviews, and troubleshoots production code; improves application resiliency and automates recurring remediation. Guides agile SDLC practices and responsible adoption of AI-assisted development tools. Evaluates architecture and technology solutions with vendors and internal teams. Requires advanced Java, Spring Boot, microservices, AWS, cloud-native development, databases, and financial-services technology experience.

Leads software engineering efforts for secure, scalable financial technology products. Designs, develops, tests, reviews, and troubleshoots production code using Java, Python, AWS, and microservices. Drives responsible adoption of AI-assisted engineering tools, automation, resiliency, security, and CI/CD practices. Evaluates vendor and architectural solutions, mentors engineers, and collaborates with stakeholders across agile teams.

Leads software engineering teams building Python and generative AI automation, governing application risk and compliance, and operating resilient production services. Responsibilities include Kubernetes and cloud architecture, data pipelines, observability, CI/CD, SRE practices, incident management, security, AI-assisted engineering adoption, and cross-team execution. The role also establishes service-level objectives, error budgets, and reliability improvements while coaching engineers and documenting organizational knowledge.

Leads the strategy, governance, administration, and infrastructure operations of the JD Edwards EnterpriseOne 9.2 platform. Responsibilities include licensing, vendor governance, budgeting, patching, upgrades, vulnerability remediation, compliance, high availability, disaster recovery, server and storage architecture, backups, monitoring, performance optimization, and lifecycle management. The role provides technical leadership, leads projects and vendors, and partners with business and technical teams to deliver secure, scalable enterprise solutions.