Top AWS Jobs in Hyderabad

Design, build, and maintain scalable Go backend services and REST APIs for a high-traffic B2B commerce platform. Develop Kafka-based event-driven workflows, PostgreSQL data models and queries, and AWS deployments. Collaborate with frontend, product, and QA teams on integrations, participate in design reviews and production support, and deliver clean, tested, documented code. The role requires overlap with US Eastern Time and occasional flexibility for releases or production incidents.

Lead end-to-end architecture and development of scalable enterprise applications using Java backends and modern frontend frameworks. Design secure system integrations, microservices, event-driven distributed systems, and pub-sub messaging architectures. Establish technical standards, review code, optimize production performance, resolve complex distributed-systems issues, and mentor engineers. Work with relational and NoSQL databases, cloud-native platforms, Kafka or equivalent streaming technologies, containers, and CI/CD pipelines.

Develop Generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search systems, and automation workflows. Build Python backend services and REST APIs using modern frameworks, integrate commercial and open-source LLMs, and support AWS deployments. Responsibilities include prompt engineering, testing, debugging, optimization, database and vector integration, and collaboration with engineering and product teams. The role is open to fresh graduates and candidates with up to three years of experience.

Owns data architecture and scalable engineering systems for an AI-native finance platform. Responsibilities include canonical data modeling, configurable connectors, SQL/dbt transformation, warehouse optimization, orchestration, CDC, lineage, data quality, schema evolution, and audit-ready traceability. The role also supports curated data for ML and LLM systems, customer-hosted multi-cloud deployments, mentoring distributed engineers, and collaboration with AI, backend, product, and US-based leadership.

Own and build multi-tenant backend APIs, authentication and authorization, review and approval workflows, audit trails, and tenant-isolated services. Design versioned contracts, ensure correctness and traceability, support multi-cloud and customer-hosted deployments, and manage performance, reliability, observability, and cost. Establish backend patterns, review designs, mentor engineers, and collaborate with data, AI, and product teams. Requires strong practical security, API design, and production service ownership.

Build production AI systems for finance teams, including per-customer anomaly detection models, grounded natural-language generation, agentic workflows, and managed LLM integrations. Develop Python services with SQL and warehouse access in containerized customer deployments. Establish rigorous evaluation, anti-leakage, hallucination, grounding, and faithfulness controls, incorporate human confirmation checkpoints, and convert user feedback into durable model and system improvements.

Own core backend services for a finance AI platform, building reliable, configuration-driven computation systems over financial and operational data. Ensure results are traceable, reproducible, auditable, and correctly reconciled. Provide technical leadership through architecture, design reviews, engineering standards, and mentorship while partnering with data, AI, and product teams. The role involves production Python, advanced SQL and data modeling, multi-tenant or customer-hosted deployments, and high standards for correctness and system reliability.

Lead the architecture, development, and delivery of distributed workflow-orchestration and production AI solutions. Build AI agents, LLM applications, durable workflows, integrations, and evaluation pipelines while applying distributed-systems, Saga, observability, MLOps, and LLMOps practices. Lead client workshops, translate requirements into architectures and delivery plans, manage technical workstreams, conduct reviews, mentor engineers, and establish reusable engineering standards and capability-center assets.

Develop web and mobile applications with React and React Native, build Python backend services and REST APIs, design relational databases, maintain ETL pipelines, integrate enterprise systems, troubleshoot production issues, and contribute to AI-powered products. The role involves writing tested code, optimizing performance, and collaborating with product, design, and AI engineering teams.

Develop generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search systems, and enterprise automation solutions. Build Python backend services and REST APIs, integrate commercial and open-source language models, use AI development frameworks, support AWS deployment, and perform prompt engineering, testing, debugging, and optimization. Collaborate with engineering and product teams to deliver maintainable, production-ready AI software.

Build and maintain AI/ML applications, LLM-powered solutions, AI agents, agentic workflows, and Model Context Protocol integrations. Develop prompt, retrieval, tool-calling, and workflow automation systems; evaluate model quality, safety, and reliability; and support production deployment, monitoring, and continuous improvement. Collaborate with product, engineering, and business teams, while documenting architectures and implementation details.

Develop and maintain scalable Python applications in an enterprise environment. Responsibilities include integrating AI/ML solutions, building REST APIs, working with databases, applying secure coding practices, collaborating across technical teams, troubleshooting production issues, monitoring performance, participating in code reviews, and following enterprise deployment and operational standards.

Lead end-to-end architecture for scalable, secure, and reliable production systems serving large user bases. Own system design, APIs, data models, cloud infrastructure, security, observability, performance, and cost optimization. Architect MERN and distributed systems across healthcare, fintech, AI, and SaaS domains. Establish engineering standards, resolve production bottlenecks, participate in coding and reviews, and mentor senior engineers and technical leaders.

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.

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 software and AI product delivery from scoping through launch. Define scope, goals, timelines, budgets, requirements, and milestones; coordinate cross-functional teams and vendors; manage risks, changes, stakeholder communication, and documentation; and oversee LLM integrations, chatbots, AI agents, and automation while ensuring projects meet client outcomes.

Designs, builds, deploys, and maintains secure, scalable production applications using Node.js, React, MongoDB, and TypeScript. Responsibilities include API development, code reviews, incident response, root-cause analysis, architectural planning, mentoring, and collaboration with product, design, QA, and DevOps teams. The role requires cloud, CI/CD, containerization, monitoring, application security, and regulated-industry experience.

Develop and deploy complex Salesforce solutions involving Apex, JavaScript, SOQL, Lightning components, integrations, and custom applications. Collaborate with architects, consultants, engineering teams, and clients to design technical solutions, improve release processes, and use Heroku or AWS when Salesforce capabilities are insufficient. Mentor junior developers, support AppExchange products, manage deployment planning, and contribute to technical risk mitigation and project delivery.

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.

Build and deploy AI-powered applications, LLM agents, RAG pipelines, backend services, APIs, and frontend applications. Integrate cloud AI services, databases, Docker, and infrastructure-as-code while applying secure development practices. Collaborate with engineering, business, and client teams to prototype solutions, conduct workshops, and deliver client-facing features. The role may evolve into forward-deployed engineering with direct client engagement.

Maintain and improve Azure cloud and Kubernetes environments, including AKS clusters, infrastructure, networking, security, monitoring, and reliability. Onboard applications by containerizing workloads and configuring Kubernetes deployments, networking, secrets, and releases. Troubleshoot application and infrastructure issues, automate CI/CD and provisioning, and maintain operational documentation, runbooks, alerts, and production readiness in collaboration with development and security teams.

Own end-to-end software architecture for scalable, secure systems across healthcare, fintech, AI, and SaaS products. Design APIs, data models, distributed systems, cloud infrastructure, microservices, and event-driven solutions. Stay hands-on with Node.js and React development, participate in reviews, establish engineering standards, and mentor senior engineers. The role requires experience with security-critical systems, cloud platforms, reliability, scalability, and architectural decision-making.

Designs, deploys, secures, monitors, and supports Azure and hybrid cloud infrastructure. Serves as the Level 3 escalation point for complex incidents, manages networking, identity, security monitoring, automation, backups, disaster recovery, compliance, and infrastructure-as-code. Performs root-cause analysis, implements permanent fixes, supports audits and migrations, participates in on-call and major incident response, and mentors junior engineers. The role requires strong Azure, cloud networking, Windows/Linux, IAM, security, Terraform, scripting, and troubleshooting expertise.

Build and maintain data foundations for AI agents, analytics, scorecards, and dashboards. Responsibilities include developing ingestion pipelines and enterprise connectors, modeling raw-to-mart layers, managing metadata and vector indexes, implementing data quality and lineage controls, and supporting governed data stores. The role also covers API integrations, incremental ingestion, security controls, testing, release activities, and data validation. Preferred experience includes RAG preparation, unstructured content processing, knowledge graphs, LLM applications, and regulated life sciences data.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.