Top AWS Jobs in Hyderabad

Develop scalable full-stack applications using Java, React.js, Spring Boot microservices, Kafka, and AWS. Responsibilities include REST API development, cloud deployment, CI/CD, database integration, performance optimization, security, monitoring, logging, and production-ready code delivery. The role requires expertise in Java concurrency, event-driven architecture, Docker, Jenkins, Redis, observability tools, and SQL databases.

Own end-to-end architecture for high-scale healthcare, fintech, AI, and SaaS products. Design secure, reliable, cloud-native systems; make decisions on APIs, data models, distributed architecture, observability, scalability, and cost. Write production code, resolve performance and availability issues, establish engineering standards, conduct design and code reviews, and mentor senior engineers. The role requires operating systems serving more than 100,000 users and hands-on experience with Node.js, React, cloud platforms, and security-critical domains.

Develop Generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search, and enterprise automation solutions. Build Python backend services and REST APIs, integrate commercial and open-source LLMs, work with AI frameworks and vector databases, and support AWS deployment. Responsibilities also include prompt engineering, testing, debugging, performance optimization, and writing production-ready code while collaborating with software and product teams.

Build and maintain scalable full-stack web applications using React, TypeScript, and Node.js. Develop responsive interfaces, REST APIs, microservices, and event-driven services while optimizing performance, security, reliability, and scalability. Collaborate with product, design, and engineering teams, participate in architecture decisions and code reviews, and apply testing and engineering best practices. Preferred experience includes dashboards, RBAC, distributed systems, cloud platforms, containers, observability, caching, and message queues.

Design, develop, and maintain scalable Node.js backend systems, RESTful APIs, databases, and AWS cloud infrastructure. Manage MongoDB and SQL databases, monitoring, security, CI/CD, containerization, event-driven architecture, caching, and performance optimization. Collaborate with frontend, product, and DevOps teams to deliver secure, highly available services and resolve production issues.

Senior Software Engineer responsible for designing, building, deploying, and operating secure, scalable applications and APIs using Node.js, React, MongoDB, and TypeScript. The role includes production incident response, root-cause analysis, architecture, code reviews, mentoring, cloud infrastructure, CI/CD, monitoring, and cross-functional collaboration across client products and industries.

Build and modernize a full-stack enterprise SaaS platform by decomposing a legacy monolith into Next.js components and designing secure multi-tenant PostgreSQL backends. Develop strict row-level security, Microsoft Graph and SharePoint integrations, OAuth workflows, document-generation pipelines, LLM API middleware, and GitHub Actions CI/CD. The role emphasizes enterprise security, legacy modernization, architecture, and effective use of AI coding assistants.

Administer and support IBM Cognos TM1 and Planning Analytics environments across development, QA, and production. Responsibilities include installation, upgrades, monitoring, security, backups, recovery, troubleshooting, performance tuning, deployments, and stakeholder support for planning and forecasting. The role also develops and maintains Tableau dashboards, optimizes data sources, manages refresh schedules, and documents operational procedures. Experience with PAW, scripting, cloud platforms, SQL, and relational databases is advantageous.

Build and own production-grade data pipelines, source connectors, warehouse transformations, curated models, reconciliation, and lineage for an AI-native finance platform. Responsibilities include dbt development, Airflow or Dagster orchestration, SQL and warehouse performance tuning, Python tooling, data quality testing, integration of messy enterprise systems, and mentoring engineers. The role supports multi-cloud, multi-tenant, single-tenant, and on-premises deployments with strong requirements for correctness, auditability, and tenant isolation.

Leads enterprise application configuration management, drift governance, patch governance, security baseline compliance, exception management, remediation tracking, audit evidence, metrics, and executive reporting. Partners with cybersecurity, infrastructure, cloud, vulnerability management, ServiceNow, CMDB, and technology governance teams to improve compliance, automate reporting, and strengthen cyber resilience.

Develops, maintains, monitors, troubleshoots, and optimizes Amazon Redshift data warehouses and ETL/ELT pipelines. Responsibilities include SQL and Python development, production support, performance tuning, data quality validation, Tableau support, incident resolution, and operational documentation. The role also supports migration from Redshift to Databricks using Spark, Delta Lake, PySpark, Workflows, and Unity Catalog.

Own the frontend experience for an AI-driven hiring platform. Build scalable design systems, recruiter and candidate workspaces, real-time collaborative interview interfaces, streaming AI interactions, dashboards, visualizations, and secure embedded tools. Partner with product, AI, backend, and QA teams while optimizing performance, accessibility, responsiveness, and enterprise UX. The role requires deep React and Next.js expertise, SSR/RSC knowledge, and experience with WebSockets and collaborative editing.

Own and scale Exterview’s backend platform, building Node.js microservices, REST/GraphQL APIs, data models, asynchronous workflows, billing and notification integrations, and secure cloud infrastructure. The role focuses on high-throughput distributed systems, sub-100ms performance, observability, automated testing, CI/CD, and supporting thousands of concurrent AI-driven interviews and assessments. Collaborate with frontend, AI, DevOps, and product teams to define reliable architecture and technical specifications.

Design and build Meeru AI’s deterministic intelligence engine and conversational AI agent layer for audited financial workflows. Architect grounded, traceable systems using RAG, tool-using agents, structured outputs, verification, human-in-the-loop controls, and automated evaluations. Lead technical direction, mentor engineers, conduct design reviews, and develop production Python services with database and cloud deployment integrations across AWS, Azure, GCP, and on-premises environments.

Design, develop, test, troubleshoot, and maintain ETL pipelines that integrate data from databases, files, APIs, and other systems into data warehouses. The role involves defining data requirements, developing test cases, estimating development tasks, documenting deliverables, communicating status, and translating client business requirements into technical plans. Candidates will collaborate with data engineers, BI professionals, architects, clients, and data governance stakeholders across multiple industries.

Develop and maintain full-stack web applications using C#, .NET Core, React JS, and SQL Server. Collaborate with cross-functional teams, write maintainable code, participate in code reviews, troubleshoot defects, and improve application performance and development processes. The role also involves applying object-oriented design principles, developing Web APIs, working with relational databases, and contributing to testing, version control, Agile practices, and potentially cloud and CI/CD initiatives.

Own the AI intelligence layer for a finance platform, building production machine-learning models, LLM and agentic systems, RAG workflows, evaluation frameworks, and grounding guardrails. Develop per-customer models with strict anti-leakage practices, deploy containerized services across customer cloud environments, and ensure outputs are traceable to verified data. Provide technical direction, mentor engineers, and collaborate across backend, data, product, and evaluation teams.

Leads secure, scalable cloud infrastructure deployments across AWS, Azure, and GCP; drives complex healthcare workload migrations; delivers technical milestones for Professional Services engagements; builds Infrastructure as Code automation; ensures compliance; documents solutions; and mentors operational teams.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Maintains production system reliability through incident triage, monitoring, alert optimization, Kubernetes troubleshooting, root cause analysis, and 24/7 support. Develops automation using C#, Java, Python, PowerShell, or Bash; monitors CI/CD pipelines; supports self-healing solutions; documents incidents and postmortems; and ensures fintech compliance. Collaborates with engineering and global teams to improve availability, performance, security, and operational processes.

Develop and maintain scalable full-stack web applications, including responsive frontends, backend services, RESTful APIs, and SQL/NoSQL databases. Responsibilities include integrations, security, testing, troubleshooting, performance optimization, deployment support, documentation, Agile collaboration, architecture contributions, and mentoring junior developers. The role supports healthcare technology products and may involve EMR/EHR, medical billing, insurance, and healthcare interoperability systems.

Lead and provide operational direction for large-scale network and security operations teams. Design, deploy, and monitor datacenter security, troubleshoot network incidents, drive automation, support network deployments/upgrades, collaborate across IT disciplines, maintain documentation, and mentor security staff while improving processes and scalability.

Manage and support servers, operating systems, networks, routers, switches, firewalls, and VPNs. Perform system monitoring, patching, troubleshooting, backups, disaster recovery, security compliance, and preventive maintenance. Provide end-user technical support, maintain IT documentation, coordinate vendors, and support international voice communications with US-based teams and clients.

Designs and maintains AWS data architectures, ETL/ELT pipelines, data warehouses, analytics datasets, dashboards, and visualization solutions. Uses SQL, Python, Spark, Glue, Lambda, S3, Athena, Redshift, and QuickSight to prepare, transform, validate, and govern data. Collaborates with product, engineering, and operations teams, optimizing performance, cost, scalability, and data quality while integrating data systems with AI and natural-language query tools.

Build and scale Supabase Storage across client libraries, CLI, CDN, storage servers, and deployment infrastructure. Responsibilities include improving upload and download performance, asset optimization, edge networking, caching, observability, reliability, APIs, developer tools, and the storage explorer. The role also involves PostgreSQL and distributed-systems performance tuning, infrastructure operations, escalated support resolution, and end-to-end project ownership in an asynchronous, remote, open-source environment.