Top Engineering Jobs in Hyderabad

Design, build, deploy, and operate production AI/ML systems on Google Cloud. Develop clean, tested Python; evaluate model quality; manage cloud networking and security; and ensure data and models remain within client boundaries. Explain AI trade-offs to clients, collaborate with Google Cloud teams, and own outcomes from prototype through reliable production use.

Design, secure, automate, and troubleshoot Google Cloud environments for partners and public sector clients. The role focuses on secure-by-default cloud foundations, networking, auditability, infrastructure automation, methodical debugging, and communicating technical decisions to clients and security reviewers. Candidates need substantial hands-on Google Cloud experience, a Professional Google Cloud certification, and six hours of daily overlap with North American Eastern time.

Designs and builds end-to-end data platforms on Google Cloud for regulated-sector clients. Responsibilities include developing reliable pipelines, modeling scalable data systems, optimizing performance and cost, ensuring data governance and regional compliance, and applying cloud networking and security practices. The role requires strong SQL and Python skills, client-facing communication, and ownership of project outcomes.

Develop and deploy scalable full-stack web applications using Python REST APIs and modern front-end technologies. Responsibilities include building user interfaces with React or Next JS and Tailwind CSS, developing backend services, working with databases, and potentially using background workers, schedulers, containers, and orchestration platforms. The role requires collaboration with the development team, strong problem-solving skills, and attention to detail.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Build reinforcement learning environments for coding tasks, develop and deploy production AI agents, and shape technical direction. The role also involves leading engineering growth in a fast-paced startup. Candidates need 3–7 years of engineering experience, strong reinforcement learning fundamentals, experience with coding-focused reinforcement learning, simulated training environments, autonomous agents in production, and AI coding assistants. The position is remote in India with a 5.5-day workweek and Pacific-time overlap.

Develop and deploy complex Salesforce solutions involving Apex, JavaScript, SOQL, Lightning components, integrations, and custom applications. Collaborate with architects, consultants, engineering teams, and clients to design technical solutions, improve release processes, and use Heroku or AWS when Salesforce capabilities are insufficient. Mentor junior developers, support AppExchange products, manage deployment planning, and contribute to technical risk mitigation and project delivery.

Provides end-to-end EDI application and production support, monitoring transactions, integrations, application health, performance, and batch jobs. Troubleshoots incidents, resolves issues within SLA, performs root-cause analysis, supports trading partner onboarding and EDI mapping changes, and manages service requests, changes, and deployments. Coordinates with business users and cross-functional teams, maintains documentation, and participates in on-call support.

Lead end-to-end ML systems: data pipelines, model development (transformer-based detection), sim-to-real synthetic data, multi-sensor fusion, on-device real-time inference (Jetson), MLOps (experiment tracking, versioning), and production deployment and monitoring. Set ML roadmap and hire/lead as the team grows.

Principal Full Stack Engineer responsible for setting technical direction while remaining deeply hands-on across Laravel, PHP, Next.js, AWS, and GCP. The role owns platform architecture, leads cross-team technical initiatives, improves testing, CI/CD, observability, and scalability, and mentors engineers through influence. Responsibilities also include evaluating AI technologies, supporting event-driven and modular architectures, guiding roadmap trade-offs, and solving complex system-level challenges across product squads.

Design and deliver scalable full-stack SaaS features using Laravel, PHP, React or Next.js, and AWS. Build APIs, integrations, reusable components, tests, and CI/CD improvements while contributing to architecture, performance, accessibility, localization, and compliance. Collaborate with product, design, and QA; provide mentorship; support event-driven architecture and modular monolith evolution; and lead test coverage, documentation, and engineering standards.

Develop and deploy multilingual automatic speech recognition systems for children’s reading assessment. Responsibilities span speech-data collection and annotation, audio preprocessing, model training and fine-tuning, decoding, forced alignment, error analysis, benchmarking, and deployment in low-bandwidth or offline environments. The role requires adapting modern ASR architectures, detecting reading errors, evaluating WER/CER and alignment quality, and collaborating with assessment and field teams to translate model outputs into reading fluency and accuracy measures.

Build and deploy agentic finance AI solutions: design voice‑optimized prompts and conversational flows, integrate LLMs (Gemini/GPT/Claude) with RAG and enterprise data, implement voice/speech/telephony integrations, automate workflows and reporting using Python and SQL, and collaborate across product, engineering, and operations to tune and monitor production ML systems.

Develop and refine voice-optimized prompts and agentic LLM workflows for finance use cases. Build RAG grounding, integrate LLMs with voice/telephony (LiveKit), implement feedback loops, A/B testing, fine-tune models, and collaborate on production ML services and OCR/chatbot components.

Build and maintain responsive UI applications using React/Next, manage state with Redux, integrate REST APIs, write UI tests, debug issues, collaborate across design/product/backend, and participate in code reviews to improve frontend quality.

Build and deploy AI-powered applications, LLM agents, RAG pipelines, backend services, APIs, and frontend applications. Integrate cloud AI services, databases, Docker, and infrastructure-as-code while applying secure development practices. Collaborate with engineering, business, and client teams to prototype solutions, conduct workshops, and deliver client-facing features. The role may evolve into forward-deployed engineering with direct client engagement.

Maintain and improve Azure cloud and Kubernetes environments, including AKS clusters, infrastructure, networking, security, monitoring, and reliability. Onboard applications by containerizing workloads and configuring Kubernetes deployments, networking, secrets, and releases. Troubleshoot application and infrastructure issues, automate CI/CD and provisioning, and maintain operational documentation, runbooks, alerts, and production readiness in collaboration with development and security teams.

Owns day-to-day operations of a multi-database production estate, including upgrades, migrations, query tuning, backups, restores, failover, access management, monitoring, incident response, and customer data requests. The role automates DBA workflows with Python or Bash, supports Redshift reporting over Iceberg tables on S3, maintains audit readiness, and participates in on-call operations while collaborating with development, ML, DevSecOps, and customer teams.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

QA Intern will develop UI automation, API testing, and performance/load testing skills while working on real products with mentorship. Responsibilities include writing automated tests using Playwright or Selenium, applying programming fundamentals, using AI tools such as Claude responsibly, solving problems, and communicating clearly. Exposure to Postman, REST, performance testing, GitHub portfolios, or testing and development projects is beneficial. Successful interns may advance to a full-time SDET role.

Maintain and optimize production LLM and VLM services, including Flask/FastAPI microservices, Dramatiq queues, REST APIs, and Uvicorn/Gunicorn deployments. Design prompt strategies, feedback and evaluation pipelines, and AI routing integrations while monitoring latency, token usage, quality, and errors. Collaborate with engineering teams on scalable microservices, Dockerized deployments, CI/CD, security, and cloud infrastructure.

Maintain and enhance scalable backend services for a SaaS platform using Node.js and TypeScript. Responsibilities include API performance optimization, MongoDB and Redis management, asynchronous job workflows, AWS infrastructure monitoring, security implementation, API documentation, testing, CI/CD, and production troubleshooting. The role supports campaign generation, template storage, credit-based billing, and high-traffic APIs.

Designs and leads automated and system-level testing for a large-scale distributed database engine. Responsibilities include developing test plans, regression suites, workload and performance testing, CI/QA infrastructure, debugging query behavior, analyzing bottlenecks, improving test coverage, and validating scalability and correctness. The role collaborates with development and leadership teams, supports escalated issues, owns database testing infrastructure, and mentors junior engineers.

Provides technical customer support for Ocient products across cloud and on-premises environments. Responsibilities include handling high-volume tickets, on-call support, issue triage, root-cause analysis, troubleshooting distributed systems, validating issues and features with Engineering, and assisting Level I support engineers. Requires database administration, SQL, Linux/Unix, system administration, log analysis, networking, scripting, and infrastructure experience.

Designs and leads automated and manual testing for a complex browser-based UI. Responsibilities include Playwright-based end-to-end automation, regression, accessibility, responsive and performance testing, backend/API/SQL validation, flaky test diagnosis, CI integration, design review, release sign-off, issue investigation, test strategy, and mentoring junior engineers.