Top AWS Jobs in Pune

Designs and executes software testing strategies, automated scripts, test plans, and manual test cases. Performs defect analysis, collaborates with developers and cross-functional teams, contributes to code reviews and acceptance criteria, and improves testing processes. The role requires Python-based BDD automation, GitLab pipelines, cloud platform knowledge, source control, and comprehensive QA lifecycle expertise. Preferred experience includes Azure certification, Terraform, and UI/API test automation.

Designs, develops, tests, and maintains scalable digital platforms, websites, portals, and business applications. Builds Java and Spring Boot backends, responsive frontends using JavaScript frameworks, and cloud-integrated solutions across AWS, Azure, and GCP. Owns end-to-end delivery, rapid prototyping, agile development, performance optimization, debugging, documentation, and secure coding practices.

The Platform Engineer will improve the reliability, availability, and performance of AWS and Kubernetes infrastructure. Responsibilities include on-call incident response, troubleshooting, root cause analysis, infrastructure automation, cloud architecture deployment, monitoring, observability, logging, alerting, and management of Linux and Elasticsearch environments. The role also involves developing dashboards, optimizing production systems, strengthening resilience, and implementing SRE practices such as SLIs, SLOs, and postmortems.

Designs, develops, and improves secure, scalable infrastructure and software delivery capabilities. Builds and maintains containerized platforms, cloud infrastructure, monitoring and observability solutions, DevSecOps controls, automation scripts, and CI/CD pipelines using Docker, Kubernetes, OpenShift, GitLab CI, and Jenkins. Collaborates with engineering, architecture, QA, operations, and product teams to improve reliability, security, deployment efficiency, and operational excellence in a regulated banking environment.

Own Kubernetes infrastructure, CI/CD pipelines, Terraform-based infrastructure automation, observability, incident response, infrastructure security, and hybrid networking for a large-scale cloud-agnostic backup platform. The role requires operating production systems across cloud and private environments, improving reliability and automation, managing on-call processes, and supporting scalable storage infrastructure.

Leads hands-on development of scalable data engineering and full-stack solutions using Python and AWS. Designs serverless applications, data models, SQL workflows, and DAG-based pipelines; provides architecture guidance, enforces coding standards, mentors engineers, resolves production issues, and supports fixed-income quant modeling teams. Collaborates with technical and business stakeholders on platform modernization, roadmap planning, governance, and high-availability data solutions.

Design, implement, and manage AWS-based CI/CD pipelines and automation. Provision infrastructure via IaC (Terraform/ARM), manage Git workflows, build agents, and release pipelines. Integrate automated testing, implement monitoring, logging and tracing, and collaborate on security assessments for cloud resources. Maintain Docker/Kubernetes platform components and optimize deployment processes.

Design, build, and scale full-stack web applications using Python backends and modern JavaScript frontends. Integrate generative AI through LLM APIs, prompt engineering, vector databases, and basic RAG. Develop database schemas, APIs, caching, automated tests, Dockerized deployments, and cloud infrastructure. Lead code reviews, uphold architecture and engineering best practices, and mentor junior and mid-level engineers.

Design, develop, test, and maintain scalable cloud-based digital platforms, websites, portals, and business applications. Build Java and Spring Boot backends, responsive frontends using JavaScript frameworks, and integrate solutions with AWS, Azure, and GCP. Own end-to-end delivery, rapidly prototype products, apply agile practices, optimize performance, maintain code quality, and implement secure DevSecOps practices.

Designs and delivers production AI/ML systems for enterprise clients, including generative AI, agentic AI, classical ML, data pipelines, and MLOps on cloud platforms. Leads engineers, owns architecture and production operations, runs client discovery, presents to executives, manages scope and risk, and ensures successful handoff. The role is hands-on, client-facing, and requires collaboration with U.S.-based teams on a shifted India schedule.

Design and execute performance testing strategies for large-scale applications. Analyze metrics, logs, memory consumption, and bottlenecks; recommend tuning improvements; triage defects; and communicate results to leadership. Support Linux, Unix, AWS, web, and application server environments, develop monitoring and automation tools, document best practices, estimate work, and provide rotational 24x7 support.

Develop and maintain software applications using Core Java, AWS, REST APIs, and Kafka. The role is based in Chennai and requires 6–9 years of experience.

Own production infrastructure for a student-recruitment platform, including resilience, backups, zero-downtime CI/CD, monitoring, incident response, security, disaster recovery, cost management, and documentation. Operate Linux infrastructure across Linode and DigitalOcean with Cloudflare, MongoDB, Docker, and Node.js applications. Establish recovery objectives, conduct restore drills, manage secrets and access controls, remediate audits, and support UK GDPR alignment. This remote role is based in India and requires independent ownership of infrastructure operations.

Develop and execute automated tests using Java, Rest Assured, and TestNG. Test APIs, databases, cloud services, and distributed systems across AWS, SQL, and NoSQL environments. Use Jenkins and Git for automation workflows, Postman for API testing, and monitoring tools including Splunk, CloudWatch, and Datadog. Apply performance testing and chaos engineering practices.

Designs, builds, secures, and governs AWS integration platforms using Bedrock AgentCore, MCP servers, REST APIs, containers, data pipelines, and infrastructure as code. The role configures identity, authentication, observability, security controls, networking, and CI/CD integrations while troubleshooting distributed cloud environments and collaborating with DevOps and cross-functional teams.

Design, build, and maintain full-stack web applications supporting AI-driven product discovery, search, recommendations, personalization, and consumer experiences. Lead frontend technical design, develop React and TypeScript components, integrate backend APIs and AI capabilities, optimize performance and reliability, and contribute to backend services. Mentor engineers, participate in technical reviews, and collaborate with product, design, data, AI, and engineering teams.

Build and operate scalable backend APIs, microservices, and integration services powering personalization, recommendations, search, and AI-driven consumer experiences. Own features from design through deployment, monitoring, and support. Collaborate with AI/ML and data engineering teams, improve service performance and reliability, contribute to system design and engineering standards, and mentor junior engineers.

Build and enhance full-stack, consumer-facing web applications for AI-driven product discovery, search, recommendations, and personalization. Develop reusable React components, integrate APIs and microservices, support backend services, and work with AI/ML and data teams. Contribute to scalable, secure, observable, and reliable solutions using search platforms, cloud services, databases, caching, and event-driven architectures. Collaborate cross-functionally with engineering, product, and design teams to deliver engaging digital experiences.

Build and enhance consumer-facing full-stack web applications for AI-driven product discovery, search, recommendations, and personalization. Develop React and TypeScript interfaces, integrate APIs and microservices, contribute to Java and Spring Boot backend services, and improve performance, accessibility, scalability, reliability, and observability. Collaborate with AI/ML, data, backend, product, and design teams while participating in design and code reviews and using AI-assisted engineering tools.

Develop and maintain scalable automated testing frameworks for enterprise systems, covering UI, API, SIT, regression, and end-to-end scenarios. Integrate automated suites with CI/CD pipelines, generate reports, troubleshoot failures, support defect triage, and collaborate with QA, engineering, architecture, and DevOps teams. The role also involves backend validation with SQL, test environment readiness, automation prioritization, and mentoring junior team members.

Design, deploy, and administer scalable AWS cloud architectures using services such as EC2, S3, Lambda, and CloudFormation. Provide technical support, monitor performance, resolve bottlenecks, secure cloud environments, and migrate operations and data to the cloud. Build and test architectures, manage Linux virtual machines in multi-tenant environments, recommend technology solutions, and ensure compliance, privacy, and cost efficiency.

Designs, builds, and operates scalable backend services, APIs, microservices, and event-driven systems supporting personalization, recommendations, search, and AI-driven consumer experiences. Partners with AI/ML, data, product, and engineering teams; integrates search and generative AI capabilities; improves performance, reliability, observability, security, and operational excellence. Leads technical delivery, mentors engineers, contributes to architecture reviews, and promotes engineering best practices.

Manages one to two software engineering teams delivering platform and application solutions. Responsibilities include hiring, career development, Agile delivery, roadmap execution, technical problem-solving, process improvement, team metrics, code reviews, technical debt reduction, and collaboration with internal and external stakeholders. The role requires hands-on Java or Python development, front-end expertise, AWS experience, understanding of LLMs and Agentic AI, and strong knowledge of software development, architecture, data modeling, and concurrent project delivery.

Designs, automates, and maintains AWS cloud infrastructure and platform services using Terraform and Ansible. Builds continuous deployment solutions with Kubernetes, ArgoCD, Jenkins, and GitHub Actions; partners with development teams on cloud-native architectures; monitors applications, participates in on-call support, and develops observability, alerting, remediation, and reliability strategies.

Lead platform engineering initiatives across cloud infrastructure, continuous delivery, developer environments, observability, and operational tooling. Own architectural decisions, build self-service infrastructure, improve CI/CD reliability and developer productivity, support AI-enabled engineering workflows, and participate in production on-call and incident response. This hands-on staff-level role also provides technical leadership and drives organization-wide engineering standards and reliability improvements.