Top Engineering Jobs in Hyderabad

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Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

Design and execute automated and manual tests to ensure software quality. Develop test plans, test cases, and automation frameworks; run functional, load, performance, and stress tests. Report results, log defects, collaborate with developers and analysts, drive test strategy and automation initiatives, and coach junior testers.

Design and execute automated and manual tests to ensure software quality. Develop test plans, cases, and automation frameworks; perform API, mobile, performance testing; log and track defects; collaborate with developers and analysts; drive test automation and CI/CD integration.

Design, develop, and deploy integration solutions using MuleSoft and Java (1.8+). Implement API-led connectivity and microservices, manage CI/CD build and deployment across environments, ensure performance and security, collaborate with cross-functional teams, and participate in code reviews.

Own and deliver end-to-end features across React frontends and Java backends; design scalable, low-latency real-time systems (WebSocket, pub/sub) for large events; build high-performance interactive frontends with video/streaming; ensure production reliability, testing, and CI/CD; write architecture docs and collaborate with product and design.

Develop and maintain Java EE applications and REST APIs using Spring (MVC/Boot). Analyze requirements, write test-driven Java code, implement unit tests, optimize performance, design SQL/PLSQL, and collaborate in Agile teams to ensure delivery and CI/CD integration.

Design, develop, and support enterprise .NET applications and Planisware-based PPM solutions. Implement integrations via REST APIs, maintain SQL Server databases, troubleshoot issues, and collaborate with stakeholders to customize and support Planisware deployments.

Build and scale agentic workflows and tools using Netomi’s no-code platform. Design LLM prompts, integrate APIs, implement testing and resilient system patterns, troubleshoot workflows, and optimize AI agents for reliability, performance, cost, and fault tolerance. Collaborate with Product, QA, and Delivery teams to deliver production-grade agentic solutions.

Hiring mechanical engineering freshers (2018–2019) for production/QC roles in Ambattur Industrial Estate. Candidates should hold a B.Tech/B.E. or Diploma in Mechanical, be ready to join immediately, and have familiarity with AutoCAD, CAD, and CNC machines.

The Fullstack Engineer will design and develop solutions for .NET web applications, conduct code reviews, troubleshoot issues, and communicate with clients about work progress.

The Cloud Engineer leads Azure migrations, designs scalable solutions, implements IaC with Terraform, ensures security, and optimizes performance while collaborating with teams.

Seeking an experienced Generative AI Engineer to develop enterprise AI solutions, automate workflows, and design interoperable AI agents while collaborating across cloud platforms.

As a Design Verification Engineer, you will verify AI hardware components, develop verification infrastructure, and automate testbench processes primarily using SystemVerilog/UVM.

Responsible for ASIC implementation tasks including synthesis, timing constraints, ECOs, validation, and supporting RTL development and physical design activities.

Own the integration of IP into ASSP/SOC, including RTL design, synthesis, timing analysis, and verification infrastructure development. Requires expertise in Verilog and C/C++.

The Physical Design Engineer will implement AI acceleration SoCs, focusing on RTL-to-GDSII flows, synthesis, timing analysis, and collaboration with internal and external teams.

Design and own infrastructure and observability for large-scale services. Automate operations, implement SLOs/SLIs, run incident response, perform chaos testing, mentor SREs, and drive reliability improvements across cloud and data-center environments.

Develop and execute test automation for AI/ML software releases, troubleshoot issues, collaborate across teams, and maintain QA infrastructure.

Provide L3 support and platform engineering for the Domino Data Lab platform. Troubleshoot production incidents involving workspaces, models, jobs, connectivity, access, and performance; conduct root-cause analysis and implement permanent fixes. Manage upgrades, patching, monitoring, tuning, and reliability for enterprise data science and AI/ML workloads. Support Python and R environments, ML workflows, Kubernetes, Docker, AWS, SageMaker, and Azure Machine Learning integrations in regulated or life sciences environments.

Build and own the frontend for a company intelligence and verification platform, including a Next.js customer dashboard, scalable SEO-focused company profile pages, and a Mintlify developer documentation portal. Implement authentication, billing, API key management, alerts, watchlists, eSign flows, data-dense interfaces, email templates, and performance optimizations. Work independently from written design briefs while prioritizing correctness, speed, accessibility, and reliable loading, empty, and error states.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Build production-quality, pixel-accurate UI components and interactions in React Native; prototype in Figma with designers; own the design system and component library; improve performance, animations, and cross-platform UI architecture; define design-to-dev tooling and collaborate across design and engineering.

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

Build Plane's outbound engine end-to-end: source and enrich lists, run multichannel cold email and LinkedIn sequences, maintain deliverability, integrate LLMs and automation, sync CRM and route leads, instrument attribution, and optimize for reply rate and pipeline.