Top Engineering Jobs in Hyderabad

The ASIC Design Engineer will develop and implement SoCs, optimize performance, work closely with teams across ASIC development, and debug on FPGA platforms.

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

Looking for a Full Stack Developer with experience in Java, Spring Boot, React JS, and Microservices to develop scalable web applications and ensure smooth CI/CD processes.

As a Machine Learning Engineer, you will solve business problems using machine learning and AI, develop POCs, and support team growth through collaboration and knowledge sharing.

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.

The role involves designing web applications using Java microservice architecture, enhancing case management systems, and providing technical guidance in a collaborative environment.

Seeking an experienced IFM + Java Developer to build, enhance, and maintain financial applications, ensuring compliance and optimizing performance in a regulated environment.

The AI Engineer will design and automate business processes using n8n, manage workflows, and collaborate with teams on technical requirements and solutions.

As a Partner Deployed Engineer, you will enable Global Systems Integrators to deploy and scale AI solutions, leading technical training and supporting complex integrations while building strong relationships with partners.

Support the database operations team by executing SQL commands, managing database users, performing backups, scheduling jobs, and optimizing queries.

Develop, test, and maintain software applications using .NET and C#, collaborate with teams, and improve development processes.

Develop, maintain, and optimize Laravel-based web applications; integrate front-end components; implement RESTful APIs, security measures, and database solutions; participate in code reviews, debugging, and performance tuning while collaborating with cross-functional teams.

Lead integration of a React-based 2D product customizer into a Shopify Plus storefront: implement iframe communication, dynamic pricing, checkout metadata (line-item properties and thumbnails), webhook-driven production workflows, Liquid theme adjustments, HMAC-secured APIs, and mobile-optimized performance for a luxury e-commerce experience.

Design, build, and own end-to-end automation frameworks for web, API, and AI features. Create UI and API automation, performance tests, and deterministic validation for probabilistic ML outputs. Integrate tests into CI/CD, validate AI-generated outputs, and partner with Product and Engineering to ensure reliable, scalable image/video automation workflows.

The Customer Support Engineer will resolve technical challenges for customers involving AI solutions, collaborating with internal teams to improve offerings and ensure customer satisfaction.

Provide technical support and troubleshooting across PostgreSQL/TimescaleDB and full platform stack. Diagnose and optimise database performance, analyze query plans, implement TimescaleDB features, collaborate with customers and engineering, and document solutions. Participate in occasional on-call coverage and help improve platform reliability.

Design and develop cloud-based solutions using Kubernetes and microservices architecture. Troubleshoot issues, ensure code quality, and integrate APIs in a full-stack role.

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.

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

The role involves providing expert technical support, optimizing workflows with Zendesk, troubleshooting complex issues, and mentoring junior engineers in a growing cybersecurity firm.

The AI Engineer will develop, deploy, and optimize machine learning models for environmental and industrial applications, focusing on real-time object detection and classification.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.