Top AWS Jobs in Hyderabad

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

Design and implement ML infrastructure for scalable deployment, collaborate across teams, optimize ML systems, and enhance tooling.

The Applied AI Researcher will design experiments, train models, and build pipelines for a GenAI platform while contributing to research and deploying systems in production.

Provide application and trade support for equities trading systems: install/administer trading apps, monitor trade flows, troubleshoot FIX connectivity, support clients and sales/trading teams, maintain runbooks, and improve service resiliency.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

The Senior Software Engineer will design, develop, and support innovative solutions, collaborating with teams, analyzing requirements, and ensuring application performance in an agile environment.

The Site Reliability Engineer will monitor and ensure the reliability and performance of platforms using ELK and TICK stacks, bridging development and operations.

The DevOps Engineer will enhance software development and IT operations, focusing on automating processes, managing cloud infrastructure, and implementing CI/CD pipelines.

Design, build, and optimize clean‑core SAP S/4HANA extensions and ABAP services. Implement RAP, CDS modeling, OData services, BTP integrations, event‑driven ABAP, security, performance tuning, cross‑stack collaboration, and mentor engineering teams.

Lead full‑stack development of the Horizon platform: design, implement, and operate services across frontend, backend, infra, and data. Drive solutions, ship production code, improve reliability and developer productivity, and expand AI/agent capabilities while collaborating with product and cross‑functional teams.

The Data Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Leads the Solutions Architecture function across direct sales, cloud, partner, and solution-provider channels. Hires, coaches, and develops SAs; owns technical coverage, deal velocity, PoC win rates, technical qualification, escalations, playbooks, and pre-sale to post-sale handoffs. Partners with Sales, Partnerships, Engineering, Product, TAM, and Customer Engineering while contributing to strategic evaluations and team-wide ARR bookings.

Build and maintain cloud infrastructure, CI/CD pipelines, containerized workloads, and infrastructure-as-code systems on AWS. Manage production databases, monitoring, logging, observability, version control workflows, and deployment infrastructure. Support mobile release pipelines and optimize infrastructure costs as needed. The role is remote within Europe and involves collaborating with a small consumer AI platform team.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

Designs and implements scalable full-stack applications using React, Node.js, TypeScript, PostgreSQL, and AWS. Responsibilities include building web APIs, CI/CD pipelines, and cloud deployments; managing software releases from planning through deployment; translating business requirements into technical solutions; and collaborating with cross-functional teams. The role supports US customers during an evening-to-overnight IST schedule.

Designs and implements computer vision and machine learning algorithms for aquaculture applications. Responsibilities include developing prototypes, conducting experiments, building data-processing and training pipelines, maintaining model testing and statistical verification, extending AI codebases, documenting research, leading long-term research, recruiting talent, and tracking AI developments. The role may also involve production deployment, inference optimization, MLOps, cloud platforms, and occasional visits to aquaculture sites.

Provides customer-facing technical support by owning tickets from intake through resolution, meeting SLAs, troubleshooting data quality and integration issues, documenting solutions, and coordinating escalations. The role also contributes to knowledge management, pipeline monitoring, dashboards, AI agents, and workflow automation. Success requires accuracy, customer empathy, strong communication, systematic problem-solving, and the ability to manage multiple priorities in a remote, fast-paced SaaS environment.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.

The Senior Full Stack Developer will design, develop, and maintain core applications, mentoring juniors and overseeing code quality. Responsibilities include both front-end and back-end development using Java and React, leading architectural design, and implementing APIs.

Lead the design, development, and delivery of backup, restore, replication, and continuous data protection capabilities. Architect storage-driver interfaces and storage-independent replication for reliable recovery across data centers. Mentor engineers and provide technical direction across engineering, QA, UI, and UX. Collaborate with Product and Support, troubleshoot distributed-system failures, lead root-cause analysis, and establish engineering practices for testing, automation, documentation, and operational readiness.

Develop automated tests and genomic data analysis pipelines to validate code deployments, detect errors, and ensure the accuracy and integrity of clinical-grade sequencing workflows. Collaborate with software engineers and variant curators to improve bioinformatics processes and prevent production issues. The role combines bioinformatics expertise, large-scale genomic data analysis, software quality engineering, and test automation in a fully remote genomic health platform.

Design, implement, and manage scalable AWS infrastructure; lead migrations and modernization; build CI/CD pipelines and IaC; deploy containers with Kubernetes/Docker; apply Well-Architected principles; mentor junior engineers and drive DevOps best practices.

Design, develop, test, and maintain scalable full‑stack healthcare applications using .NET, modern frontend frameworks, GraphQL, serverless cloud (AWS/Azure) and microservices. Ensure HIPAA compliance, integrate rules engines, optimize search with OpenSearch, mentor junior engineers, and stay current with healthcare and technology trends.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.