Top AWS Jobs in Hyderabad

Seeking a Full Stack Developer to design and develop applications using Python and Angular, implement CI/CD practices on AWS, and lead technical teams for software delivery.

Lead design and development of scalable automation frameworks for UI (Playwright/TypeScript) and APIs (Python/pytest). Integrate tests into CI/CD, maintain mocking with WireMock, eliminate flakiness, mentor engineers, and report automation metrics to stakeholders.

Design, build, and scale backend systems for the Made Card platform, focusing on system design, database optimization, API delivery, and performance reliability while mentoring junior engineers.

Lead QA for mobile/web products, define test strategies, conduct manual/automated testing, mentor colleagues, and ensure software quality.

As a Backend Engineer, you will develop and maintain high-quality code, collaborate with teams on various applications, ensure product integrity, and enhance system performance while embracing a culture of innovation and fun.

As a Full Stack Developer, design and maintain web applications using JavaScript frameworks, develop APIs, collaborate in Agile teams, and mentor junior staff.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

Design, build, and maintain centralized data pipelines, warehouses, lakes and hubs. Assemble complex datasets, implement ETL processes, build analytics tools and reports, support cross-functional teams, ensure secure cross-region data separation, and create product data tools to enable insights on acquisition and operational metrics.

Design, develop, and deploy ML models and LLM-based applications; implement RAG and vector database pipelines; fine-tune models, optimize inference and scalability; build REST APIs and backend integrations; monitor AI system performance; collaborate cross-functionally and stay current with AI advancements.

Lead design and management of scalable cloud infrastructure, CI/CD automation, Kubernetes orchestration, IaC with Terraform, observability and incident response, security and disaster recovery, and mentor junior engineers while collaborating with cross-functional teams.

Design, build, and operate scalable ETL/ELT pipelines using open-source tools. Optimize databases and SQL, prototype new tools, support migration from Azure Databricks to AWS, ensure data quality, observability, CI/CD, and collaborate across distributed teams in Advertising and Market Research.

The SAP BASIS Consultant will manage ECC and S/4HANA landscapes, handle system administration, performance tuning, and ensure security and backup protocols.

Design, develop, test, and maintain scalable server-side systems using Java Spring Boot. Diagnose performance and scalability issues, produce documentation, implement automated tests and CI/CD, collaborate with cross-functional agile teams, perform code reviews, mentor peers, and translate business requirements into technical solutions.

Lead analytics engineering work to design, build, and maintain dbt-based transformation pipelines, governed metrics/semantic layers, and analytics-ready data marts on Snowflake or Databricks. Ensure data quality with automated tests and observability, support product analytics and ML feature datasets, partner with Product/Engineering, mentor junior team members, and participate in on-call rotations.

Design, develop, and maintain scalable full-stack applications using Node.js and React.js. Build and integrate REST APIs and AWS cloud solutions (including AWS Bedrock exposure). Integrate Generative AI/LLM capabilities into applications and collaborate with cross-functional teams to deliver high-quality software.

Build and automate infrastructure, CI/CD, and developer tools across multi-cloud (GCP and AWS). Implement containerization (Kubernetes, Docker/DIND), Terraform automation, logging/monitoring, IAM, and support teams debugging DevOps issues for scalable, secure microservices.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Serve as a hands-on Vulnerability Management Engineer for a portfolio of startups: manage scanning infrastructure (Tenable/Nessus, Qualys, Rapid7, Vanta), analyze and prioritize vulnerabilities using CVSS/EPSS and threat intelligence, collaborate with client IT/DevOps to remediate and map patching to compliance evidence, manage exceptions, and act as a primary security advisor delivering status reports and executive summaries.

Design, develop, test, and maintain ETL and data quality workflows using Informatica CDQ/IICS. Integrate cloud and on-prem systems, perform data profiling and cleansing, implement quality rules, build monitoring dashboards, troubleshoot production issues, optimize performance, and collaborate with stakeholders to define data quality standards.

The Senior Infrastructure Engineer will design and implement a high-reliability, high-throughput advertising platform, focusing on infrastructure, technical leadership, and incident response management.

As a Solutions Engineer, you'll integrate Writesonic's AI SEO solutions for enterprise clients, troubleshoot tech issues, and collaborate with product teams to improve customer experiences.

The role involves managing and optimizing large-scale Linux server infrastructures, ensuring uptime, reliability, and security while collaborating with various teams.

As a Backend Engineer, you will develop automation frameworks, resolve bugs, optimize performance, and collaborate with teams to enhance product quality.

Lead a hands-on AI-first engineering pod to design, build, and ship agentic orchestration pipelines integrated with Slack, issue trackers, Git and CI/CD. Implement AI-assisted development responsibly, improve CI/CD and quality gates, modernize legacy .NET Core 2.1, mentor engineers, codify playbooks and guardrails, and ensure fintech-grade security and auditability.