Top AWS Jobs in Hyderabad

Build, deploy, and maintain scalable full-stack applications using React and Node.js. Develop REST and GraphQL integrations, design software architectures, optimize AWS-hosted applications, troubleshoot issues, and write clean, testable code. Collaborate with product managers, designers, and developers in an agile environment while applying front-end performance, state management, database, and software testing practices.

Build and operate reliable, scalable platform infrastructure across GCP and AWS. Own CI/CD pipelines, Kubernetes clusters, infrastructure as code, automation, performance and capacity planning, reliability practices, observability, alerting, incident response, and postmortems. Collaborate with engineering squads to improve developer productivity and ensure production services are performant, resilient, and observable.

Design, develop, and maintain automated UI and API testing frameworks using Selenium, Java, REST Assured, TestNG, and JUnit. Execute functional, regression, integration, and end-to-end testing across AWS-hosted environments. Integrate tests into CI/CD pipelines, validate APIs and databases, troubleshoot defects, and collaborate with development and QA teams to improve software quality and test coverage.

Leads end-to-end incident response across enterprise and cloud environments, including detection, investigation, containment, eradication, recovery, forensics, and root cause analysis. Develops playbooks, improves detection and automation, coordinates stakeholders, leads post-incident reviews, mentors analysts, and supports on-call response to critical security incidents.

Build and manage production AI agents, high-precision RAG pipelines, and LLM-powered features. Develop backend architecture using Postgres, REST APIs, asynchronous programming, queues, storage, RBAC, and encryption. Integrate foundation models, establish evaluation patterns, write automated tests, monitor system health, and collaborate with product managers on reliable, secure AI applications.

Leads enterprise application configuration management, drift governance, patch governance, security baseline compliance, exception management, remediation tracking, audit evidence, metrics, and executive reporting. Partners with cybersecurity, infrastructure, cloud, vulnerability management, ServiceNow, CMDB, and technology governance teams to improve compliance, automate reporting, and strengthen cyber resilience.

Provide technical customer support for managed database solutions in Linux/Unix environments. Troubleshoot SQL performance, distributed systems, networks, logs, and infrastructure; manage tickets, SLAs, on-call rotations, root-cause analyses, and corrective actions. Create documentation, knowledge-base content, support tools, and customer deployment materials. Partner with Engineering, assist with onboarding and installations, represent key customers’ needs, and improve support processes and product quality.

Leads IT infrastructure strategy, cloud and systems deployment, L3 operations, performance optimization, security hardening, disaster recovery, compliance, vendor management, and IT team development. Supports OCI, AWS, Linux, networking, Windows services, patching, vulnerability remediation, incident response, automation, backup, migration, and business continuity initiatives while maintaining stringent SLAs.

Leads enterprise infrastructure automation initiatives using Terraform, OpenTofu, Ansible, and AWX/Tower. Designs scalable IaC and configuration-management solutions, integrates automation with CI/CD, monitoring, and ticketing platforms, and drives cloud and hybrid infrastructure modernization. The role includes troubleshooting production issues, establishing automation standards, mentoring teams through documentation and code reviews, and adopting agentic AI capabilities for IT operations.

Maintains and matures security governance, risk, and compliance frameworks; conducts risk assessments, policy management, third-party risk reviews, control testing, and audit coordination. Leads data privacy operations including DPIAs, data mapping, ROPA maintenance, DSAR handling, regulatory monitoring, and privacy-by-design implementation. Develops security and data-handling awareness training and translates legal and technical requirements for business, product, IT, and executive stakeholders.

The Product Security Engineer integrates security throughout the product lifecycle. Responsibilities include threat modeling, risk assessment, application and mobile security testing, penetration testing, code review, DevSecOps tooling, AWS security, automation, vulnerability management, security analytics, monitoring, and developer education. The role partners with engineering, product, DevOps, infrastructure, and platform teams to establish secure development practices and security controls.

Lead the Databricks machine learning lifecycle from experimentation through production. Configure workspaces, clusters, policies, workflows, CI/CD, MLflow model deployment, monitoring, and environment controls. Convert data science notebooks into reliable production pipelines, optimize Spark and Delta Lake workloads, troubleshoot failures, and establish standards and runbooks. Collaborate with data scientists, ML engineers, platform teams, and healthcare and pharmaceutical stakeholders.

Build quantitative models, machine learning pipelines, data pipelines, and investment analytics supporting equity research. Partner with research analysts to convert valuation, financial statement, earnings, and sector methodologies into scalable models. Source and engineer financial data, develop predictive and risk models, explore investment signals, productionize models, and document methodologies. Communicate findings to technical and business stakeholders while applying statistical, machine learning, NLP, and quantitative finance techniques.

Plans, develops, automates, and executes functional, non-functional, performance, regression, and security tests for web products and APIs deployed on AWS. Tests API gateways, error handling, integrations, and performance; documents test plans and results; identifies defects and corrective actions; and collaborates with developers, DevOps engineers, and stakeholders in an Agile environment to improve software quality, security, scalability, and reliability.

Lead QA automation strategy and build end-to-end test frameworks for web, API, and AI-driven features. Develop UI and API automation, performance/load tests, CI-integrated quality gates, and deterministic validation for non-deterministic ML outputs. Partner with product and engineering to define acceptance, shift-left quality, and validate AI/vision outputs and generated test code.

Own the full sales cycle across ASEAN, from prospecting through enterprise close. Conduct technical discovery, connect customer needs to business outcomes, and collaborate with Sales Engineering, Product, AWS, and regional partners on demos and proofs of concept. Manage territory strategy, pipeline, forecasting, account planning, procurement, security, and data residency discussions. Sell to founders, CTOs, engineering leaders, and platform teams, then transition customers to Customer Success for onboarding and expansion.

Designs, builds, and deploys production AI systems, including LLM pipelines, RAG applications, agentic workflows, data platforms, APIs, and user-facing interfaces. Responsibilities include evaluating models, creating guardrails and observability, processing large-scale behavioral data, deploying cloud-based services, troubleshooting production systems, and iterating based on user behavior. The role requires full-stack development, strong Python and ML fundamentals, product thinking, and effective remote collaboration.

Build and maintain CI/CD pipelines, cloud infrastructure, and automated deployment processes. Implement Infrastructure as Code, manage Docker and Kubernetes environments, monitor system reliability, troubleshoot production issues, and support scalable software delivery. Collaborate with development and operations teams in an Agile environment while applying security and operational best practices.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Build and own end-to-end web applications, including responsive frontends, scalable backend services, APIs, database integrations, authentication, and payment systems. Deploy cloud-native applications using Docker and CI/CD pipelines, write clean and testable code, participate in Agile ceremonies and code reviews, and mentor junior developers. The role requires strong JavaScript or TypeScript skills, React or Angular, Node.js, SQL and NoSQL databases, REST APIs, microservices, Git, and cloud services.

Build and manage secure, highly available cloud infrastructure and CI/CD pipelines. Responsibilities include Infrastructure as Code, Kubernetes and container management, monitoring, logging, security, access control, disaster recovery, cost optimization, and production troubleshooting. The role requires strong cloud, Terraform, Kubernetes, Docker, Linux, networking, scripting, and pipeline experience, with participation in on-call support.

Designs and owns scalable enterprise data platforms across ingestion, storage, processing, serving, and analytics. Responsibilities include cloud data lake, lakehouse, and warehouse architecture; data modeling; governance, security, quality, metadata, and lineage standards; architecture reviews; technology selection; cost optimization; team guidance; stakeholder collaboration; and presales support. Requires strong Snowflake or Databricks, cloud, SQL, data modeling, programming, Spark, and ETL/ELT expertise.

Build and optimize batch and real-time ETL/ELT pipelines using Python, PySpark, SQL, Snowflake, Databricks, and cloud platforms. Develop transformation and orchestration layers, implement data quality monitoring and alerting, optimize performance and cloud costs, and collaborate with architects, analysts, and data scientists. The role also requires data warehousing, dimensional modeling, CI/CD, version control, and documentation practices.

Design, develop, and maintain scalable Python backend applications, RESTful and GraphQL APIs, database systems, integrations, and asynchronous services. Deploy cloud-based services using Docker and CI/CD pipelines, write automated tests, participate in code reviews, contribute to technical architecture, and mentor junior developers. The role requires expertise in Python frameworks, SQL and NoSQL databases, authentication, cloud platforms, distributed systems, and asynchronous programming.

Build and own backend systems for the go-to-market team, including data pipelines, CRM integrations, internal services, signal automation, lead scoring, and AI agents. Design reliable data models and production workflows using Python and SQL, while managing deployment, monitoring, error handling, and maintenance. Collaborate closely with Sales, GTM leadership, and Engineering to deliver systems that reduce manual work and improve pipeline generation.