Top AWS Jobs in Hyderabad

Perform hands-on vulnerability triage and risk assessment across OS, containers, and dependencies; validate and reproduce customer and pentest findings; maintain and troubleshoot SAST/DAST and scanning pipelines; build PoC exploits to validate real-world risk; partner with Engineering to prioritize and ship fixes; improve vulnerability management processes and SLAs.

Lead and grow the India engineering team (initially 5 engineers) across product, SRE, and InfoSec; own technical roadmap, drive scalable secure systems, mentor and hire, partner with US product and data teams, and implement engineering best practices for reliability and incident response.

The Sr GCP Data Engineer will work with cloud technologies to engineer data solutions, requiring over 5 years of experience in the field.

The Senior Full Stack Developer will design, develop, and maintain core applications, mentoring juniors and overseeing code quality. Responsibilities include both front-end and back-end development using Java and React, leading architectural design, and implementing APIs.

Design, build, and maintain high-performance FastAPI-based REST APIs and asynchronous backend services. Drive event-driven data synchronization and CDC, optimize caching and database performance, improve observability, collaborate cross-functionally, and contribute to open-source Plane and backend architecture.

Build and optimize core backend systems enabling user features, real-time data synchronization (event-driven/CDC), advanced caching and connection pooling, and improved observability. Drive architectural and infrastructure upgrades, own deployment and scaling strategies, contribute to open-source, and raise backend engineering standards across the platform.

Design, build, and maintain scalable Python-based ETL/data pipelines on cloud platforms. Integrate diverse data sources, implement data models, ensure pipeline performance and data quality, monitor and troubleshoot systems, and collaborate with analysts and data scientists. Document architecture and processes.

The Senior Software Engineer will develop AI-integrated products with Javascript and Typescript, contribute to web application deployment, and ensure code quality within a dynamic team.

Serve as a technical product-facing data engineer translating product requirements into build-ready engineering artifacts. Partner with product, architecture, and platform teams to design and validate data models, SQL queries, pipelines, APIs, and data quality checks. Contribute hands-on to schema definitions, metadata, pipeline validation, automation, and observability to enable reliable cloud data platform delivery and accelerate engineering execution.

The role involves building scalable software solutions, participating in code reviews, planning tasks, and staying updated on new technologies, mainly using Java and Spring frameworks.

Develop, test, and maintain Java-based applications and services. Participate in design and architecture, collaborate with cross-functional teams, write clean scalable code, optimize performance, troubleshoot issues, and maintain version control and CI/CD pipelines.

Build, deploy, and maintain AI/ML and generative AI solutions and platforms. Create CI/CD pipelines, containerized workloads (Docker/Kubernetes), and IaC (Terraform). Support cloud deployments (AWS/Azure/GCP), observability (Prometheus/Grafana), and MLOps practices while collaborating with engineering teams for reliability, performance, and security.

Design, develop, and maintain scalable backend systems. Implement distributed architecture patterns, collaborate with cross-functional teams, mentor junior developers, participate in design and code reviews, and take ownership of project delivery and POCs.

Lead Mainframe infrastructure design, deployment, and lifecycle management across colo datacenters. Drive modernization, automation (Ansible/DevOps/AI), service delivery, vendor SLAs, ITSM governance, cost optimization, and cross-functional collaboration while managing teams and budgets to improve operational resilience and agility.

Provide administration, implementation and operational 24x7 support for enterprise IAM platform (Broadcom/CA suite, AD/Azure AD). Troubleshoot production incidents, optimize platform, enhance logging/auditing, automate operational tasks, coordinate offshore teams, manage change/incident/problem processes, and support identity governance, disaster recovery and certificate renewals.

Manage and secure company IT infrastructure, cloud services, networks, endpoints, and enterprise apps. Administer Windows/Linux/macOS, cloud (AWS/GCP), networking, IAM, MDM, backups, monitoring, and ITSM. Troubleshoot incidents, support onboarding/offboarding, coordinate vendors, implement security best practices, and support compliance (SOC 2) and disaster recovery. Automate tasks and improve operational efficiency in a remote-first environment.

Senior Node.js developer responsible for building large multi-tenant web and client-server applications. Requires 5+ years Node and SQL experience, cloud development (AWS/Azure), RESTful API design, strong OOD/design patterns and security/authentication knowledge. Works in Agile teams; Ruby experience and advanced degree are a plus. Must be authorized to work in the U.S.

Design, build, and maintain end-to-end automated test suites for web and mobile using Python, Selenium, and Robot Framework. Automate API tests (GraphQL/REST), integrate tests into CI/CD pipelines (Jenkins/Azure DevOps), use BrowserStack for cross-browser/mobile testing, collaborate in Agile, work with version control and databases, and apply testing methodologies (TDD/BDD, unit testing).

Develop and maintain enterprise-grade web and mobile applications using React and modern JavaScript. Build UIs with strong HTML/CSS skills, consume RESTful APIs, apply good UI/UX principles, work in Agile/SCRUM, and collaborate across teams. Contribute to state management, authentication, and cloud-enabled deployments.

Lead asset-management analytics strategy and solutions: translate business needs into scalable data products, design modern data architectures (lakehouse, pipelines, integration), champion AI-driven transformation and generative/agentic AI use cases, ensure data governance/quality, and act as primary business-technology liaison to deliver performance analytics and attribution capabilities.

Lead architecture and technical direction for a scaling SaaS platform. Modernize and evolve distributed systems, databases, and cloud infrastructure; improve reliability, observability, and CI/CD; mentor engineering teams and set organization-wide engineering standards.

Manage and optimize IT infrastructure and networks: monitor servers, apply patches, handle backups and disaster recovery, maintain firewalls and VPNs, provide end-user support, coordinate vendors, and maintain IT documentation and policies to ensure security and uptime.

Manage and maintain servers, networks, and security; perform updates, patching, backups, and disaster recovery; support end-users; administer routers, switches, firewalls and VPNs; coordinate vendors and maintain IT documentation and policies.

As a Software Engineer on the Platform team, you'll design and maintain backend APIs, ensure performance, and collaborate with cross-functional teams for user experiences.

Design, build, and optimize Databricks-based big data pipelines and ETL workflows using Spark, SQL, and Python/Scala. Maintain data lakehouse architectures, enforce governance and security, automate CI/CD and IaC, monitor cluster performance, and collaborate with data teams to enable AI/ML workflows.