Top AWS Jobs in Hyderabad

Designs and delivers scalable technology architectures for cloud-native, SaaS-centric platforms. Advises business, product, executive, and development leaders; translates business needs into implementable architecture solutions; documents technical designs and patterns; mentors Agile teams; promotes technology standards, innovation, quality, and continuous process improvement. Requires strong software engineering, distributed systems, cloud, database, infrastructure, and architecture expertise.

Lead Planner engineering at Microsoft IDC, owning roadmap, architecture, and operations for AI-powered project management and collaboration services. Manage 100+ engineers and multiple managers, drive scalability, reliability, security, CI/CD, observability, incident response, and cross-team partnerships to deliver global launches and AI integrations.

Lead end-to-end full-stack application development using ReactJS, Java Spring Boot, AWS, PostgreSQL, and CI/CD practices. Design responsive user interfaces, REST APIs, cloud-native services, secure authentication, and microservices. Use AI-assisted development tools to accelerate delivery, improve quality, and support testing. Manage containerized deployments, monitor application performance, participate in Agile ceremonies, conduct code reviews, and collaborate with stakeholders to deliver scalable solutions.

Seeking a Senior Network Engineer with extensive experience in enterprise and cloud networking, network security, and hybrid infrastructure. Responsibilities include designing and troubleshooting secure network architectures, handling incidents, and collaborating with teams.

Designs and leads scalable backend systems, distributed services, and data-processing pipelines for high-volume e-commerce products. Responsibilities include setting architecture and technical roadmaps, solving complex system problems, driving reliability and best practices, collaborating across global engineering teams, handling critical issues, and leading mission-critical projects. The role requires extensive software development experience with Java and Python, AWS cloud expertise, scalable system design, container-based testing, and Java Spring development.

Designs and develops large-scale AWS-hosted React and Java enterprise applications using Spring Boot, REST APIs, and microservices. Provides technical leadership through architecture, code reviews, coaching, technical-debt reduction, and delivery oversight. Collaborates with cross-functional, cloud infrastructure, testing, and offshore/onshore teams in an Agile environment. Supports environment maintenance, automation, and development of user-friendly single-page applications.

Develop and deploy backend services and APIs for Evernorth’s Provider Engineering organization. Responsibilities include translating business requirements into production software, building RESTful and event-driven systems, working with Java, Node.js, Python, AWS, SQL, and NoSQL databases, implementing API security, monitoring applications, writing modular code, and promoting automation, CI/CD, quality, and continuous improvement within agile teams.

Leads software engineering teams developing enterprise data and analytics solutions. Responsibilities include designing ETL processes, researching and validating proofs of concept, optimizing existing systems, ensuring data integrity through testing, collaborating across teams, documenting technical solutions, and delivering production-ready applications. The role requires GenAI and LLM development experience, Python and REST API development, Kubernetes/OpenShift infrastructure knowledge, and CI/CD expertise.

Lead end-to-end full-stack development using Java, Spring Boot, React, REST APIs, microservices, SQL, and enterprise integrations. Design architectures and APIs, implement authentication, review code, write tests, troubleshoot production issues, and improve application performance and security. Mentor developers, collaborate across product and engineering teams, participate in Agile ceremonies, and explore AI-assisted development and Agentic AI solutions.

Develop and support AI-driven API management and observability security products using Agile practices. Own features end to end from incubation through delivery, collaborate with architects, ensure software quality, security, scalability, performance, testing, and documentation, and mentor junior engineers. Apply Java, cloud, container, REST, distributed-systems, and modern AI-assisted development techniques while troubleshooting complex systems and reviewing code.

Develop and support AI-driven security products for API management and observability. Own features end to end from incubation through delivery, collaborate with architects, apply Agile SDLC, testing, security, scalability, CI, and documentation practices, assess performance, troubleshoot complex systems, mentor junior engineers, and review AI-generated code for quality and architectural alignment.

Design, deploy, automate, monitor, and maintain scalable AWS cloud infrastructure. Implement IaC, scripting, and CI/CD automation; respond to incidents and on-call rotations; enforce security and compliance; optimize performance and costs; collaborate with development and IT teams and maintain operational documentation.

Design, develop, deploy, and support scalable cloud-native applications and data solutions for investment technology. Analyze production issues, participate in architecture decisions, conduct code reviews, and promote secure, high-quality engineering practices. Collaborate with global stakeholders to translate business requirements into technical solutions, mentor junior engineers, and improve reliability, scalability, performance, automation, and productivity through AI-assisted development.

Leads the design, development, and delivery of scalable cloud-native web applications and microservices. Responsibilities include API and full-stack development, performance and stability improvements, design and code reviews, technology prototyping, CI/CD automation, cross-functional collaboration, and mentoring engineers. The role also requires building GenAI applications using LLM integration, RAG pipelines, agent-based architectures, and orchestration frameworks while supporting legacy platform transitions.

Lead and manage global engineering teams to deliver enterprise software products. Own engineering quality, metrics, resource allocation, and delivery priorities. Drive Agile delivery, modernization, CI/CD and cloud adoption (Azure/AWS), oversee legacy-to-microservices transitions, and report engineering productivity to VP Engineering while fostering collaborative, high-performing teams.

Lead the design, development, and delivery of scalable cloud-native web applications and microservices. Build APIs and services, diagnose performance and stability issues, lead design and code reviews, coordinate with cross-functional technical teams, introduce new technologies, and mentor engineers. The role also requires full-stack expertise, cloud and CI/CD experience, legacy platform transition support, and hands-on development of GenAI applications using LLMs, RAG, and agent-based architectures.

Designs and operates resilient enterprise networks across on-premises data centers, AWS, and Azure. Leads hybrid-cloud connectivity, data center consolidation, migration cutovers, routing and switching, firewalls, load balancers, SD-WAN, observability, troubleshooting, and network automation. Develops infrastructure-as-code using Terraform and Ansible, strengthens security and compliance, documents architectures, coordinates cross-functional teams across US and India, supports on-call operations, and mentors junior engineers.

Design, build, and optimize scalable full-stack applications and microservices. Lead architecture, mentor engineers, implement front-end (React/Angular/Vue) and backend (Java/Node/Python/Go) services, integrate databases, cloud platforms, containerization, CI/CD, and ensure availability, security, and performance.

Designs and delivers enterprise infrastructure automation using Ansible, Puppet, Python, PowerShell, and Bash across cloud, on-premises, and hybrid environments. Automates provisioning, patching, configuration, compliance, deployments, and drift remediation. Integrates automation with APIs and CI/CD pipelines, develops reusable modules, troubleshoots failures, and supports secure, auditable operational practices. Requires collaboration on technical designs, implementation plans, testing, monitoring, and production rollouts.

Design, build, and maintain automated infrastructure as code (Terraform) and CI/CD pipelines. Deploy scalable cloud architectures across AWS/Azure/GCP, manage containerized workloads with Docker/Kubernetes, automate configuration with Ansible/Packer, and integrate security into IaC workflows.

The Senior Staff Software Engineer will lead the architecture of the agentic platform, define shared service designs, partner with teams for reusable capabilities, provide technical leadership, and implement cost-management and evaluation pipelines.

As a Staff Software Engineer, you will develop backend services for the agentic platform, integrating AI capabilities and ensuring system reliability, security, and developer usability.

Design, build, and maintain secure, scalable platform infrastructure and CI/CD pipelines. Deploy and manage cloud and container platforms, implement observability and DevSecOps practices, provide L2/L3 operational support, perform RCA, and mentor engineers to drive platform reliability, automation, and modernization initiatives.

Own incident resolution and root cause analysis for cloud-deployed applications. Monitor performance, troubleshoot issues, script automation with Python/SQL, support stakeholders, maintain documentation, and improve support processes with security and cost-awareness.

Install, configure, maintain, and patch Oracle, SQL Server, MySQL, PostgreSQL, and MongoDB. Manage dev/test/prod environments, capacity planning, backup/restore, HA/DR, security, monitoring, and performance tuning. Provide Level 2 support, troubleshoot deadlocks, replication failures, and data corruption, and perform root-cause analysis. Work with cloud platforms (AWS/Azure).