Top AWS Jobs in Hyderabad

Leads a team in designing, developing, testing, deploying, and maintaining scalable full-stack applications. Provides technical leadership and mentorship, drives frontend and backend architecture decisions, conducts code reviews, resolves complex technical issues, collaborates with product and design stakeholders, and improves development processes. The role participates throughout the software development lifecycle and evaluates emerging technologies for adoption.

Own the roadmap connecting ChangeMan mainframe change management with Git-native workflows, VSCode tooling, CI/CD, and platform engineering. Design branching, merge, pull request, GitOps, and trunk-based development models; build a control plane connecting mainframe and open-systems delivery targets; and partner with mainframe teams to maintain synchronization.

Leads QA strategy and automation for complex software systems, including functional, regression, integration, performance, security, and end-to-end testing. Designs and maintains automated frameworks, analyzes results, drives root-cause resolution, mentors QA engineers, and collaborates with development, DevOps, and product teams. The role also advances QA processes, supports compliant releases, and contributes to continuous improvement using Agile/Scrum practices.

Leads software quality assurance for complex systems by defining test strategies, mentoring QA engineers, developing automated frameworks, and conducting functional, regression, integration, performance, and security testing. Collaborates with development, DevOps, and product teams to support high-quality releases, analyzes test results, drives process improvements, and ensures applicable standards and regulatory compliance.

Develop and support AI-driven security products for API management and observability. Own features end to end, from requirements and architecture through implementation, testing, performance optimization, deployment, and support. Use Agile, CI, secure development, scalability, and documentation practices. Collaborate with architects and technical leaders, review AI-generated code, mentor junior engineers, and drive quality across complex distributed systems.

Design, implement, and maintain secure cloud network solutions across AWS, Azure, and private clouds. Define standards and automation for network infrastructure, monitor and optimize performance, remediate vulnerabilities, collaborate with application and security teams, support incident response, mentor junior staff, and produce network documentation and stakeholder reports.

Leads QA strategy and a team of QA engineers while designing and maintaining automated test frameworks. Performs functional, regression, integration, performance, security, and end-to-end testing; analyzes results and root causes; collaborates with development, DevOps, and product teams; and drives continuous improvement and compliance.

Design and engineer resilient Db2 data platforms, including high availability, disaster recovery, replication, failover, observability, and automation. Build Infrastructure-as-Code, CI/CD, monitoring, dashboards, and self-service capabilities while partnering with application, infrastructure, cloud, and database teams. Support recovery exercises, failover testing, root cause analysis, operational readiness, and platform modernization for mission-critical enterprise services.

The Site Reliability Engineer will improve the availability, performance, resilience, and compliance of digital banking platforms. Responsibilities include defining SLOs and error budgets, managing CI/CD pipelines, implementing safe deployments, maintaining disaster recovery procedures, monitoring production systems, responding to incidents, conducting postmortems, supporting audits, and coordinating reliability risks across engineering, QA, security, compliance, and operations teams.

Owns the design, development, modernization, deployment, and operation of production software systems. Responsibilities include incrementally decomposing monoliths into scalable services, maintaining API and data compatibility, improving reliability and performance, implementing automated testing, operating AWS cloud services, monitoring production systems, participating in 24/7 on-call, and using AI-assisted development tools.

Leads engineering strategy, architecture, solution design, delivery planning, testing practices, and technical quality for web, mobile, and cloud solutions. Partners with customers, business stakeholders, and global delivery teams; mentors engineers; manages projects, estimates, vendors, budgets, and priorities; and supports talent acquisition, development, and retention. Advises executives and customers on technology strategy, performance, costs, and differentiated digital solutions.

Leads and develops a software engineering team responsible for Redwood’s workload automation platform. The role includes people management, mentoring, technical strategy, Java and Spring Boot architecture, platform delivery, cloud infrastructure, Kubernetes and EKS operations, DevOps, security, observability, and AI/ML integration. The manager also oversees sprint execution, hiring, team productivity, scalable SaaS development, enterprise file transfer capabilities, and integrations with platforms such as SAP.

Provides principal-level technical leadership for Redwood’s workload automation platform. Defines architecture, modernization strategy, engineering standards, security, compliance, observability, and scalable Java/Spring Boot microservices. Owns platform and cloud infrastructure evolution, promotes resilience and cross-team collaboration, mentors engineers, and guides technical initiatives. Researches AI/ML applications for managed file transfer and workload automation. Requires extensive experience with distributed SaaS systems, Kubernetes/EKS, AWS, DevOps, enterprise file-transfer protocols, and large-scale application integration.

Lead technical strategy and delivery for a cloud platform focused on reliability, scalability, security, and cost efficiency. Design reusable platform components, CI/CD and GitOps workflows, observability, incident response, and AI governance. Partner with architecture, SRE, DevOps, security, and product teams; own production reliability, compliance with healthcare security/privacy, and establish enterprise-ready frameworks for auditability and traceability.

Lead design and governance of secure, scalable multi-cloud and hybrid architectures. Define reference patterns, drive cloud migrations, implement IaC and observability, ensure security/compliance and operational excellence, and guide delivery teams on resiliency, cost optimization, and CI/CD enablement.

Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.

Lead enterprise backend architecture for scalable, distributed, cloud-native applications using Java, Spring Boot, and microservices. Define architecture standards, service boundaries, integration patterns, HLD/LLD designs, and cloud deployment strategies. Drive modernization, observability, CI/CD, security, performance, and resiliency initiatives across engineering teams. Provide technical leadership, conduct architecture and code reviews, mentor developers, and collaborate with stakeholders on technology roadmaps and enterprise solutions.

Owns Kubernetes-based development, CI, pre-production, and customer-facing production environments. Responsibilities include SRE operations, incident response, on-call support, Helm and CI/CD lifecycle management, infrastructure automation, observability, security, disaster recovery, stateful platform services, and multi-region deployments. The role also provides technical consultation, creates operational documentation, validates upgrades, and mentors engineers.

Support and enhance enterprise Redis platforms across development, disaster recovery, and production environments. Responsibilities include platform configuration, application onboarding, monitoring, troubleshooting, upgrades, automation, infrastructure as code, observability, disaster recovery, cloud modernization, documentation, and production support. The role partners with application, infrastructure, cybersecurity, and cloud teams to deliver secure, highly available, scalable distributed data services.

Leads systems engineering for middleware and distributed platforms, including OpenShift and Kubernetes deployments, CI/CD automation, cloud infrastructure, application onboarding, SSL certificate lifecycle management, security patching, performance monitoring, troubleshooting, and platform integration. Collaborates across teams to resolve technical issues, improve system reliability, and ensure applications meet performance and security standards.

Lead reliability, scalability, observability, automation, and incident response for a globally distributed, multi-cloud application platform. Build infrastructure-as-code solutions, optimize CI/CD pipelines, establish SLOs, troubleshoot Linux systems, and guide cross-functional teams in adopting SRE practices. The role requires hands-on engineering, technical ownership, and participation in an on-call rotation.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Build, secure, automate, and operate Databricks on AWS: provision workspaces and Unity Catalog, implement IaC (Terraform/CloudFormation), enable observability, optimize costs, support migrations and AI/ML workloads, automate deployments via CI/CD, and provide platform troubleshooting and stakeholder collaboration.

Lead reliability and automation for assigned products/platforms by owning SLIs/SLOs, implementing observability and monitoring, managing CI/CD pipelines and IaC, reducing operational toil through automation, leading incident response and on-call rotations, coordinating with Cloud Ops, and mentoring a team of engineers.

Develop and own highly scalable backend services for IoT, order, and payment systems. Responsibilities include Java and Python development, distributed systems design, database and cache optimization, event-driven architectures, production troubleshooting, observability, incident response, reliability improvements, and collaboration with Infrastructure, QA, and Product teams.