Top AWS Jobs in Hyderabad

Build and ship production-ready Java full-stack software using AI-native engineering practices. Responsibilities include designing, implementing, testing, maintaining, and improving scalable web services and distributed systems; leading architecture and code reviews; supporting cloud, DevOps, and AI modernization initiatives; debugging complex systems; mentoring developers; and collaborating with customers and cross-functional teams.

Build and lead production-ready software using AI-native engineering practices. Provide architectural direction, design scalable systems and APIs, guide cloud and DevOps modernization, conduct design reviews, mentor engineers, and drive architectural governance. Collaborate with product and engineering stakeholders to improve reliability, security, platform convergence, delivery processes, and business impact. The role requires strong .NET full-stack development, modern programming languages, microservices, cloud platforms, infrastructure as code, and LLM expertise.

Lead software architecture and engineering initiatives for scalable systems and applications. Collaborate with product and engineering teams on technical designs, architectural governance, platform convergence, and feature delivery. Mentor developers, conduct design reviews, improve system reliability and performance, and guide cloud, DevOps, AI, and modernization efforts. Communicate technical direction to stakeholders and executive leadership while fostering learning, collaboration, and continuous improvement.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, design, implementation, testing, debugging, and code reviews for scalable distributed systems and cloud-based SaaS products. Drive cloud, DevOps, and AI modernization initiatives while mentoring developers, improving code quality, supporting customers, and translating AI capabilities into business impact. Collaborate across engineering, product, and stakeholder teams to deliver secure, reliable solutions.

Build and ship production-ready AI-native software using .NET full-stack development. Provide architectural direction, lead design sessions, conduct code reviews, drive architectural governance, and mentor engineering teams. Design scalable systems, microservices, and REST APIs while supporting cloud, DevOps, AI modernization, continuous delivery, and infrastructure-as-code initiatives. Collaborate with product managers and stakeholders to improve applications, platform convergence, reliability, security, and business impact.

Build and ship production-ready AI-native software using Java full-stack development. Responsibilities include designing, implementing, testing, maintaining, and optimizing scalable web services and distributed systems; conducting architecture and code reviews; improving quality and security; supporting cloud infrastructure and CI/CD; mentoring developers; investigating emerging technologies; and collaborating across product, engineering, and customer support teams.

Lead the design, development, testing, maintenance, and support of scalable Java full-stack software and distributed cloud systems. Provide technical direction, architecture and code reviews, mentoring, knowledge transfer, troubleshooting, and continuous quality improvement. Collaborate across engineering, product, customer support, and other stakeholders while advancing AI-native development, DevOps, cloud modernization, automation, and secure software practices.

Build and maintain full-stack applications with React.js and Node.js. Develop scalable REST APIs, optimize MySQL, MongoDB, and Cassandra databases, and implement Kafka-based messaging, streams, and WebSockets. Contribute to low-level design, performance optimization, debugging, code reviews, and CI/CD. Use AI coding assistants throughout development while validating generated output. Applicants must submit a working React and Node prototype plus documentation of their AI-assisted development process.

Designs, automates, secures, and operates scalable AWS infrastructure and production workloads. Responsibilities include CI/CD, Infrastructure as Code, Kubernetes operations, observability, incident management, cloud security, disaster recovery, cost optimization, automation, troubleshooting, documentation, and mentoring engineers.

Build and operate scalable backend and distributed systems in cloud environments. Own software problems from design through deployment, improve architecture, reliability, automation, and observability, and contribute to engineering excellence and mentorship. The role involves microservices, API gateways, event streaming, container orchestration, DevOps, CI/CD, and debugging production systems. Bonus experience includes agentic AI applications, LLM frameworks, MCP servers, and startup product development.

Lead development and migration of digital contact center solutions to Amazon Connect. Build chat, chatbot, SMS, email, and WhatsApp experiences; develop secure widgets and portals; integrate CRM platforms; implement GenAI solutions with Bedrock and LLMs; and optimize routing, flows, security, scalability, and compliance.

Deploy, administer, and support enterprise Red Hat OpenShift and Kubernetes platforms across hybrid cloud environments. Responsibilities include cluster and node management, application onboarding, CI/CD integration, service mesh and registry administration, persistent storage, access control, automation with Ansible, GitOps with ArgoCD, monitoring, troubleshooting, and 24×7 rotational operations support.

Leads and develops engineering teams delivering cloud-native and AI-enabled solutions. Responsibilities include people management, coaching, technical decision-making, software release delivery, hands-on coding, stakeholder collaboration, resource planning, governance, and continuous improvement. The role requires guiding teams through complex technical challenges while ensuring alignment with security, risk, compliance, and engineering standards.

Leads software engineering processes and implementations focused on reliability, scalability, security, performance, and maintainability. Develops and integrates Java and Angular applications, microservices, event-driven architectures, and cloud or on-premise solutions. Collaborates with infrastructure and cross-functional teams, evaluates technologies, supports solution design, estimates project costs, develops automated tests, troubleshoots issues, and applies CI/CD and software development best practices.

Leads end-to-end quality engineering for SaaS applications by designing and maintaining automated testing frameworks, integrating quality checks throughout the software development lifecycle, and applying security, accessibility, performance, regression, and exploratory testing. Collaborates with cross-functional teams, promotes shift-left practices, improves quality processes, and mentors engineers.

Design, build, and support full-stack websites, applications, and APIs. Lead architecture and software lifecycle practices, including testing, deployment, security, and production support. Experiment with AI-assisted development, contribute to pre-sales and solution design, collaborate with product and delivery teams, and mentor engineers through reviews and technical guidance.

Designs and leads enterprise network architecture across corporate, cloud, financial institution, hybrid, and B2B environments. Responsibilities include multi-cloud connectivity, security architecture, network standards, automation, infrastructure modernization, disaster recovery, compliance, vendor evaluation, and technical governance. Serves as the highest-level networking authority, resolves complex issues, advises senior leadership, and mentors engineering teams.

Leads the design, development, and delivery of scalable software solutions using Java, Spring Boot, microservices, cloud platforms, and modern DevOps practices. Responsibilities include architecture design, technical governance, Agile collaboration, production deployments, troubleshooting, mentoring engineers, and managing technical risks. The role requires hands-on development across backend, frontend, databases, APIs, containers, CI/CD pipelines, messaging, and cloud infrastructure.

Lead the design, automation, and operation of CI/CD pipelines and cloud infrastructure across development, QA, and production environments. Manage AWS and on-premises resources using infrastructure as code, improve reliability and availability, optimize costs, enforce security practices, troubleshoot platform issues, and support development and QA teams. The role also includes documentation, training, capacity planning, cross-functional collaboration, and participation in 24/7/365 operational rotations.

Manage enterprise backup and recovery environments using Veritas NetBackup and Commvault. Monitor and troubleshoot backup, restore, replication, storage, and performance issues; conduct disaster recovery tests; maintain security controls, capacity, compliance, and platform health. Automate operational tasks with scripting and APIs, support cloud and infrastructure teams, manage ITIL processes, document recovery procedures, and drive continuous improvements across backup resilience, modernization, and operational standardization.

Manage and maintain large Microsoft-based server environments, including Active Directory, IIS, and SQL Server. Troubleshoot infrastructure issues, administer backups and patches, support disaster recovery, optimize capacity and database performance, and design future infrastructure solutions. The role also involves security incident support, documentation, automation, stakeholder collaboration, and after-hours on-call support.

Provides technical leadership and hands-on administration for enterprise SQL Server databases across on-premises and AWS environments. Responsibilities include database architecture, performance engineering, query and T-SQL optimization, production support, high availability, disaster recovery, cloud migrations, automation, CI/CD, Infrastructure as Code, monitoring, security governance, and modernization. The role also leads incident resolution, establishes database engineering standards, and mentors engineering teams.

Designs, develops, and maintains infrastructure test automation and performance engineering solutions. Performs end-to-end performance, resiliency, recovery, scalability, and failover testing across cloud, container, and hybrid environments. Analyzes system metrics, bottlenecks, and test results; tunes applications and infrastructure; maintains monitoring tools; and supports root-cause analysis. Partners with engineering and project stakeholders, documents governance evidence, contributes to automation frameworks, and mentors junior team members.

Lead performance engineering strategy for critical enterprise applications and platforms. Develop and automate performance test scenarios, maintain traceability to requirements and defects, analyze test results, and drive defect remediation. Collaborate with architecture, development, infrastructure, and product teams on scalability, resilience, environments, and test data. Mentor engineers, improve testing frameworks and coverage, and influence performance-related technology decisions across distributed, cloud, database, and messaging environments.

Leads reliability engineering for a multi-application production estate in a regulated environment. Defines SLOs, SLIs, error-budget policies, observability standards, infrastructure-as-code and deployment practices. Drives incident response, blameless postmortems, durable remediation, self-healing automation, compliance, and secure operational engineering. Partners with product, engineering, operations, and agentic automation teams while mentoring senior engineers and influencing technical standards as a senior individual contributor.