Top Engineering Jobs in Hyderabad

Build and maintain an AI-native EHR: own features end-to-end, ship continuously, use AI/LLMs to increase productivity, ensure reliability, and work across frontend, backend, data, jobs, and infra.

Design, develop, and maintain scalable Playwright/Cypress automated test frameworks and suites for web applications. Create and run functional, regression, integration, smoke, and end-to-end tests; integrate tests into CI/CD; debug failures; document defects and quality risks; mentor junior QA engineers; and improve automation coverage, reliability, and test speed.

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.

Build scalable QC systems and validation pipelines for RL training data: define quality standards, design metrics and experiments, audit supplier datasets, partner with vendors to diagnose failures, and integrate learnings into infrastructure and vendor tooling.

Design, implement, and maintain domain-specific benchmarks and infrastructure to run agents/models. Define tasks with subject experts, develop metrics and analyses, validate benchmark relevance to real-world evals, and produce clear technical documentation and reports.

The GTM Engineer is responsible for managing HUD's outbound sales pipeline, optimizing conversion metrics, and developing GTM workflows, targeting technical buyers. The role requires technical aptitude and sales skills relevant to AI and ML domains.

Lead implementation and deployments for frontier AI labs and data vendors: triage technical requests, build tools and one-off pipelines, diagnose ambiguous problems across code/data/environments, coordinate cross-functionally, and turn recurring manual work into reusable processes.

Develop low-level systems for a layer-1 blockchain focusing on performance and collaboration in design and iteration processes.

Design, develop, and maintain scalable backend systems, ensuring performance, security, and scalability while collaborating with team members and optimizing code quality.

As a Backend Engineer, you will design and implement scalable platform services, manage APIs, microservices, and ensure operational excellence in a cloud environment.

Work with engineering and product teams to embed quality from design through production: define test strategy, write and maintain automated UI/API/contract/integration tests (TypeScript/Puppeteer), use AI-assisted testing, run security and accessibility checks, maintain CI/CD quality gates, monitor post-deploy health, report defects and quality metrics, and mentor junior QAs.

As a Senior AWS Cloud Engineer, you will design and implement AWS cloud infrastructure, automate deployment, optimize systems, and lead client collaboration on migration strategies.

Lead design and implementation of IDMC-based data integration solutions. Build and optimize ETL/ELT pipelines, integrate SCADA/IoT/ERP/market data, enforce data quality and governance, mentor developers, monitor production pipelines, troubleshoot issues, and evaluate new IDMC features to support analytics and regulatory needs.

Build high-performance backend services and mobile APIs within a microservices architecture. Research and apply technologies to improve reliability, developer experience, and performance. Collaborate on a small mobile backend team; must have production Go experience, solid CS fundamentals, and networking knowledge.

Lead manual and automated QA activities including test planning, exploratory and regression testing, automation framework development, cross-browser and performance testing, AI-driven test case generation, defect tracking, and CI/CD integration to ensure scalable, compatible, and high-performing software releases.

Design, implement, and manage Azure infrastructure using IaC; build and maintain CI/CD pipelines; administer and secure Linux servers; automate deployments and configuration management; monitor performance and cost; perform security assessments and compliance; provide production support and documentation; collaborate with development, QA, and operations teams.

Develop, maintain, and optimize consumer-facing Azure AD B2C applications. Integrate Azure services, implement security and compliance measures, and improve user experience through testing and iterative enhancements. Collaborate with cross-functional teams, work with Custom Policies and user journeys, and document configurations and processes.

Design, implement, and manage Ansible-based automation and deployment strategies. Write playbooks and roles, configure Ansible Tower, manage server/network/software configurations, automate software deployments, troubleshoot Ansible environments, enforce security/compliance, document playbooks and procedures, produce performance/compliance reports, and train/mentor IT staff. Participate in on-call rotation and travel as needed.

Design, develop, and deploy ML models and pipelines; preprocess data and engineer features; implement MLOps (Docker, Kubernetes, CI/CD); collaborate with stakeholders to translate business problems into AI solutions; monitor and optimize model performance and maintain documentation and governance.

The Principal UI Engineer will develop front-end applications for AI-driven cybersecurity solutions, lead UI development, conduct code reviews, and collaborate with teams to enhance software quality.

Develop and optimize LLMs, evaluate model performance, integrate advanced AI technologies, lead cross-functional collaboration, and document methodologies.

Remote QA Engineer responsible for manual and automated testing of web and mobile applications. Create and maintain test plans and automation scripts, test REST APIs, log and track defects, participate in Agile ceremonies, improve QA processes and ensure releases meet quality standards.

Build an AI-native EHR: design, implement, and ship end-to-end features across frontend, backend, data, and infra. Use LLMs and AI tooling, maintain reliability, refactor code, and iterate with users in a fast-moving startup environment.

Develop and optimize ultra-low-latency, high-performance trading infrastructure in modern C++. Implement and tune order execution, market data connectivity, multi-threaded systems, and risk modules. Profile and benchmark real-time systems, collaborate with quants and traders, and maintain robust, fault-tolerant continuous trading operations.

Design, execute, and maintain test plans and cases for web, mobile, and cloud apps. Perform manual and automated testing, API and performance testing, log and track defects, collaborate with engineering and product teams, support releases, and improve QA processes and documentation.