Top AWS Jobs in Hyderabad

Develop scalable backend solutions for fintech products, including APIs, microservices, and database integrations. Responsibilities include designing RESTful services, troubleshooting complex technical issues, optimizing performance, deploying applications on AWS, collaborating with cross-functional teams, and researching emerging technologies. The role requires strong Node.js expertise, cloud deployment experience, containerization knowledge, database optimization skills, and familiarity with software design principles.

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 and own secure, high-performance full-stack systems for healthcare and financial platforms using Node.js, React, MongoDB, and TypeScript. Responsibilities include end-to-end feature delivery, API and application development, architecture, testing, code reviews, production troubleshooting, cloud deployment, CI/CD, observability, and mentoring engineers. The role requires ownership of scalable production applications in regulated, high-stakes domains.

Own production reliability for high-availability healthcare, FinTech, AI, and SaaS systems. Responsibilities include defining SLOs and error budgets, building zero-downtime CI/CD pipelines, managing infrastructure with Terraform and Ansible, improving observability, leading incident response and postmortems, forecasting capacity, applying AI to operations, and participating in on-call rotations.

Provides Level 1 application and system support for global clients through monitoring, incident identification, troubleshooting, escalation, deployment support, dashboard creation, and operational logging. The role involves exposure to .NET, Java, databases, cloud platforms, DevOps tools, automation, and rotational shifts. Associates communicate with internal teams and clients, follow SLAs and procedures, maintain handovers, and contribute to continuous improvement.

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.

Manages end-to-end project planning, execution, budgeting, delivery, milestones, risks, resources, dependencies, and stakeholder communication. Facilitates Agile ceremonies, monitors team capacity and velocity, removes roadblocks, reports project metrics, manages customer and leadership expectations, and leads cross-functional teams to improve organizational processes and delivery outcomes.

Provide techno-functional application managed services for Oracle EBS Finance modules, including Accounts Receivable, Accounts Payable, and General Ledger. Responsibilities include incident resolution, enhancements, technical troubleshooting, functional configuration, ITSM tracking, root-cause analysis, support for AWS/Scala/Spark integrations, client communication, executive escalations, and managing priorities across global time zones and night shifts.

Lead enterprise AI architecture for Agentic AI, Generative AI, and AI-native solutions in the ETRM domain. Responsibilities include designing AI-ready platforms, governance frameworks, RAG and multi-agent architectures, MLOps and LLMOps capabilities, data ingestion pipelines, and secure cloud-native infrastructure. The role partners with clients to identify use cases, lead solution design and governance discussions, establish technology roadmaps, and enable AI adoption across trading, risk management, analytics, and decision support.

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.

Develop and maintain native iOS applications for phones and iPad devices. Responsibilities include designing features, ensuring application performance and quality, integrating RESTful APIs and AWS-backed services, implementing push notifications, maintaining code quality and automation, and collaborating with cross-functional development teams on prototypes and product features.

Develop and enhance native Android applications for mobile and handheld devices. Responsibilities include designing features, ensuring app performance and quality, integrating AWS-backed RESTful APIs and push notifications, maintaining code quality and automation, and creating prototypes and proofs of concept. The role involves collaboration with cross-functional and full-stack teams while contributing to cloud-native B2B SaaS products.

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.

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.

Build and own end-to-end features across AI recruitment, healthcare, trading, and fintech products. Develop React and Next.js frontends, Node.js and Express.js backend services, REST APIs, integrations, and database solutions. Participate in architecture, planning, reviews, deployments, troubleshooting, performance optimization, and production support. Apply secure authentication and authorization practices and use AI-assisted development tools. Preferred experience includes cloud platforms, containers, CI/CD, microservices, messaging systems, Terraform, and AI technologies.

Own ambiguous product problems end to end, from defining user flows and API contracts through frontend implementation, backend collaboration, testing, and production delivery. Review Haskell and React code, maintain performance, accessibility, SEO, and product quality standards, and use AI tools for prototyping, implementation, refactoring, debugging, and technical exploration. Work across product, UX, frontend, backend architecture, and AWS infrastructure in a remote-first environment.

Lead administration and production support for Informatica on-prem and cloud (IDMC), manage ETL batch recoveries, perform upgrades/migrations, troubleshoot incidents with vendors, provide root-cause analysis, and support after-hours/on-call needs to maintain high availability.

Build and operate Horizon, SkySpecs’ full-stack asset-management platform for renewable energy. Responsibilities include designing scalable systems, services, APIs, infrastructure as code, user experiences, internal tooling, automation, testing, observability, and deployment workflows. The engineer independently drives ambiguous initiatives from concept to production, collaborates cross-functionally, reviews code, leverages AI-assisted development, improves reliability and security, and mentors others while preparing for future engineering leadership.

Build and deploy production AI applications for enterprise Finance teams, from discovery with CFO stakeholders through prototyping, regulated deployment, adoption, and ROI measurement. Develop agentic and RAG workflows using Snowflake Cortex or Databricks Genie, LLM orchestration frameworks, vector search, and evaluation harnesses. Integrate governed enterprise data and platforms, ensure compliance and observability, and advise senior Finance leaders while creating reusable technical assets.

Leads the architecture, governance, integration, and delivery of AI-driven solutions across enterprise CRM, ERP, and iPaaS platforms. Designs AI/ML-enabled backend workflows, APIs, event-driven systems, automation pipelines, and production environments. Partners with technical and business stakeholders, ensures scalability, security, and compliance, and communicates architecture decisions. The role requires extensive enterprise architecture and systems integration experience, production AI implementation expertise, and knowledge of platforms such as Salesforce, SAP, MuleSoft, and related technologies.

As a Software Engineer on the Platform team, you'll design and maintain backend APIs, ensure performance, and collaborate with cross-functional teams for user experiences.