Top AWS Jobs in Hyderabad

Designs, develops, and maintains automated testing frameworks and processes. Executes automated test cases, analyzes results, troubleshoots scripts, and reports findings. Collaborates with cross-functional and distributed teams, contributes to technical solutions, and supports Agile SDLC and STLC practices. Requires strong Java, Selenium, Cucumber, Serenity, API automation, CI/CD, and debugging skills, with preferred experience in AWS, Docker, EKS, databases, Kafka, Spring, and REST services.

Design, develop, and maintain high-performance C#/.NET microservices, data pipelines, storage solutions, and external integrations for AI-driven healthcare payment products. Ensure distributed systems are secure, scalable, reliable, observable, and performant. Collaborate with product, architecture, AI, and data teams globally, contribute to technical strategy, mentor engineers, and conduct code reviews. Requires extensive backend engineering experience with SQL/NoSQL databases and cloud platforms.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.

Leads Twilio Segment’s data platform and pipeline engineering team, building high-scale ingestion, routing, and distributed data-processing systems. Responsibilities include architecting reliable cloud systems, guiding technical decisions, improving cost and performance, mentoring engineers, driving agile and automation practices, and translating technical strategy for stakeholders. The role requires managing software teams, overseeing multiple workstreams, and maintaining operational excellence across highly available systems processing large volumes of data.

Provides hands-on technical leadership for mission-critical liquidity and cash management platforms. Responsibilities include designing and implementing complex software, guiding architecture decisions, mentoring engineers, ensuring engineering quality, owning production support and reliability, leading incident response, partnering with investment stakeholders, and driving cloud-native modernization. The role requires backend and full-stack development, distributed systems expertise, and strong AWS and DevOps experience.

Leads a 20–25-person engineering organization responsible for software delivery and Production Support Operations across critical pharmacy platforms. Oversees application stability, incident and problem management, service reliability, modernization, automation, observability, and AI-enabled operations. Partners with product, architecture, engineering, and AI teams to deliver Java- and AWS-based capabilities, manage vendors and global teams, track operational KPIs, lead major incidents, and drive continuous improvement.

Leads the design, development, testing, optimization, and delivery of Angular applications supported by AWS cloud services. Responsibilities include implementing serverless and cloud-native solutions, integrating APIs, maintaining security and resilience, managing deployments, supporting production systems, and promoting engineering quality. The role collaborates with product, design, and backend teams, leads architectural and code reviews, communicates technical decisions, and mentors developers.

Designs, builds, and operates scalable AWS cloud platforms focused on EKS and containerization. Develops infrastructure as code with AWS CDK, CI/CD pipelines with GitHub Actions, and automation using YAML and PowerShell. Supports AWS, Azure, Windows, and .NET workloads; implements cloud security, DevSecOps, scanning, observability, and compliance practices. Collaborates across engineering, security, and architecture teams while leading responsible AI adoption using AWS Bedrock and Copilot tools.

Designs and manages resilient cloud infrastructure focused on reliability, security, scalability, and cost efficiency. Builds monitoring and alerting systems, applies SLI/SLO/SLA practices, automates provisioning and operational workflows, participates in incident response and root-cause analysis, and implements permanent reliability improvements. Collaborates with engineering and cross-functional teams on cloud solutions, tooling, proofs of concept, standardization, and operational resilience across cloud and on-premises environments.

Own reliability, availability, performance, observability, and operational excellence for an Agentic AI ERP platform. Operate Kubernetes environments and AI platform components, lead incident response and root-cause analysis, establish SLIs, SLOs, and error budgets, and improve resilience, scalability, disaster recovery, and automation. Support cloud-hosted, customer-hosted, and air-gapped deployments while collaborating with platform, AI, product, DevOps, and security teams.

Provides production application support for critical financial-market applications. Responsibilities include incident resolution, root-cause prevention, monitoring automation, application deployments and upgrades, disaster recovery execution, audit responses, runbook maintenance, risk controls, and collaboration with development, infrastructure, vendors, and business teams. The role also supports production defects, minor enhancements, and application design and development activities.

Lead operational support for SnapLogic and dbt data integration pipelines, including monitoring, incident response, root-cause analysis, SLA management, performance optimization, and release coordination. Manage a small support team, on-call rotations, ticket triage, runbooks, and operational metrics. Partner with client stakeholders and data platform teams to prioritize issues, communicate status, and deliver permanent fixes.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Lead architecture and technology vision, drive engineering innovation, build scalable cloud-native products, create frameworks and policies, mentor senior engineers, and oversee multiple technical initiatives while ensuring operational excellence and SRE principles.

Lead and architect full‑stack solutions, guide a scrum team, design and deliver features, improve CI/CD and DevOps, ensure production health, mentor engineers, and uphold secure, test-driven engineering practices.

Designs, implements, and operates cloud platforms; monitors and optimizes performance; automates deployments and maintenance; ensures cloud security and compliance; administers patching, backups, and capacity management; troubleshoots issues and mentors teams to support hybrid cloud environments and cloud-based application development.

Develop and maintain full-stack applications using Java, Spring Boot, REST, database technologies, and modern front-end frameworks. Work on greenfield engineering initiatives, AWS cloud solutions, asynchronous processing, WebSockets, authentication, CI/CD pipelines, testing, and UI interoperability. Apply engineering best practices including code reviews and branching strategies, while collaborating through Jira, Confluence, Git, Maven, and Jenkins. Blockchain experience and AWS certification are advantageous.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

Build, test, deploy, and maintain production automations using n8n, custom code, AI models, APIs, and PostgreSQL pipelines. Identify high-value automation opportunities, integrate unfamiliar systems, validate data integrity, manage CI/CD, monitor reliability and cost, respond to incidents, and resolve recurring failures. Collaborate with stakeholders and audit teams on security, compliance, and process quality while researching emerging automation and AI technologies.

Lead Software Engineer responsible for designing high-performance Java applications, mentoring developers, and implementing DevOps practices while optimizing software delivery pipelines.

As a Product Engineer intern, you will participate in the software development lifecycle, focusing on technical design, implementation, and optimization of solutions. You'll collaborate with various teams to understand customer needs and improve product performance.

The DevOps Tech Lead will manage a Kubernetes platform, automate infrastructure deployment, and enhance developer workflows while ensuring scalability and availability.

Define and govern retail technology architecture across applications, data, infrastructure, security, and AI. Drive cloud strategy, integration patterns, legacy modernization, vendor evaluations, architecture governance, and AI/GenAI adoption. Mentor architects and ensure scalable, secure, cost-effective solutions aligned to retail business goals and peak-event resilience.