Top AWS Jobs in Hyderabad

Leads the design, implementation, testing, maintenance, and troubleshooting of enterprise middleware and messaging infrastructure. Manages Solace PubSub+, IBM MQ, and Confluent Kafka platforms, including migrations, upgrades, clustering, disaster recovery, security, certificates, monitoring, performance tuning, and automation. Develops operational documentation, runbooks, risk controls, and long-term remediation plans while supporting highly available production environments and collaborating with technology and business stakeholders.

Design, develop, test, deploy, and operate production backend services and APIs using Go, Python, AWS, and Terraform. Build event-driven cloud systems, telemetry and analytics pipelines, and secure infrastructure. Own features through monitoring and incident resolution, investigate customer escalations, improve CI/CD and observability, and perform root-cause analysis. Collaborate across global teams, contribute to on-call practices, review code, guide engineers, and improve reliability and operational automation.

Lead design, development, testing, deployment, and support of scalable full-stack web and cloud-native applications. Build REST APIs and microservices, drive performance, security, observability, and operational excellence. Lead technical design, code reviews, mentor engineers, collaborate with product/DevOps/architecture, and support Agile delivery and CI/CD practices.

Develop secure, scalable Java microservices for JPMorgan Chase’s acquisition platform. Responsibilities include requirements clarification, low-level design, coding, peer reviews, automated testing, production troubleshooting, root-cause analysis, NFR implementation, cloud adoption, and use of AI-assisted development tools. The role also involves analyzing large datasets and supporting production services against performance metrics such as SLIs and SLOs within an agile team.

Design, develop, deploy, and maintain cloud-native microservices using Java/Python on AWS. Build containerized applications with Docker/Kubernetes, implement CI/CD pipelines, script automation in Bash/Python, use enterprise AI-assisted tooling responsibly, and work within Agile (Scrum/TDD) practices.

Build and maintain a secure, scalable KYC and risk-assessment data platform. Develop production-quality data-intensive code, create reusable frameworks, advise cross-functional teams, apply cloud-native and big-data tooling, and use SDLC and enterprise AI-assisted development to automate and improve delivery.

Lead development of secure, scalable Java and cloud-native software products. Provide technical guidance, write and review production code, lead AI-assisted engineering adoption, and drive software lifecycle automation. Design and migrate microservices, APIs, and databases in production while ensuring observability, SRE, testing, security, and operational excellence. Lead small teams, influence broader engineering organizations, mentor engineers, and own technical estimates, timelines, and delivery outcomes.

Develops and operates high-volume Java backend services using AWS, focusing on scalability, reliability, performance, and secure coding. Responsibilities include software design, development, troubleshooting, testing, observability, CI/CD, system design participation, and operational stability. The role collaborates with product stakeholders, applies responsible AI-assisted development tools, validates generated code, supports security and compliance requirements, and contributes to continuous codebase improvement within an agile environment.

Design, develop, and maintain scalable, secure full-stack web applications using React/Angular front ends and Java/Python/Node.js backends. Build RESTful APIs and microservices, work across cloud platforms (Azure/AWS/GCP), support CI/CD and containerization, participate in architecture and code reviews, troubleshoot production issues, and mentor junior engineers.

Lead technical design, develop secure high-quality production code, drive automation and CI/CD, mentor teams on AI-assisted engineering, ensure operational stability, manage stakeholders, and evaluate vendor/architectural solutions within financial services.

Lead an agile engineering team to design, build, and deliver cloud-native, microservices-based applications. Provide hands-on development, architecture, code review, operational support, CI/CD and resiliency practices, and drive secure, enterprise adoption of AI-assisted engineering tools while mentoring engineers and collaborating with stakeholders.

Design, build, and operate Kubernetes platform components and core subsystems using Go. Own end-to-end delivery, production readiness, on-call/incident response, and integration with hyperscalers while meeting compliance constraints (FedRAMP). Collaborate with dependent teams to shape workload runtime and platform automation.

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.

Design and maintain reliable, scalable, and secure AWS infrastructure using Terraform and automation scripts. Manage monitoring, logging, alerting, CI/CD, container orchestration, incident response, and performance optimization. Collaborate with development, operations, and security teams, participate in on-call rotations, enforce cloud security practices, document systems, and responsibly use AI-assisted engineering tools.

The Sr. Observability Engineer at Micron will manage and support monitoring tools, ensure system reliability, perform incident resolution, and maintain performance standards.

Provides technical vision and hands-on leadership for scalable backend platforms within a data and analytics organization. Designs distributed systems, microservices, APIs, data models, libraries, SDKs, and cloud-native architectures using Java and AWS. Leads reliability, performance, security, observability, testing, and compliance practices while mentoring engineers and shaping technology roadmaps. Drives adoption of agentic AI-enabled development workflows with governance, validation, auditability, and security guardrails across geographically distributed teams.

Develops secure, scalable Java software within an agile data technology team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, system monitoring, and operational stability. The role uses AWS, Spring, microservices, Kafka, Camunda, React or Angular, CI/CD tools, and AI-assisted development tools while promoting secure, responsible engineering practices.

Design, build, and operate AWS cloud infrastructure using IaC (Terraform/CloudFormation), CI/CD pipelines, container platforms (Kubernetes/ECS), and managed databases (MongoDB Atlas). Implement monitoring, security best practices, support Spring Boot applications, provide developer self-service, participate in on-call rotations, and resolve production incidents.

Provides enterprise-level technical leadership and advisory support across software, cloud, security, and infrastructure technologies. Leads resolution of complex, large-scale engineering challenges; translates business and technology strategy into scalable solutions; guides leadership on innovation and best practices; and supports cloud-native Java applications, CI/CD, security scanning, containers, and cloud platforms.

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 support full-stack solutions for customer acquisition and account origination, including Java/Spring Boot microservices, REST APIs, and React or Angular interfaces. Build secure, scalable, and reliable systems; write automated tests; improve CI/CD and engineering practices; troubleshoot production issues; and contribute to architecture and design reviews. Collaborate with Product, Design, and Data teams in an Agile environment, mentor engineers, and responsibly use enterprise-authorized AI development tools.

Design, build, and support full-stack solutions for customer acquisition and account origination, including Java/Spring Boot services, REST APIs, microservices, and React or Angular interfaces. Improve reliability, performance, CI/CD, testing, observability, and secure development practices. Collaborate with Product, Design, and Data teams in Agile delivery, participate in architecture and code reviews, troubleshoot production issues, mentor engineers, and apply enterprise-authorized AI development tools responsibly.

Lead architecture and implementation of high-scale, distributed cloud-native services using Go/Java. Drive best practices for coding, testing, observability, and CI/CD. Improve performance, reliability, and cross-team delivery while leveraging cloud platforms, databases, and streaming/data infrastructure to support a multi-tenant security platform.

Lead a team of engineers to build and operate cloud-native services for ransomware detection, ensuring system reliability and security.

Lead and grow a platform engineering team focused on developer experience, DevOps, SRE, and quality. Own internal developer platform strategy and roadmap, improve CI/CD, IaC, containers, observability, incident response, release guardrails, environment stability, and test automation. Provide technical leadership, drive engineering efficiency, and hire/retain top talent.