Top AWS Jobs in Bengaluru

Design, develop, and maintain scalable web applications using MEAN/MERN. Build responsive front-ends (Angular), develop back-end APIs, perform code reviews, debug, and collaborate across teams. Contribute to CI/CD, keep up with emerging technologies, and ensure high-quality, maintainable code.

Build and maintain scalable UI, API, and integration test automation for an AI-driven cloud operations platform. Develop test strategies for microservices and distributed systems, integrate automated testing into CI/CD pipelines, validate REST APIs and contracts, investigate defects, and use observability data to improve quality. Support cloud environments, test data, release coverage, code reviews, and shift-left and shift-right quality practices.

Build and maintain complete web applications and backend services from architecture through production. Develop responsive interfaces, APIs, background workers, data pipelines, and AI integrations. Manage cloud deployment, monitoring, CI/CD, load testing, and system optimization. The role requires end-to-end ownership, strong full-stack development skills, relational database expertise, event-driven architecture knowledge, and the ability to work independently while communicating technical tradeoffs.

Designs and leads Java-based enterprise architectures, including scalable microservices and cloud-native solutions. Collaborates with stakeholders and technical teams to translate business requirements into architectures, mentors developers, reviews code quality and security, evaluates technologies, and ensures application performance, scalability, and compliance. Requires extensive software development experience, cloud and containerization expertise, database and API knowledge, DevOps familiarity, and strong cross-functional collaboration skills.

Design, build, and maintain backend services, APIs, distributed systems, and asynchronous systems. Own features from requirements through production, collaborate with Product and QA, monitor and troubleshoot production systems, participate in code reviews and system design, and improve backend performance and reliability.

Lead QA automation efforts by architecting and maintaining test frameworks for complex web applications, managing QA engineers, coordinating project status and resources, reporting progress and risks, and improving code quality and test performance. The role requires hands-on expertise in web, API, visual, and performance automation, strong JavaScript and TypeScript skills, cloud-platform knowledge, leadership, mentoring, and collaboration across technical and non-technical teams.

Lead ArisInfra’s engineering strategy, organization scaling, platform re-architecture, cloud-native infrastructure, AI integration, and product delivery. Responsibilities include modernizing backend and frontend systems, building scalable and resilient architectures, establishing DevOps and reliability practices, deploying ML capabilities, partnering with executives, and hiring and developing engineering leaders.

Design, build, and operate highly scalable backend and full-stack systems supporting SatSure’s geospatial products. Responsibilities include FastAPI services, PostgreSQL/PostGIS data layers, REST and asynchronous APIs, AWS cloud infrastructure, data pipelines, performance optimization, automated testing, CI/CD, observability, and system reliability. The role also contributes to AI/LLM features, geospatial capabilities, technical planning, cross-functional collaboration, and mentoring engineers.

Design, build, and operate highly scalable full-stack systems using React, FastAPI, PostgreSQL, PostGIS, and AWS. Responsibilities include architecture, API and frontend development, database optimization, cloud infrastructure, automated testing, CI/CD, observability, reliability, and performance tuning. The role also contributes to technical planning, cross-functional collaboration, stakeholder communication, code reviews, and mentoring engineers while supporting geospatial products serving millions of daily transactions.

Build and operate scalable full-stack geospatial applications using React, FastAPI, PostgreSQL, PostGIS, and AWS. Own features end to end, develop APIs and user interfaces, optimize databases and application performance, deploy infrastructure, write automated tests, maintain CI/CD and observability, participate in on-call support, and collaborate with product, data, and geospatial teams.

Build and maintain scalable test automation frameworks using Playwright, Cucumber, Python, and Java. Automate web, mobile, API, data, and end-to-end workflows; integrate testing into CI/CD pipelines; perform functional, regression, performance, and data validation testing; investigate production issues; and drive quality strategies, metrics, release readiness, and engineering best practices across the SDLC.

Design, build, and operate multi-cloud Kubernetes infrastructure supporting ML platforms, LLM inference, data pipelines, and developer tooling. Own Terraform and Helm automation, GitOps deployments, cluster operations, observability, reliability, FinOps, security governance, and internal platform standards. Partner with engineering and data science teams to scale workloads, optimize cloud costs, define SLOs, and lead incident response across AWS, GCP, and Azure.

Develop scalable full-stack software across the complete development lifecycle. Responsibilities include designing front-end and back-end architecture, building responsive applications, managing databases, creating APIs, testing, debugging, implementing security settings, documenting solutions, and collaborating with product managers, developers, data scientists, and analysts.

Paid six-month software engineering internship developing high-throughput integrations for ClickPost’s logistics intelligence platform. The intern will contribute to production systems processing over one million shipments daily, using Java or Kotlin and technologies including PostgreSQL, ScyllaDB, Kafka, RabbitMQ, cloud platforms, and monitoring tools. Responsibilities expand from onboarding and initial production contributions to end-to-end platform development, automation, visibility, and velocity improvements.

Senior Software Test Engineer responsible for manual and automated testing across web, mobile, and API platforms. Designs test automation strategies using Playwright and related frameworks, performs API, database, performance, and validation testing, and supports quality in Agile, cloud, CI/CD, and DevOps environments. Requires strong SQL, Git, cloud platform, and AI experience, with collaboration across product and technology teams.

Designs and delivers cloud and DevOps architectures, automates infrastructure and operational processes, implements CI/CD pipelines, and establishes engineering best practices. The role supports client adoption of cloud technologies, resolves complex technical issues, manages dependencies, and ensures end-to-end implementation quality. It also requires mentoring and leading team members, participating in client meetings, and working with cloud platforms, infrastructure automation, containers, serverless technologies, Kubernetes, Linux, and shell scripting.

Leads CloudifyOps's engineering strategy across cloud, DevOps, and AI/ML. Defines architecture, guides major client engagements, resolves complex technical issues, establishes engineering standards, and champions DevSecOps and MLOps. Builds engineering capability through hiring, mentoring, workforce planning, and upskilling. Partners with executive, sales, and business teams on roadmaps, proposals, pricing, technical demonstrations, and strategic deals while tracking delivery health, technical debt, and capability metrics.

Build and operate reliable AWS-based SaaS platforms through observability, infrastructure automation, CI/CD, container and serverless operations, incident response, security controls, and self-healing systems. The role owns services end to end, improves SLOs and incident metrics, maintains Terraform and GitHub Actions automation, participates in 24/7 on-call, and mentors engineers while applying governed AI-assisted engineering practices.

Build and support production-grade Node.js and TypeScript backend services for a SaaS product integrating with Coupa and enterprise applications. Design REST integrations, data mappings, transformations, validation, synchronization, error handling, tests, and troubleshooting workflows. Deploy containerized services on AWS, support CI/CD, observability, customer implementations, and multi-tenant configurations. Collaborate through Git workflows, documentation, technical specifications, runbooks, and AI-assisted development while maintaining code quality.

Maintain and advance DataZymes’ Databricks capabilities by evaluating new platform features, optimizing costs, shaping architecture standards, and converting proofs of concept into reusable patterns. Provide technical guidance, participate in architecture reviews, track the Databricks roadmap, support partner discussions, and influence certification and enablement priorities. The role requires broad expertise across data engineering, deployment, governance, GenAI, multi-cloud environments, and Databricks platform architecture.

Design, build, and maintain backend services for a fintech platform. Own cloud-native microservices, APIs, event-driven integrations (Kafka), and data stores (Postgres, DynamoDB/Redis). Deploy and manage infrastructure on AWS with Terraform and container platforms (Fargate/ECS). Write secure, production-grade code and collaborate with product teams to deliver customer-focused features.

Architect, build, and scale backend systems for Earnifi's fintech products. Design secure, event-driven, cloud-native microservices with Java and Spring Boot. Make foundational domain and data-modeling decisions, address scalability and consistency issues, mentor engineers, and collaborate with founders, product, and design to deliver customer-focused, reliable production systems.

Designs and leads enterprise AI Factory and GPU infrastructure architectures spanning compute, networking, storage, Kubernetes, cloud, security, observability, and AI/ML platforms. Assesses workloads, develops reference architectures and detailed designs, performs capacity planning and technology evaluations, leads proof-of-concepts, and supports deployment, migration, troubleshooting, and production transition. Collaborates across infrastructure, security, cloud, data, application, and operations teams to ensure scalable, secure, reliable, and cost-effective AI platforms.

Develop and support real-time data processing solutions using Confluent Kafka and Apache Flink. Configure Kafka brokers, Connect, Schema Registry, and source/sink connectors; process nested JSON and Avro data; and work with AWS services including S3, Lambda, and RDS. Responsibilities include troubleshooting, incident and problem management, root-cause analysis, documenting best practices, and providing technical guidance for highly available streaming environments.

Design, develop, and support enterprise integration solutions using MuleSoft Mule 4.x and Anypoint Platform. Build System, Process, and Experience APIs; create REST and SOAP integrations; transform data with DataWeave; manage APIs, deployments, monitoring, security, and error handling; write MUnit tests; troubleshoot production issues; support Git-based CI/CD; and produce technical documentation while collaborating with architects, QA, business teams, and developers.