Top AWS Jobs in Hyderabad

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

Design, develop, and maintain scalable backend services; implement secure APIs; optimize system performance and reliability; collaborate with cross-functional teams.

As an Infrastructure Engineer, you will build and optimize storage and offloading infrastructure for multimodal robotics data, focusing on data movement, AWS optimization, and reliability across global operations.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

Design, develop, and execute test plans and automated tests (including API and performance). Identify and track defects, collaborate with cross-functional teams, maintain CI/CD test automation, and use AI tools to support test strategy and automation.

Lead IT audit and compliance activities, perform risk assessments, identify vulnerabilities across networks, applications, databases and cloud platforms, analyze audit data, recommend remediation, ensure IT governance alignment, and communicate findings to technical and non-technical stakeholders while collaborating with cross-functional teams.

Maintain and optimize production LLM/VLM services and microservices (Flask/FastAPI), manage async queues, deploy and monitor Uvicorn/Gunicorn hosts, integrate LLM routing tools, design prompt strategies, build feedback/evaluation pipelines, expose secure REST APIs, and track token usage, latency, and errors to ensure SaaS-grade AI performance.

Design, implement, and operate security controls across cloud, infrastructure, and SaaS. Lead identity, detection, vulnerability, and incident response efforts; automate controls with IaC; support compliance (SOC 2, ISO 27001); mentor engineers and drive security architecture and detection engineering.

The role involves building scalable software solutions, participating in code reviews, planning tasks, and staying updated on new technologies, mainly using Java and Spring frameworks.

Develop, test, and maintain Java-based applications and services. Participate in design and architecture, collaborate with cross-functional teams, write clean scalable code, optimize performance, troubleshoot issues, and maintain version control and CI/CD pipelines.

Build, deploy, and maintain AI/ML and generative AI solutions and platforms. Create CI/CD pipelines, containerized workloads (Docker/Kubernetes), and IaC (Terraform). Support cloud deployments (AWS/Azure/GCP), observability (Prometheus/Grafana), and MLOps practices while collaborating with engineering teams for reliability, performance, and security.

Design, develop, and maintain scalable backend systems. Implement distributed architecture patterns, collaborate with cross-functional teams, mentor junior developers, participate in design and code reviews, and take ownership of project delivery and POCs.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.

The Senior MEAN Stack Developer will design, develop, and deploy scalable web applications, focusing on building robust REST APIs and microservices, while ensuring code quality and continuous improvement.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

The Senior Site Reliability Engineer ensures the availability, performance, and security of Drivetrain's SaaS platform, managing multi-cloud infrastructure, optimizing CI/CD pipelines, and driving automation.

The Frontend Engineer will create responsive user interfaces, work closely with design and product teams, and ensure performance of products.

Lead R&D efforts to discover, prototype, and de-risk technologies across backend, web, mobile, cloud, and emerging platforms. Drive PoCs, define handoff models to product engineering, influence architecture and platform strategy, and ensure security and compliance of research outcomes.

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

Senior Node.js developer responsible for building large multi-tenant web and client-server applications. Requires 5+ years Node and SQL experience, cloud development (AWS/Azure), RESTful API design, strong OOD/design patterns and security/authentication knowledge. Works in Agile teams; Ruby experience and advanced degree are a plus. Must be authorized to work in the U.S.

Design, build, and maintain end-to-end automated test suites for web and mobile using Python, Selenium, and Robot Framework. Automate API tests (GraphQL/REST), integrate tests into CI/CD pipelines (Jenkins/Azure DevOps), use BrowserStack for cross-browser/mobile testing, collaborate in Agile, work with version control and databases, and apply testing methodologies (TDD/BDD, unit testing).

Develop and maintain enterprise-grade web and mobile applications using React and modern JavaScript. Build UIs with strong HTML/CSS skills, consume RESTful APIs, apply good UI/UX principles, work in Agile/SCRUM, and collaborate across teams. Contribute to state management, authentication, and cloud-enabled deployments.

Lead full-cycle recruiting for Data, ML, and Software Engineering roles. Source niche senior talent, perform technical screens, partner with engineering leaders, maintain ATS pipelines, and deliver hiring metrics and market intelligence.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.