Top AWS Jobs in Hyderabad

Leads software engineering teams and owns end-to-end project delivery for US and North American clients. Responsibilities include technical roadmap oversight, Agile facilitation, architecture and quality coordination, risk management, stakeholder communication, reporting, account growth, team performance management, hiring, retention, and mentorship. The role requires managing 10–20 engineers and delivering projects involving AI/ML, data engineering, cloud-native applications, workflow automation, or digital transformation.

Develop and deploy scalable .NET applications for the retail CPG sector. Responsibilities include technical architecture, coding, performance optimization, secure implementation, mentoring junior developers, enforcing coding standards, and translating business requirements into cloud-native solutions using .NET Core, React, Web APIs, microservices, and cloud platforms.

Leads advanced cybersecurity assessments including penetration testing, vulnerability assessments, DAST, CIS Benchmark hardening, breach and attack simulation, and ransomware resiliency testing across infrastructure, applications, APIs, and cloud environments. Produces technical and executive reports, develops remediation guidance, researches emerging threats, and communicates findings to stakeholders. Requires extensive hands-on cybersecurity consulting experience, scripting skills, application security expertise, and relevant certifications.

Lead the end-to-end architecture and delivery of production multi-agent AI systems for automotive dealerships. Build orchestrated voice and chat agents, internal business workflows, MCP tools, RAG systems, guardrails, evaluation frameworks, observability, and LLMOps practices. Ensure reliable tool use, secure human approvals, low-latency realtime experiences, accurate live-data responses, and continuous improvement. Partner with product and platform teams, mentor engineers, and communicate AI risks and system performance to leadership.

Own cloud, corporate IT, identity, endpoint, monitoring, incident response, and compliance security. Harden AWS, GCP, or Azure environments; manage IAM, networking, secrets, logging, configuration baselines, SSO, MFA, RBAC, and MDM. Partner with engineering on secure development, vulnerability remediation, and infrastructure-as-code security. Implement SOC 2 and ISO 27001 controls, collect audit evidence, support vendor assessments, and deliver security awareness training.

Lead quality strategy for distributed backend infrastructure through chaos engineering, failure testing, performance testing, and reliability experiments. Build Jenkins CI/CD pipelines, manage Kubernetes test environments, automate fault-injection scenarios, define infrastructure reliability metrics and SLOs, analyze bottlenecks and failure patterns, and mentor junior QA engineers.

Architect and deploy scalable generative AI and autonomous agent solutions on AWS, specializing in AWS Bedrock, AgentCore, RAG, Knowledge Bases, and LLM integrations. The role leads AI platform engineering across model lifecycle management, infrastructure, security, performance, and cost optimization while translating enterprise requirements into secure technical architectures.

Designs and oversees scalable, secure cloud-native architectures using Java, AWS, microservices, Kubernetes, and containerization. Builds CI/CD pipelines, monitoring and observability frameworks, IAM and VPC security controls, and high-availability and disaster-recovery strategies. Collaborates with cross-functional teams to translate business needs into resilient cloud solutions and mentors development teams on cloud migration and optimization best practices.

Designs, deploys, and optimizes cloud-native infrastructure using Java, Spring Boot, AWS, and Docker. Builds CI/CD pipelines, automates infrastructure, secures AWS environments, and implements monitoring with Prometheus, Grafana, or OpenTelemetry. Develops high-availability and disaster recovery strategies, manages Helm-based application delivery and secrets, and improves system performance, reliability, compliance, and cost efficiency.

Designs, builds, and optimizes scalable ETL and ELT pipelines using Python and PySpark. Develops high-performance applications for large-scale data processing, integrates AWS data services, writes advanced SQL, and builds REST APIs. Ensures cloud-based data solutions are secure, scalable, highly available, and compliant while collaborating with cross-functional teams to deliver business-focused data engineering solutions.

Designs, develops, deploys, and maintains production-grade AI/ML solutions using deep learning, neural networks, AWS, and Amazon SageMaker. Responsibilities include building ML pipelines, developing chatbots and conversational AI, applying computer vision to image data, monitoring deployed models, and collaborating with teams to translate business needs into AI strategies. Requires 8–12 years of experience and expert-level AWS and machine learning expertise.

Designs and optimizes scalable data pipelines using Python and PySpark, develops secure REST APIs, and deploys cloud applications on AWS. The role involves processing large datasets, managing distributed computing solutions, troubleshooting technical issues, optimizing performance, and collaborating with cross-functional teams to deliver reliable software and data engineering solutions.

Design, develop, and maintain scalable AWS cloud-native microservices using Java, GoLang, and Python. Build event-driven architectures with Apache Kafka, manage infrastructure through Terraform and AWS CloudFormation/CDK, and deploy highly available applications on AWS. Develop secure APIs, monitor systems with AWS CloudWatch, optimize performance, troubleshoot integrations, and collaborate with cross-functional teams on complex engineering initiatives.

Designs scalable AWS cloud architectures and develops enterprise Java applications. Responsibilities include implementing CI/CD automation, securing and optimizing cloud environments, troubleshooting complex technical issues, monitoring performance, and collaborating with cross-functional teams to translate business needs into reliable cloud solutions.

Design, develop, and maintain backend and full-stack application components using .NET Core MVC, REST APIs, and MS-SQL Server. Build scalable APIs, optimize databases, implement column-level encryption, handle JSON and NoSQL data within SQL Server, and maintain Git/GitHub repositories. Participate in Scrum ceremonies, conduct code reviews, troubleshoot performance issues, and follow secure coding practices. Cloud deployment, testing, CI/CD, API security, and SQLite experience are advantageous.

Own the vision, roadmap, and delivery of US healthcare revenue cycle management and authorization platforms. Translate regulatory and customer needs into technical requirements, lead Agile execution, and ensure compliance with HIPAA, CMS, HL7, FHIR, and EDI standards. Partner with engineering, clinical, operations, and US clients while incorporating AI capabilities. Develop UI/UX systems and prototypes, conduct demos and training, and support onboarding and product adoption.

Own and scale Exterview’s backend platform, building Node.js microservices, REST/GraphQL APIs, data models, asynchronous workflows, billing and notification integrations, and secure cloud infrastructure. The role focuses on high-throughput distributed systems, sub-100ms performance, observability, automated testing, CI/CD, and supporting thousands of concurrent AI-driven interviews and assessments. Collaborate with frontend, AI, DevOps, and product teams to define reliable architecture and technical specifications.

Own the frontend experience for an AI-driven hiring platform. Build scalable design systems, recruiter and candidate workspaces, real-time collaborative interview interfaces, streaming AI interactions, dashboards, visualizations, and secure embedded tools. Partner with product, AI, backend, and QA teams while optimizing performance, accessibility, responsiveness, and enterprise UX. The role requires deep React and Next.js expertise, SSR/RSC knowledge, and experience with WebSockets and collaborative editing.

Develop scalable backend solutions for fintech products, including APIs, microservices, and database integrations. Responsibilities include designing RESTful services, troubleshooting complex technical issues, optimizing performance, deploying applications on AWS, collaborating with cross-functional teams, and researching emerging technologies. The role requires strong Node.js expertise, cloud deployment experience, containerization knowledge, database optimization skills, and familiarity with software design principles.

Develop Angular web applications, reusable UI components, dashboards, and data visualizations integrated with Java and Spring Boot APIs. Translate complex workflows into intuitive UX guidance, collaborate across engineering and data teams, troubleshoot production issues, and own features through deployment. The role also requires SQL, Python, cloud data ecosystem knowledge, scalable pipelines, database exposure, and familiarity with AI/ML, streaming technologies, DevOps, and data governance.

Own production infrastructure for a student-recruitment platform, including resilience, backups, zero-downtime CI/CD, monitoring, incident response, security, disaster recovery, cost management, and documentation. Operate Linux infrastructure across Linode and DigitalOcean with Cloudflare, MongoDB, Docker, and Node.js applications. Establish recovery objectives, conduct restore drills, manage secrets and access controls, remediate audits, and support UK GDPR alignment. This remote role is based in India and requires independent ownership of infrastructure operations.

Develop and maintain scalable automated testing frameworks for enterprise systems, covering UI, API, SIT, regression, and end-to-end scenarios. Integrate automated suites with CI/CD pipelines, generate reports, troubleshoot failures, support defect triage, and collaborate with QA, engineering, architecture, and DevOps teams. The role also involves backend validation with SQL, test environment readiness, automation prioritization, and mentoring junior team members.

Design, deploy, and administer scalable AWS cloud architectures using services such as EC2, S3, Lambda, and CloudFormation. Provide technical support, monitor performance, resolve bottlenecks, secure cloud environments, and migrate operations and data to the cloud. Build and test architectures, manage Linux virtual machines in multi-tenant environments, recommend technology solutions, and ensure compliance, privacy, and cost efficiency.

Lead platform engineering initiatives across cloud infrastructure, continuous delivery, developer environments, observability, and operational tooling. Own architectural decisions, build self-service infrastructure, improve CI/CD reliability and developer productivity, support AI-enabled engineering workflows, and participate in production on-call and incident response. This hands-on staff-level role also provides technical leadership and drives organization-wide engineering standards and reliability improvements.

Develop scalable full-stack applications using Java, React.js, Spring Boot microservices, Kafka, and AWS. Responsibilities include REST API development, cloud deployment, CI/CD, database integration, performance optimization, security, monitoring, logging, and production-ready code delivery. The role requires expertise in Java concurrency, event-driven architecture, Docker, Jenkins, Redis, observability tools, and SQL databases.