Top AWS Jobs in Hyderabad

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.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.

The Senior MEAN Stack Developer will design, develop, and deploy scalable web applications, focusing on building robust REST APIs and microservices, while ensuring code quality and continuous improvement.

The Technical Account Manager owns customer onboarding, engages with senior stakeholders, drives technical adoption, collaborates across teams, monitors customer satisfaction, advocates for customer needs, and ensures continuous improvement in processes.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

The Senior Site Reliability Engineer ensures the availability, performance, and security of Drivetrain's SaaS platform, managing multi-cloud infrastructure, optimizing CI/CD pipelines, and driving automation.

The Frontend Engineer will create responsive user interfaces, work closely with design and product teams, and ensure performance of products.

Lead R&D efforts to discover, prototype, and de-risk technologies across backend, web, mobile, cloud, and emerging platforms. Drive PoCs, define handoff models to product engineering, influence architecture and platform strategy, and ensure security and compliance of research outcomes.

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.

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

Manage and optimize Ubuntu and RHEL server infrastructure across production and staging. Perform upgrades, patching, kernel tuning, security hardening, backups, and troubleshooting. Implement configuration management and automation (Ansible/Puppet/Terraform), monitoring, virtualization/containerization, and collaborate with DevOps and cloud teams for provisioning, disaster recovery, capacity planning, and incident response. Maintain documentation, SOPs, and audit reports.

The Senior DevSecOps Engineer designs CI/CD pipelines, manages cloud infrastructure, implements disaster recovery, and supports automation while collaborating in a team environment.

The Senior Consulting Engineer will provide consultative support, project engineering, and technical assistance to enterprise customers, handling complex database and cloud implementations.

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.

Lead full-cycle recruiting for Data, ML, and Software Engineering roles. Source niche senior talent, perform technical screens, partner with engineering leaders, maintain ATS pipelines, and deliver hiring metrics and market intelligence.

Design, build, and maintain scalable backend services and APIs; optimize performance and data pipelines; architect and manage AWS infrastructure; document systems; ensure code quality through reviews; deploy containerized microservices and implement infrastructure-as-code and monitoring/alerting for production systems.

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.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.