Top AWS Jobs in Hyderabad

Build, enhance, optimize, and maintain data-driven applications for Micron’s Data Hub and Integration team. Develop data warehousing and business intelligence solutions using .NET and SQL Server, while applying cloud technologies, microservices, APIs, authentication protocols, containerization, frontend frameworks, and generative AI concepts. Collaborate in a fast-paced environment, meet project timelines, and communicate effectively with technical teams.

Designs and implements highly available AWS database platforms using Oracle, PostgreSQL, and Terraform. Leads database migrations, upgrades, modernization, performance tuning, automation, backup and recovery, disaster recovery, and business continuity initiatives. Establishes Terraform standards and reusable modules, troubleshoots infrastructure drift and deployment issues, analyzes execution plans and database performance reports, and provides technical leadership during incidents and recovery events.

Develops secure, production-quality software for banking data products across UI, backend-for-frontend, and data components. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, database work, visualization, CI/CD, operational stability, and responsible use of AI-assisted development tools. The role also contributes to engineering communities, mentors teammates, and partners with data analysts and publishing teams.

Build and support full-stack healthcare web applications and cloud platform services. Contribute to technical roadmaps, architecture, feature development, testing, deployment, releases, and production support. Collaborate with product, design, and engineering teams to deliver AI-driven and rules-based healthcare automation. Responsibilities also include supporting information security policies, practices, and implementation.

Design, develop, and maintain secure, scalable Java/Spring Boot microservices on AWS. Produce architecture and design artifacts, troubleshoot complex issues, analyze large datasets to improve systems, and apply CI/CD, resiliency, and secure coding practices. Use enterprise AI-assisted development tools responsibly to improve code quality while validating outputs.

Leads and delivers enterprise-scale full-stack software initiatives using Java, Spring Boot, React, REST APIs, microservices, event-driven integrations, and cloud technologies. Designs, tests, deploys, and maintains secure, scalable applications; builds CI/CD automation; optimizes relational and NoSQL databases; troubleshoots production issues; supports modernization and cloud migration; and mentors engineers while collaborating with product, architecture, QA, and security teams.

Designs, implements, administers, and supports enterprise storage, SAN, NAS, backup, and disaster recovery environments. Responsibilities include solution engineering, vendor coordination, troubleshooting, upgrades, capacity and performance management, change control, business continuity planning, automation, documentation, training, and 24x7 on-call support. The role requires expertise across NetApp, cloud storage, enterprise storage platforms, Cisco SAN infrastructure, IBM Spectrum Protect, Cohesity, and storage networking protocols.

Designs and manages Azure infrastructure, Kubernetes platforms, infrastructure-as-code, CI/CD pipelines, observability, automation, and secure, highly available systems supporting data engineering and data science teams. Builds self-service capabilities and AI-powered solutions, optimizes platform performance and costs, troubleshoots reliability issues, and mentors junior engineers while collaborating across teams.

Designs, develops, and maintains scalable full-stack web applications using Java, Spring Boot, React.js, REST APIs, microservices, and relational or NoSQL databases. Builds responsive interfaces, writes automated tests, troubleshoots production issues, implements CI/CD and containerized deployments, applies application security practices, and optimizes performance. Collaborates with product, design, QA, and DevOps teams in Agile/Scrum environments. The role also uses AI development tools and Azure AI services to automate and improve processes.

Design, develop, test, deploy, and optimize scalable full-stack web applications. Build Java and Spring Boot backend services, microservices, REST APIs, and responsive Angular or React frontends. Participate in code reviews, technical design discussions, Agile/Scrum delivery, and application reliability improvements. Use cloud, containerization, CI/CD, database, and automated testing technologies.

Leads software engineering teams in designing, developing, and delivering secure, scalable, resilient applications. Responsibilities include Java and Scala development, distributed systems architecture, AI-enabled applications and agentic workflows, cloud and data platform integration, CI/CD, containerization, infrastructure automation, testing, and enterprise AI-assisted engineering adoption. The role mentors engineers, drives architecture decisions, improves operational stability, and ensures responsible AI usage, governance, security, and human validation.

Leads architecture and implementation of secure, scalable data and integration solutions using Java, Kafka, AWS, Cassandra, Oracle, REST, and GraphQL. Designs streaming and batch pipelines, data contracts, APIs, distributed systems, observability, and governance patterns. Drives proof-of-concepts, production readiness, AI-assisted engineering practices, secure coding, testing, and cross-team technical standards. Requires strong technical leadership, stakeholder communication, and experience operating large-scale production systems.

Leads forward-deployed engineering engagements delivering enterprise data solutions on Databricks and Snowflake. Owns delivery strategy, operating models, architecture, governance, privacy, security, compliance, budgets, vendors, metrics, and executive communications. Partners with product and technology leaders to develop reusable platform capabilities, while hiring, coaching, and managing senior engineering teams. The role requires enterprise-scale cloud data platform expertise across multi-cloud and hybrid environments, including AWS, data governance, metadata, lineage, retention, and regulatory controls.

Own the technical execution of production data migrations, integrations, and automations for APAC customers. Build backend services, data pipelines, migration utilities, validation frameworks, and reusable tooling using Python, SQL, APIs, databases, and cloud infrastructure. Handle testing, deployment, reconciliation, debugging, security, observability, failure recovery, documentation, and operational handoff while coordinating with regional engineers and managing multiple implementation workstreams.

Staff Software Development Engineer responsible for architecting and operating high-scale distributed systems on a cloud security platform. The role provides architectural guidance, establishes coding, testing, observability, and CI/CD standards, and leads cross-team initiatives in performance, reliability, and technology adoption. Requirements include extensive Java experience with Kafka, Druid, and Elasticsearch, cloud infrastructure knowledge, on-call incident response, and RCA writing. Preferred experience includes Kubernetes, Postgres, Redis, identity systems, and security protocols.

Leads end-to-end development of scalable full-stack applications using .NET, C#, and Angular. Designs AI-powered solutions, manages Azure or AWS cloud infrastructure, integrates SAST and DAST security testing, improves observability with Datadog, and develops CI/CD pipelines using GitHub Workflows and JFrog Artifactory. The role also includes application performance tuning, production support, technical mentoring, and translating business needs into secure, scalable applications.

Leads and coaches multiple software engineering teams while overseeing resources, budgets, technical execution, and operating practices. Drives enterprise adoption of AI-assisted engineering and SDLC automation with governance, security, quality, and measurable delivery outcomes. Guides Java backend development and AWS cloud-native distributed services, participates in architecture and design reviews, promotes testing, CI/CD, observability, and secure coding, and collaborates with product and business stakeholders.

Leads enterprise payment technology strategy and architecture, designing scalable cloud-native, microservices-based solutions. Advises leadership, drives modernization from legacy platforms, integrates APIs and payment gateways, and ensures security, compliance, performance, and reliability. Provides expertise in payment standards including ACH, SWIFT, ISO 20022, and real-time payments. Collaborates across product and engineering teams, mentors engineers, facilitates technical workshops, and advances innovation through automation, DevOps, AI, blockchain, and digital wallet technologies.

Designs, administers, and optimizes enterprise backup, recovery, and cyber resilience solutions across on-premises, hybrid-cloud, and public-cloud environments. Leads backup and disaster recovery initiatives, ensures RPO/RTO compliance, develops Terraform-based infrastructure automation, and scripts operational processes using Python, PowerShell, and Bash. Implements monitoring, observability, immutable backups, cyber vaults, isolated recovery environments, and air-gapped recovery capabilities. Troubleshoots complex infrastructure issues, supports audits and compliance, and drives technical roadmaps and operational excellence.

Develops secure, scalable software for AI/ML and generative AI platforms within an agile team. Responsibilities include Python and AWS development, platform engineering, MLOps, data governance, LLM fine-tuning, multi-agent orchestration, troubleshooting, automation, continuous integration, and communicating technical solutions across the organization.

Leads software engineering teams and technical strategy across complex projects, delivering full-stack, cloud-based solutions at scale. Oversees architecture, governance, resiliency, automation, technology lifecycle management, and timely delivery. Drives adoption of agentic AI, RAG, automated testing, and AI-enabled SDLC practices with appropriate security, validation, and governance controls. Partners with product, engineering, and senior business stakeholders while hiring, developing, and managing technology talent.

Lead full-stack development of secure applications using Java, Spring Boot, React.js, microservices, and cloud technologies. Drive architecture, code quality, technical governance, DevOps collaboration, and CI/CD delivery. Integrate generative AI capabilities such as LLM APIs, semantic search, and RAG workflows. Mentor engineers, translate requirements into technical tasks, collaborate with product managers, and support scalable cloud-native systems.

Leads the design, development, and operation of resilient cloud-native platform services. Responsibilities include Kubernetes and OpenShift engineering, Infrastructure as Code, CI/CD and GitOps, observability, reliability, security, cost optimization, incident response, automation, and production support. The role also mentors engineers, reviews code, establishes platform standards, and influences technical direction for developer experience and operational excellence.

Lead technical strategy and solution architecture for complex, high-value GSI-led bids. Develop joint solutions, proposals, architectures, demonstrations, and executive presentations while coordinating MongoDB, partners, customers, sales, delivery, legal, and finance stakeholders. Translate business outcomes into scalable, secure MongoDB architectures and partner delivery models, identify risks and competitive threats, support strategic pursuits, create reusable bid assets, and mentor architects and partner technical teams.

Leads SREs in designing, administering, and operating a managed AWS Databricks platform. Responsibilities include resilient multi-region architecture, observability, alerting, capacity planning, infrastructure automation, CI/CD, secure software development, incident response, troubleshooting, and postmortems. The role also establishes safe, auditable AI-assisted reliability workflows and collaborates with engineering, data, and vendor teams to improve platform scalability, performance, and operational excellence.