Top AWS Jobs in Hyderabad

Build scalable Python backend applications, REST APIs, asynchronous services, and database-driven systems. Responsibilities include designing schemas and optimizing SQL queries, integrating frontend and third-party systems, implementing security and testing, containerizing applications with Docker, and supporting deployment, monitoring, scalability, and reliability. The role also involves performance tuning, collaboration with UI teams, and code reviews.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Develop and maintain CI/CD pipelines, build systems, test infrastructure, and release processes for embedded Wi-Fi software. Improve automation, developer productivity, monitoring, telemetry, cloud infrastructure, and operating costs. Establish software delivery standards, metrics, documentation, and workflows while collaborating with infrastructure, SRE, and cross-functional engineering teams.

Develop and lead scalable cloud-native SaaS features using ReactJS, TypeScript, GraphQL, and NodeJS. Translate business needs into technical solutions, troubleshoot complex issues, mentor junior engineers, improve development processes, and advocate for modern technologies. Collaborate cross-functionally and with customers to deliver high-quality government software, including AI-driven user experiences, agents, and workflow automation.

Build, deploy, and maintain customer-facing production software for frontier AI labs. Develop full-stack applications with React, TypeScript, and backend technologies; translate customer requirements into scalable solutions; and improve reliability, performance, and maintainability. Collaborate with engineering, research, product, operations, and globally distributed teams while contributing to customer deployments and the growth of Handshake AI’s engineering organization in India.

Lead development of scalable enterprise applications using Java and full-stack technologies. Responsibilities include hands-on coding, code reviews, team leadership and mentoring, stakeholder collaboration, CI/CD and cloud deployment, performance and security optimization, and technical roadmap development. The role requires expertise in Java, Spring Boot, front-end frameworks, microservices, cloud platforms, containerization, databases, and Agile practices.

Designs, builds, and owns scalable SaaS features using .NET/C#, APIs, databases, cloud services, and modern UI frameworks. Leads technical design, testing, compliance, security, production health, incident response, and cross-functional delivery. Uses AI-assisted development tools while validating generated code for security, reliability, scalability, and data integrity. Requires strong system design, communication, and engineering judgment, with opportunities to develop AI-enabled engineering automation.

Develop, test, release, and maintain full-stack production services and applications. Build Java Spring microservices and React features, work with databases and cloud technologies, participate in code reviews and research projects, support CI/CD delivery, troubleshoot production issues, and mentor teammates while contributing to architecture, risk management, and continuous improvement.

Leads complex software engineering initiatives and designs scalable Java full-stack applications using Spring Boot and React or Angular. Defines architecture and engineering standards, develops REST and GraphQL APIs, integrates SQL and NoSQL databases, and supports cloud deployments and CI/CD pipelines. Mentors engineers through code reviews and technical direction while promoting application security, reliability, observability, SRE practices, and operational excellence in Agile/Scrum environments.

Lead the QA strategy and execution for product releases while managing manual and automation testing teams. Responsibilities include defining test plans, designing automation frameworks, tracking quality metrics, coordinating release readiness, reviewing test assets, integrating CI/CD, improving QA processes, and managing team capacity. The role remains hands-on with automation architecture, debugging, API testing, SQL, and test strategy development.

Own the performance engineering lifecycle, including workload modeling, test scripting, load and stress execution, results analysis, bottleneck identification, and tuning recommendations. Conduct API, web services, and database performance testing; prepare reports and dashboards; support capacity planning and release sign-off. Collaborate with development and engineering teams to ensure applications are scalable, stable, and performant.

Owns end-to-end technical delivery for complex retail technology projects. Responsibilities include reviewing architecture and code, troubleshooting Python and .NET systems, designing cloud solutions, implementing CI/CD and deployment strategies, assessing technical risks, and producing technical documentation. The role serves as a technical client contact, supports proposals, embeds DevSecOps practices, and evaluates AI tooling while using project management processes to keep engineering delivery on track.

Owns end-to-end development of significant SaaS product features using .NET/C#, cloud services, APIs, databases, and modern UI frameworks. Responsibilities include architecture, technical design, testing, compliance, threat modeling, production monitoring, incident response, and collaboration with product and design teams. The role also uses and evaluates AI-assisted development tools while ensuring security, reliability, scalability, and data integrity.

Own the end-to-end design, development, testing, deployment, and production health of scalable SaaS features using .NET/C#, cloud services, APIs, databases, and modern UI frameworks. Lead technical design, architecture, compliance, security, monitoring, incident response, and cross-functional delivery. Apply AI-assisted development tools responsibly while reviewing generated code for security, reliability, scalability, and data integrity.

Owns end-to-end development of significant SaaS product features using .NET, cloud services, APIs, databases, and modern UI frameworks. Responsibilities include system design, architecture, testing, compliance, security, production health, incident response, and collaboration with product and design teams. The engineer also uses and evaluates AI-assisted development tools while communicating technical decisions and driving reliable, scalable solutions.

Lead the design and management of secure, scalable AWS infrastructure and DevOps automation. Own CI/CD pipelines, infrastructure as code, container orchestration, monitoring, security, disaster recovery, and cost optimization. Troubleshoot complex production issues, drive DevSecOps practices, collaborate across engineering and security teams, and mentor DevOps engineers while providing technical leadership on architecture and operational improvements.

Define and execute enterprise technology architecture strategy across application, platform, infrastructure, integration, data, and cloud domains. Establish architecture standards, governance frameworks, review boards, and operating models while guiding modernization, microservices, API-driven systems, Azure cloud adoption, data platforms, AI/GenAI, automation, security, and cost optimization. Partner with business, product, engineering, and senior leadership to align technology decisions with business value, scalability, compliance, and innovation.

The DevOps Engineer III designs and operates cloud-native platforms, CI/CD and GitOps workflows, Kubernetes environments, reusable Terraform/OpenTofu infrastructure, and engineering automation. Responsibilities include AWS infrastructure implementation, observability, complex troubleshooting, reliability improvements, AI-enabled automation, developer self-service, and platform enablement. The role mentors engineers, leads technical workstreams, contributes to design decisions, and participates in operational readiness and on-call activities.

Provides technical leadership while designing, developing, and scaling full-stack web applications. Builds React frontends and Golang, TypeScript, or PHP backends; designs APIs, database schemas, migrations, and scalable architectures; optimizes performance and data integrity; collaborates with designers and product managers; conducts code reviews; mentors engineers; and contributes to testing, cloud infrastructure, and CI/CD practices.

Build and maintain AI-assisted quality infrastructure, including API and UI automation frameworks, CI/CD pipelines, test reporting, dashboards, alerting, and failure triage systems. Troubleshoot flaky tests and environment issues, support product scrum teams, review code, and promote effective AI-assisted engineering practices. The role emphasizes software engineering and internal platform development rather than direct product testing, machine learning, or data science.

Leads site reliability engineering initiatives focused on scalable infrastructure, automation, incident response, capacity planning, performance optimization, monitoring, security, disaster recovery, and continuous improvement. Manages infrastructure as code, cloud platforms, containers, CI/CD, and reliability tooling while leading, mentoring, and coaching SRE team members and resolving team conflicts.

Designs, develops, tests, deploys, and maintains scalable Java Spring Boot microservices and distributed cloud systems. Contributes to architecture, technical strategy, roadmaps, monitoring, testing, and continuous integration. Troubleshoots complex application issues, collaborates with product and engineering teams, estimates delivery work, and mentors junior engineers. The role also documents current and future-state processes and recommends technical improvements. GCP experience is preferred, including Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery.

Senior Site Reliability Engineer responsible for designing and maintaining scalable infrastructure, deployment processes, monitoring platforms, and automation for distributed systems. The role improves reliability, performance, observability, and operational efficiency through Linux administration, scripting, infrastructure as code, CI/CD, Kubernetes, cloud platforms, and monitoring tools. The engineer collaborates with internal teams to resolve technical challenges, safely deploy software, and drive continuous improvement.

Lead technical design and architecture for enterprise full‑stack solutions, mentor engineers, drive engineering standards, own product engineering roadmaps, implement CI/CD and cloud-native practices, lead incident response and collaborate with product and delivery stakeholders.

Design, develop, and maintain scalable, high-performance Golang APIs and backend services. Deploy and manage applications in cloud environments, build microservices and message-oriented middleware, and ensure reliability, security, and code quality. Participate in code reviews, testing, continuous integration, task estimation, and performance optimization while delivering robust software on schedule.