Top AWS Jobs in Hyderabad

Lead the design, development, and maintenance of scalable .NET microservices across Azure and AWS. Establish CI/CD, automated testing, infrastructure as code, and cloud optimization practices. Diagnose application issues, improve scalability and availability, and provide technical leadership through architecture, code reviews, design documentation, mentoring, and proof-of-concept development. Build solutions using Kubernetes, Cosmos DB, Azure services, modern front-end frameworks, AI tools, and RESTful APIs.

Build and operate high-scale distributed systems and microservices for Zscaler’s cloud security platform. Provide architectural guidance, establish coding, testing, observability, and CI/CD best practices, and lead cross-team initiatives focused on performance, reliability, and technology adoption. The role requires Java development, cloud infrastructure knowledge, database expertise, identity and access management experience, and familiarity with AI/ML and agentic AI workflows.

Leads multiple software engineering teams delivering and supporting enterprise applications. Oversees architecture, development, testing, deployment, modernization, cloud transformation, operational excellence, security, compliance, incident management, and AI-enabled engineering practices. Manages engineering capacity, budgets, vendors, roadmaps, and stakeholder communication while developing managers and senior technical talent. Drives delivery, quality, application stability, customer satisfaction, and continuous improvement across strategic technology initiatives.

Lead the architecture and modernization of C#/.NET test automation for Kubernetes-based distributed applications. Design reusable test libraries, API and integration testing, CI/CD quality gates, diagnostics, and resilience validation. Investigate complex failures using logs, metrics, traces, and Kubernetes evidence. Establish risk-based testing strategies, reduce flaky tests, improve execution efficiency, influence product testability, and mentor engineering teams across the organization.

Build and maintain full-stack features using React, Next.js, TypeScript, Java, and Spring Boot. Develop secure REST APIs, real-time analytics interfaces, dashboards, and data visualizations. Integrate Databricks and SQL-based platforms, optimize scalability, implement automated testing, and support Kubernetes-based cloud deployments. Collaborate with data engineers, product managers, designers, and stakeholders while contributing to architecture, observability, code reviews, and continuous engineering improvement.

Lead a team of 6–8 software engineers building scalable, secure, highly available distributed systems for Zscaler’s cloud security platform. Oversee software design and delivery, guide microservices development, monitor and optimize system performance, troubleshoot complex reliability issues, and collaborate with product and engineering leaders to translate technical goals into measurable outcomes.

Leads the design, development, and delivery of secure, scalable software solutions using Java, Scala, cloud platforms, distributed systems, and modern architecture patterns. Builds AI-enabled applications and agentic workflows, mentors engineers, drives architecture decisions, improves operational stability, and ensures quality through automated testing and continuous validation. Collaborates across business and technology teams to deliver enterprise platforms.

Develop and scale C#/.NET test automation for DryvIQ’s Kubernetes-based distributed applications. Build API, integration, system, UI, regression, and end-to-end coverage; improve frameworks, reusable utilities, diagnostics, test data, and CI/CD integration. Validate microservices, asynchronous workflows, deployments, upgrades, recovery, and enterprise integrations. Diagnose complex failures using logs and system evidence, collaborate with engineering and QA teams, contribute to Python/PyTest tooling, and provide technical guidance.

Monitor application and infrastructure health using Dynatrace, Splunk, and Zabbix; triage and troubleshoot P1/P2 incidents; perform root cause analysis; investigate Java, Spring Boot, REST API, deployment, and performance issues; coordinate escalations; document incidents; communicate status updates; and improve monitoring, alerting, and operational processes.

Monitor application and infrastructure health using Dynatrace, Splunk, and Zabbix; triage P1/P2 incidents; troubleshoot Java Spring Boot microservices, deployments, APIs, and Kubernetes environments; analyze logs, traces, and metrics; perform root cause analysis; coordinate escalations; document incidents; and improve monitoring and alerting processes.

Develop and support mobile software features and flexible services in a collaborative agile team. Troubleshoot issues across operating systems, databases, applications, JavaScript, and networks. Design microservices and APIs, write unit tests, support production systems, follow technology trends, and mentor engineers. The role requires hands-on full-stack development using Java, AWS, SQL, and React or Angular, along with technical decision-making, collaboration, training, and a strong focus on software quality.

Lead architecture and development of highly distributed, enterprise-scale cloud security systems. Establish coding, testing, observability, and CI/CD standards; guide technical decisions; and drive cross-team initiatives in performance, reliability, and technology adoption. Build Java and Go services using microservices, databases, cloud infrastructure, identity and access management, and fault-tolerant distributed systems. Apply AI/ML and agentic AI technologies to improve engineering outcomes.

Leads the architecture, development, deployment, monitoring, and support of scalable Python backend platforms, APIs, microservices, document-processing workflows, and cloud integrations. Owns complex technical initiatives, production reliability, testing, security, observability, and performance optimization. Collaborates across product, security, DevOps, QA, architecture, and business teams while mentoring engineers. The role also applies AI-assisted development, LLMs, and agentic workflows to regulated healthcare and business processes.

Supports the setup, deployment, configuration, administration, troubleshooting, and lifecycle management of Apigee API platforms and supporting infrastructure. The role improves platform availability, performance, scalability, security, and reliability; partners with engineering, infrastructure, operations, and security teams; supports API onboarding; maintains documentation and runbooks; participates in upgrades, disaster recovery exercises, monitoring, and ITIL-aligned change and incident management.

Leads DevOps strategy and transformation across an enterprise transmission software portfolio. Defines CI/CD, release engineering, DevSecOps, cloud-native, infrastructure-as-code, observability, automation, and platform engineering standards. Modernizes legacy delivery processes, improves developer productivity and deployment reliability, establishes engineering metrics, and mentors technical teams while collaborating across engineering, product, cybersecurity, infrastructure, and quality organizations.

Staff Database Engineer responsible for operating, maintaining, securing, and optimizing databases across production and non-production environments. Duties include AWS and OCI database services, high availability, disaster recovery, migrations, patching, automation with Terraform and CloudFormation, monitoring, troubleshooting, performance optimization, vendor coordination, architecture documentation, and production change management in a 24/7 environment.

Designs, deploys, and manages enterprise network and network security infrastructure across on-premises and multi-cloud environments. Responsibilities include routing, switching, firewalls, load balancing, wireless, SASE, zero-trust, VPNs, SDN, automation, observability, and infrastructure-as-code. The role resolves escalated network and cloud issues, leads large-scale migrations, manages vendors, develops architecture documentation, and collaborates with cross-functional technical teams.

Designs, develops, and scales secure full-stack products using Java or Kotlin, React, cloud-native services, Docker, Kubernetes, and AWS. Leads architecture for backend systems, microservices, data pipelines, and distributed platforms while implementing DevSecOps, CI/CD, testing, observability, and reliability practices. Provides technical leadership, mentorship, code reviews, incident response, and cross-functional collaboration with product and design teams.

Build and support enterprise APIs, MuleSoft integrations, AI agents, MCP connectivity, and API security capabilities. Contribute to governance, access controls, monitoring, CI/CD, automated testing, deployment automation, production support, troubleshooting, and root-cause analysis. Collaborate with application, data, security, and AI teams while maintaining documentation and operational runbooks.

The Lead Software Engineer at Salesforce is responsible for developing scalable components, writing production-ready code, mentoring junior engineers, and managing the software development lifecycle in a multi-tenant SaaS cloud environment.

Lead backend system design, development, optimization, and integration. Build APIs, integrate data sources, ensure security and scalability, maintain documentation, support deployments, mentor developers, and participate in SDLC activities and cross-functional collaboration.

Lead a team developing enterprise-grade Java full-stack applications across design, architecture, implementation, deployment, and support. Mentor engineers, conduct code reviews, guide technical decisions, collaborate with product and QA teams, manage CI/CD and DevOps efforts, support Agile planning, and oversee production delivery. The role requires extensive Java, Spring Boot, REST, React or Angular, database, cloud, microservices, containerization, testing, and observability expertise.

Develop and execute automated performance tests based on non-functional requirements. Maintain test scenarios, traceability, environments, and test data; track defects and report results. Support delivery pipeline adoption, performance analysis, scalability improvements, and technical reviews across distributed, mainframe, cloud, and containerized systems. Collaborate with development and architecture teams, model performance metrics, and mentor team members on performance testing and coverage.

Own end-to-end development of scalable, reliable full-stack systems, including cloud-native backend services, APIs, and modern frontend interfaces. Design and deploy AWS infrastructure, integrate AI/ML technologies such as LLM agents and RAG pipelines, improve observability and performance, and manage the full software development lifecycle. Collaborate cross-functionally, mentor engineers, reduce technical debt, and deliver secure, high-quality systems independently.

Build and ship production-ready software using AI-native engineering practices. Design, implement, test, maintain, and support scalable Java full-stack applications and distributed systems. Lead architecture and code reviews, improve system quality, investigate new technologies, and collaborate across teams. The role includes mentoring developers, working with cloud infrastructure and DevOps toolchains, debugging complex systems, and translating AI, automation, and LLM innovations into business and productivity impact.