Top Engineering Jobs in Hyderabad

Lead mechanical design for consumer electromechanical products from concept through production. Responsibilities include CAD modeling, prototyping, testing, thermal/fluid/structural analysis, cross-functional collaboration, DFM/DFA, tolerance analysis, and manufacturing ramp support in Asia. The role requires designing plastic, metal, and soft goods components integrated with sensors and actuators, supporting high-volume manufacturing, and traveling to China as needed.

Develop and maintain scalable full-stack web applications across backend, frontend, databases, APIs, and cloud platforms. Responsibilities include designing applications, building services and responsive interfaces, optimizing SQL and NoSQL databases, integrating third-party services, troubleshooting production issues, writing secure maintainable code, and participating in testing, code reviews, and deployment. The role requires analytical problem-solving, understanding business requirements, effective communication, and adaptability across technology stacks.

Develop product positioning, messaging, technical content, presentations, demos, and go-to-market strategies for AI-powered semi-humanoid robotics. Collaborate with engineering, product, leadership, and business development teams to translate complex hardware and software capabilities into customer value propositions. Conduct market and competitor research, track industry trends, support sales enablement, and drive brand guidelines. Create technical decks, whitepapers, articles, case studies, videos, and event materials.

Own the production lifecycle for traditional ML and generative AI systems, including deployment pipelines, model registries, monitoring, retraining, governance, and incident response. Build reliable AWS-based infrastructure for LLM and agentic applications, establish observability and cost controls, and create operational standards, runbooks, and documentation. Partner with U.S.-based Data Science, Data Engineering, and Product teams while independently managing production workloads during India operating hours.

Design, build, test, and deploy production-grade agentic AI systems using Python, LangGraph, LangChain, AWS Bedrock, and orchestration tools. Integrate AI agents with APIs and business systems, implement memory and retrieval, establish observability and safeguards, and develop reusable SDKs and templates. Collaborate directly with clients to define requirements, run experiments, and rapidly deliver reliable AI solutions using modern software engineering, cloud deployment, and CI/CD practices.

Design, build, operate, and scale reliable cloud-native infrastructure for partner organizations. Manage Kubernetes clusters, CI/CD pipelines, observability platforms, infrastructure as code, and production incident response. Implement SRE practices including SLIs and SLOs, automate operational workflows using Go or Python, support 24/7 on-call coverage, and explore AI, AIOps, and GPU infrastructure. Contribute to technical documentation, presentations, and open-source projects.

Build and maintain high-quality frontend web applications using React and TypeScript, develop Node.js microservices, and collaborate with designers and backend engineers on new features. Responsibilities include implementing accessible and performant interfaces from Figma designs, integrating APIs, testing, writing reusable libraries, participating in code reviews, reducing technical debt, and contributing to engineering culture and team growth.

Hiring for multiple software engineering opportunities in Hyderabad, including fresher and experienced positions across Java, testing, Python, DevOps, AWS, full-stack development, data science, AI/ML, cybersecurity, Node.js, and React.js.

Own complex software engineering problems end to end, from architecture and prototyping through production. Build primarily backend systems while contributing across frontend, infrastructure, data, AI, and internal tooling. Design scalable systems, evaluate AI and LLM approaches, automate workflows, improve engineering practices, and help unblock teammates. The role requires strong independence, product judgment, broad technical ownership, and a focus on continuously improving system quality and development processes.

Serves as a technical authority for 5G NTN and hybrid satellite-terrestrial solutions. Leads presales engagements, RFP/RFI/RFQ responses, architecture design, customer workshops, demonstrations, trials, and system-level engineering analysis. Collaborates with operators, vendors, cloud providers, and partners on interoperability and feasibility. Supports solution sizing, pricing inputs, product strategy, and roadmap direction while applying expertise in 5G RAN, satellite systems, 3GPP standards, and cloud-native architectures.

Supports sales activities by designing satellite-based IP networks, delivering technical presentations and demonstrations, developing accurate proposals, and addressing customer technical issues. Performs system design, integration, network performance analysis, implementation support, training, and professional services engagements. Requires strong networking, telecommunications, RF, satellite communications, and troubleshooting expertise, with global customer support and travel of 40% or more.

Build and operate governed MLOps and LLMOps platforms on Databricks. Productionize ML and GenAI models, RAG pipelines, vector search, and inference services; implement CI/CD, data quality, security, lineage, observability, incident response, disaster recovery, and cost controls. Partner with data science, engineering, platform, product, and security teams to ensure reliable, secure, compliant, and cost-effective AI workloads across development, QA, and production environments.

Build governed Databricks Lakehouse foundations and productionize machine learning and GenAI solutions, including forecasting, anomaly detection, NLP, RAG, and predictive analytics. Develop reliable batch and streaming workflows, CI/CD, monitoring, governance, security, lineage, and semantic models. Collaborate with product, data, platform, and domain teams to deliver measurable customer value while meeting reliability, compliance, cost, and operational objectives.

Manages project sites as the primary customer and company representative. Oversees civil, structural, mechanical, and electrical work; testing, commissioning, performance testing, and plant handover. Coordinates contractors, labor, equipment, materials, procurement, schedules, budgets, quality, safety, security, administration, billing, and inventory. Prepares daily, weekly, and monthly work plans, monitors progress, develops corrective actions, supports solar installation documentation and scheduling, and provides administrative support to the project manager.

Own the platform powering AI voice agents, including runtime and orchestration, real-time voice infrastructure, enterprise security capabilities, evaluation and observability systems, and production reliability. Build Kubernetes and GitOps infrastructure, CI/CD, incident response, and self-service tooling. Integrate speech and LLM technologies while ensuring low latency, scalability, auditability, data isolation, and measurable agent improvement across regulated enterprise deployments.

Own quality for an AI-powered SaaS platform by designing and executing manual and automated tests, including functional, regression, exploratory, API, conversational AI, generative output, and workflow testing. Evaluate LLM responses for accuracy, consistency, safety, edge cases, and bias. Collaborate with engineering and product teams to debug releases, improve automation frameworks, and promote quality practices.

Own Plane’s infrastructure and operational architecture across cloud, multi-cloud, self-hosted, sovereign, and air-gapped environments. Lead Kubernetes, GitOps, CI/CD, security, observability, incident response, disaster recovery, database operations, compliance, cost optimization, and reliability. Build automated deployments and support secure AI workload infrastructure, including open-weight models. Partner across engineering teams to improve deployment speed, operational resilience, and developer experience.

Own the frontend architecture of Plane’s local-first, real-time client. Responsibilities include client-side state, synchronization, caching, offline behavior, conflict resolution, performance optimization, dense data views, collaborative editing, design systems, and engineering standards. Partner with product, design, and backend teams to deliver scalable features across work items, boards, and documents.

Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, PySpark, Python, and SQL. Transform large datasets, optimize data ingestion and queries, monitor pipeline performance, resolve data quality issues, support data modeling, document engineering standards, and contribute to cloud data infrastructure improvements. The role also involves collaboration with architects and senior engineers and requires familiarity with Azure Synapse, Delta Lake, governance, and security.

Develop agentic AI and generative AI solutions using Python, FastAPI, LLMs, RAG, AI agents, LangChain, and LangGraph. Build and deploy cloud-based applications on GCP, integrate vector databases, and implement CI/CD pipelines. The role requires strong software engineering experience and hands-on experience with agentic AI and GenAI technologies.

Develop and maintain high-performance backend services in Rust using asynchronous programming, REST APIs, databases, Redis, messaging systems, Docker, Kubernetes, and AWS. Responsibilities include writing tested and maintainable code, participating in code reviews, troubleshooting production issues, optimizing performance, implementing monitoring and error handling, and collaborating with senior developers, QA, DevOps, and product teams.

Design, develop, and maintain scalable web applications using Node.js. Lead and mentor UI and backend engineers, collaborate with product and design teams, conduct code reviews, troubleshoot complex issues, and optimize application performance. The role also requires applying engineering best practices, working with RESTful APIs and cloud technologies, and staying current with industry trends. Preferred experience includes server-side rendering, Next.js, modern front-end build tools, performance optimization, and testing.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.

Design, build, and scale production AI agents across EveryWatch. Own the agent roadmap, architecture, shared tools, memory, state, observability, evaluation, and cost controls. Harden WatchChat, develop RAG and tool-calling systems, establish measurable quality standards, and ship solutions directly in Python. Collaborate with sales, product, data, and engineering teams to identify high-impact use cases and take agent concepts from discovery through production.