Top AWS Jobs in Hyderabad

Lead design and implementation of enterprise observability and telemetry solutions across on-prem and cloud. Develop, test, and document large-scale infrastructure software, set standards and best practices, mentor teams, and champion AI-driven observability features like anomaly detection and guided root-cause analysis.

Lead systems operations and SRE-focused automation to improve reliability, observability, and operational reporting. Design and maintain data ingestion pipelines, dashboards, KPIs, automated workflows, tests, and production monitoring. Collaborate with vendors, engineering teams, and stakeholders to drive scalable solutions, reduce manual toil, and mentor team members while participating in Agile delivery.

Lead full-stack engineer responsible for automation testing and quality leadership. Build and maintain API/UI automation (Cypress, Playwright), performance testing (JMeter, Gatling), CI/CD and containerized deployments (Kubernetes, Docker, Jenkins), and backend services (Java, Spring Boot, REST, Kafka, Cassandra) on AWS. Manage and mentor quality teams, apply DevOps practices, and ensure high-quality code across the software lifecycle.

Lead full‑stack engineering for Java Spring Boot and React.js applications: design scalable microservices and APIs, integrate generative AI (LLM APIs/RAG), collaborate on cloud/DevOps deployments, enforce code quality, and mentor engineers to deliver product features.

Design, develop, maintain, and support full-stack software systems across Windows and Unix environments. Implement services (WebAPI/REST), database-backed features, CI/CD automation, and cloud integrations. Participate in architecture, DevOps, performance tuning, and use AI-assisted tools to improve development productivity and code quality while collaborating in Agile teams.

Lead full-stack engineering for customer acquisition and account origination: design, build, and operate Java/Spring Boot backends, REST microservices, and React/Angular UIs; drive CI/CD, observability, secure development, production support, and enterprise AI-assisted engineering adoption; mentor engineers and collaborate with cross-functional teams.

Design, develop, and maintain secure, unit-tested production code for data lake applications. Build architecture artifacts, troubleshoot complex issues, create data visualizations, and apply enterprise AI-assisted development tools while ensuring resiliency, security, and CI/CD practices.

Manage and develop engineering teams to deliver secure, scalable Java-based microservices and cloud-native applications. Guide architecture, ensure non-functional requirements, remove impediments, drive DevSecOps/CI-CD adoption, collaborate with Product and stakeholders, and lead hiring and performance management.

Lead database strategy, optimize SQL and application performance, design scalable AWS-native database architectures (RDS/Aurora/DynamoDB), perform deep database internals forensics, drive automation and IaC, mentor engineers, and partner with SRE and data teams to standardize monitoring, alerting, and DatabaseOps practices for large-scale data infrastructure.

Develop, maintain, and support full-stack manufacturing applications. Design, code, optimize databases, implement CI/CD, cloud and DevOps practices, and leverage AI-assisted tools. Collaborate with stakeholders and modernize systems.

Design, develop, and deliver cloud-native, microservices-based applications; write secure production code; lead AI-assisted engineering practices; improve operational stability; mentor teams; ensure scalable, resilient, zero-downtime solutions within agile teams.

Designs, develops, debugs, and maintains secure production software and architectures for data products. Builds UI and backend components, works with large data sets and databases, uses CI/CD and AI-assisted tools to improve code quality, mentors peers, and drives improvements in system architecture and coding practices.

Lead an agile team to design, develop, test, and operate secure, scalable financial-services software. Produce high-quality Java/Python/SQL code, adopt AI-assisted engineering practices, improve automation and resiliency, and evaluate external technical vendors and architectures.

Lead SDET work to design and maintain scalable E2E automation across UI, API, and config-driven flows. Integrate automation into CI/CD, improve test reliability, validate deployment guardrails, mentor teams, and collaborate with Platform, SRE, and Security to ensure release safety and compliance in a healthcare platform.

The Sr. Observability Engineer at Micron will manage and support monitoring tools, ensure system reliability, perform incident resolution, and maintain performance standards.

Design, develop, maintain, and support full‑stack manufacturing applications. Apply OOP and software engineering principles across the SDLC, implement services and databases, use DevOps/CI‑CD pipelines, cloud and container technologies, and collaborate in Agile teams while leveraging AI-assisted development tools to improve productivity and code quality.

Lead and coach multiple engineering teams to deliver scalable, resilient financial technology. Drive adoption of cloud-native AWS practices, Spring Boot microservices, SDLC/TLM automation, and enterprise AI-assisted development. Manage cross-team dependencies, budget input, hiring, and operational standards while ensuring security, resiliency, and reuse of firm technology patterns.

Design, develop and maintain Linux systems software for NAS appliance platform, focusing on production-grade Python and system automation while collaborating with QA and support teams.

Design, automate, and operate large-scale cloud infrastructure and container platforms (EKS/GKE). Lead observability, incident response, and on-call operations while tuning Linux/BSD systems. Collaborate cross-functionally to build resilient, secure systems, implement IaC and automation (Terraform/Ansible), and drive SRE best practices.

Lead design, implementation, modernization, and operation of the AutoSys workload automation platform. Drive reliability, automation, resiliency, cloud/container adoption, CI/CD, observability, incident/problem management, and self-service capabilities. Collaborate with SRE, application, and infrastructure teams, evaluate solutions, mentor juniors, and enforce governance/risk controls.

Design, build, and maintain scalable data pipelines and ETL infrastructure (SQL, AWS, ADF, DBT). Integrate large datasets, apply data modeling and warehousing best practices, ensure data quality, implement process improvements and automation, and collaborate with data scientists, analysts, and stakeholders. Support data security and healthcare-specific data needs.

The Senior Director will lead the Identity Platform team, focusing on modern identity protocols and building scalable, secure architecture that integrates authentication and authorization for users and non-users.

As a Lead Full Stack Engineer, you will design, build, and mentor on a platform for application development, focusing on backend services and frontend experiences. You'll leverage AI-assisted workflows and ensure operational excellence while collaborating with various teams.

Design, develop, test, and maintain scalable Python-based services and RESTful APIs. Build microservices, optimize Azure SQL and Snowflake databases, implement CI/CD pipelines, automate testing, troubleshoot production issues, and collaborate with product and architecture teams to deliver cloud-native solutions using GitHub and Azure/AWS.

Design, build, test, and deliver full-stack cloud web applications for a clinical intelligence platform. Drive technical roadmap, support SDLC end-to-end, collaborate cross-functionally, and perform occasional production support and releases.