Top AWS Jobs in Hyderabad

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.

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.

Design, build, and maintain scalable full-stack web applications using Node.js and React.js. Develop secure RESTful APIs and responsive frontends, deploy and manage cloud-native apps on AWS/Azure/GCP using containerization, work with SQL and NoSQL databases, implement authentication/authorization, participate in code reviews, troubleshoot production issues, and collaborate with product, QA, and DevOps teams.

As a Data Engineer, you will design and maintain systems for processing large datasets, develop data pipelines, ensure data integrity, and optimize workflows for analytics and machine learning.

As a Junior Frontend Engineer at Plane, you will contribute to building user-facing features, optimize UI performance, and work with modern web technologies, all while growing in your engineering capabilities through mentorship and direct collaboration with users.

The Senior SDET will design and maintain automation frameworks, ensure quality in cloud operations, and collaborate with teams to embed quality practices throughout development.

Assist the DevOps team to automate and optimize CI/CD workflows, deploy infrastructure across AWS and GCP, build development tools, improve release processes, troubleshoot issues, and help ensure secure, scalable, and performant systems.

Design, build, and deploy production-grade AI applications integrated with LLMs to automate and optimize investment management workflows. Evaluate generative models, implement RAG and vector DB solutions, create automated workflows, collaborate with cross-functional teams, ensure security/compliance, and contribute to architecture, code reviews, and documentation.

Manage and maintain servers, systems, and network infrastructure; perform patching, backups, disaster recovery, and security tasks; support end-users; troubleshoot hardware/software/connectivity issues; coordinate vendor procurement and maintenance; maintain IT documentation and enforce internal IT policies.

Design and build digital solutions, verify architecture stability, improve performance, support development teams, and ensure compliance with standards.

Design, build, and optimize orchestrated data pipelines using dbt, Airflow, Azure Databricks, PySpark, SQL and Python. Implement CI/CD and automation, ensure data quality, perform ad-hoc analysis and reporting, collaborate with cross-functional teams, and troubleshoot DAG failures to support data-driven decision-making.

Design and develop Streamlit web applications and dashboards, build and optimize database integrations (relational and NoSQL), implement backend functionality, ensure code quality via reviews, deploy and monitor apps on cloud platforms, troubleshoot performance issues, and create Power BI visualizations. Optionally integrate GenAI features and vector-search capabilities.

Design, build, and maintain scalable ETL/ELT data pipelines and Snowflake-based data warehouses on AWS. Implement ingestion, transformation, orchestration, data quality, performance tuning, and monitoring; collaborate with stakeholders and troubleshoot production data platform issues.

Designs, develops, and executes performance, load, stress, and scalability tests for web and enterprise applications. Creates test plans and scripts, analyzes metrics with APM tools, identifies bottlenecks, recommends tuning, integrates performance testing into CI/CD, and supports capacity planning and risk assessments.

Own strategy, roadmap, and delivery for SIEM/SOC/EDR/XDR and Threat Data Hub products. Translate customer and market signals into fast, reliable releases; design agentic AI detection-to-response workflows; define data contracts, retention, and enterprise-grade reliability (SLOs, canaries, rollback); collaborate with GTM, sales, and customers; ensure compliance, privacy, and ethical AI practices.

Lead analytics function: define data strategy, ensure data quality, perform advanced statistical and ML analysis, build dashboards (Tableau/Superset/Power BI), provide actionable insights to stakeholders, collaborate across growth/risk/CRM/product, and drive continuous improvement in analytics practices.

Lead design and implementation of scalable distributed systems, tackle high-concurrency and real-time processing problems, drive R&D in LLMs and agentic architectures, collaborate cross-functionally, mentor engineers, and identify architectural bottlenecks to deliver production-grade AI solutions.