Top AWS Jobs in Hyderabad

Lead architecture, scalability, performance, and technical direction for Salesforce applications and Node.js services. Manage and mentor a team of 10–15 engineers, set goals, conduct one-on-ones, hire talent, and remove blockers. Partner with Product and Engineering leadership to deliver reliable, secure, high-quality solutions while improving engineering velocity, deployment processes, developer experience, and platform performance.

Develop Android and Fire TV applications plus scalable Go or Java backend services for subscriptions, payments, in-app purchases, and entitlement workflows. Design REST APIs, microservices, distributed transaction processing, and resilient systems supporting millions of users and traffic spikes. Optimize performance, implement monitoring and observability, troubleshoot production issues, and collaborate across engineering and product teams.

Design and build scalable Java backend services for subscriptions, payments, entitlements, and Fire TV in-app purchases. Develop REST APIs, microservices, event-driven workflows, and reliable transaction-processing systems. Integrate payment providers and external platforms while ensuring idempotency, fault tolerance, consistency, and high performance. Improve observability, troubleshoot distributed production systems, and participate in architecture and code reviews.

Build and maintain scalable full-stack subscription, payment, and entitlement systems using Java and modern web technologies. Develop React-based user experiences, REST APIs, microservices, and Fire TV in-app purchase integrations. Design resilient distributed systems supporting high concurrency, reliability, observability, and traffic spikes. Integrate payment providers and platform APIs, improve performance, handle reconciliation and failure scenarios, participate in architecture and code reviews, and mentor engineers.

Build and maintain scalable full-stack subscription, payment, and entitlement systems using Java and modern web technologies. Develop React-based frontends, REST APIs, and microservices; integrate Fire TV in-app purchases, payment providers, app stores, and platform APIs. Improve performance, reliability, monitoring, and distributed-system consistency under high traffic. Collaborate across engineering and product teams, deliver production features independently, and participate in design and code reviews.

Design and build scalable Java and Spring Boot backend services for subscriptions, payments, entitlements, and Fire TV in-app purchases. Develop REST APIs, microservices, and event-driven workflows integrating payment providers and external platforms. Ensure high availability, fault tolerance, idempotent transaction processing, and performance during traffic spikes. Troubleshoot distributed production systems, improve observability, and participate in architecture and code reviews while mentoring engineers.

Build and support fund accounting data solutions for asset management, including integrations, transformations, reconciliations, controls, and finance reporting products. Develop large-scale data pipelines using Databricks, Python, PySpark, and SQL; work with investment data, NAV calculations, accruals, corporate actions, fees, and general ledger information. Support cloud-based delivery, data quality, orchestration, CI/CD, and direct collaboration with US stakeholders.

Design, develop, and maintain scalable batch and real-time data pipelines using Python and PySpark. Build cloud-based data processing solutions, CI/CD pipelines, and streaming systems while ensuring data quality, performance, and scalability. Collaborate with cross-functional teams to translate business requirements into reliable data architectures. The role involves technologies including Kafka, Flink, Kubernetes, Hadoop, Spark, MongoDB, and cloud platforms such as Azure, AWS, or GCP.

Develop and maintain .NET and .NET Core applications, build RESTful APIs, and design, deploy, and manage solutions on Microsoft Azure. Integrate databases and external services, write testable code, troubleshoot performance issues, and collaborate with QA, UI/UX, and product teams in Agile/Scrum ceremonies. The role also involves Azure services including App Services, Functions, Azure SQL, Storage, and Key Vault, with optional CI/CD, Docker, infrastructure-as-code, monitoring, and AWS experience.

Develop and maintain scalable full-stack applications using React.js, TypeScript, and Java. Build APIs and gRPC services, design SQL data models, integrate OpenAI capabilities, and deploy cloud-based solutions on Azure and AWS. Implement Terraform infrastructure, maintain CI/CD pipelines, use Git for version control, and develop automated tests with Playwright. Collaborate with cross-functional teams to deliver features and improve existing systems.

Designs, develops, and maintains scalable full-stack web applications using Node.js, Python, Angular, or React. Builds backend services and RESTful APIs, integrates third-party services, works with relational and NoSQL databases, performs testing and code reviews, deploys to cloud environments, and troubleshoots application performance issues while collaborating with UI/UX, DevOps, and QA teams.

Build and maintain complete web applications and backend services from architecture through production. Develop responsive interfaces, APIs, background workers, data pipelines, and AI integrations. Manage cloud deployment, monitoring, CI/CD, load testing, and system optimization. The role requires end-to-end ownership, strong full-stack development skills, relational database expertise, event-driven architecture knowledge, and the ability to work independently while communicating technical tradeoffs.

Build and maintain CI/CD pipelines, containerized deployments, and Azure infrastructure using Docker, Kubernetes, and Infrastructure as Code. Develop automation scripts, monitoring and centralized logging solutions, and implement infrastructure security practices. Collaborate with development, QA, operations, and security teams while troubleshooting systems, creating proofs of concept, and using AI-assisted coding tools to improve deployment and operational workflows.

Lead the architecture, design, and technology roadmap for scalable web applications using Java, MongoDB, and Angular. Provide technical guidance, mentorship, code reviews, and hands-on development support. Evaluate technologies, define technical solutions, oversee integrations and APIs, document architecture decisions, and ensure application performance, security, and scalability. Collaborate with product managers and development teams while applying cloud, containerization, and CI/CD practices.

Build production front-end and full-stack applications for conversational, agentic, and generative AI experiences. Design real-time streaming interactions using WebSockets and SSE, create agent-readable interfaces, integrate LLM and orchestration backends, and deliver accessible, performant React and TypeScript applications. The role also shapes AI-native interaction patterns, mentors teams, and ensures compliance, security, reliability, and trust in a regulated environment.

Build and operate production Python and FastAPI services for extracting entities and relationships from biomedical documents, resolving entities, maintaining large-scale knowledge graphs, and combining graph and vector retrieval. Responsibilities include ontology design, deduplication, provenance, hybrid GraphRAG ranking, monitoring, and production support. The role requires expertise in knowledge-graph construction, applied NLP, entity resolution, graph databases, scalable retrieval, and cloud-native engineering.

Design and build scalable infrastructure for production-grade generative AI agents, including memory, context, state, session management, orchestration, agent-to-agent communication, tool integration, observability, reliability, security, and cost optimization. Collaborate with application, platform, and product teams to establish reusable frameworks and architectures for secure enterprise agentic systems.

Design and build secure, scalable enterprise application architectures spanning front end, backend services, databases, APIs, integrations, authentication, authorization, and RBAC. Define workflows, business logic, data models, persistence strategies, validation, logging, auditability, and transactional integrity. Develop backend services, collaborate with front-end teams, establish technical standards, conduct code reviews, and support testing, CI/CD, observability, and production operations.

Build and support production-grade Node.js and TypeScript backend services for a SaaS product integrating with Coupa and enterprise applications. Design REST integrations, data mappings, transformations, validation, synchronization, error handling, tests, and troubleshooting workflows. Deploy containerized services on AWS, support CI/CD, observability, customer implementations, and multi-tenant configurations. Collaborate through Git workflows, documentation, technical specifications, runbooks, and AI-assisted development while maintaining code quality.

Designs enterprise AI architectures and production-ready Agentic AI, Generative AI, and AI-native solutions for Energy Trading & Risk Management. Responsibilities include client consultation, architecture governance, AI platforms and roadmaps, RAG and multi-agent systems, MLOps and LLMOps, data pipelines, security, compliance, observability, and responsible AI guardrails.

Designs and leads enterprise AI Factory and GPU infrastructure architectures spanning compute, networking, storage, Kubernetes, cloud, security, observability, and AI/ML platforms. Assesses workloads, develops reference architectures and detailed designs, performs capacity planning and technology evaluations, leads proof-of-concepts, and supports deployment, migration, troubleshooting, and production transition. Collaborates across infrastructure, security, cloud, data, application, and operations teams to ensure scalable, secure, reliable, and cost-effective AI platforms.

Early-career Associate Engineers will develop, test, debug, and maintain software and AI-first applications under experienced engineers. Responsibilities include applying programming, data structures, algorithms, SQL, APIs, Git, testing, and CI/CD practices while contributing to automation, proof-of-concepts, data, cloud, quality, full-stack, and AI/GenAI projects. The role emphasizes structured learning, collaboration, communication, problem-solving, and growth into specialized engineering disciplines.

Own HUD’s production infrastructure and backend platform systems, focusing on reliability, scalability, performance, cost, deployment safety, and developer experience. Build AWS infrastructure with Terraform and Kubernetes, improve CI/CD and observability, design resilient services and asynchronous systems, manage incidents, and develop internal automation and tooling. The role supports high-availability AI, marketplace, and data-heavy workloads.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Implements enterprise cryptographic strategy and post-quantum readiness through certificate automation, DigiCert self-service, PKI integrations, and cryptographic asset inventories. Builds certificate lifecycle workflows across cloud, CI/CD, infrastructure, and application environments; establishes CBOMs; remediates certificate and cryptographic risks; develops runbooks and dashboards; and supports crypto-agility, PQC migration planning, and technical adoption across global teams.