Top Engineering Jobs in Hyderabad

Develop and enhance scalable web and mobile applications as part of an agile team. Implement RESTful APIs and microservices using Java (7+), Spring and Spring Boot, interface with backend services using JSON, and contribute to full-stack development when needed. Selected candidates may be deputed onsite later.

Develop and enhance web and mobile user interfaces using React.js. Build reusable cross-platform front-end components, translate designs into high-quality code, produce test coverage, collaborate in agile (SAFe) teams, participate in code/design reviews, debug and support applications across environments, and contribute to architecture and documentation.

Develop and maintain Node.js-based RESTful APIs and backend services; participate in design, code reviews, testing, and documentation; collaborate with product, QA, and cloud teams to deliver scalable microservice-based digital products in an Agile/SCRUM environment.

Design, build, and optimize Databricks-based big data pipelines and ETL workflows using Spark, SQL, and Python/Scala. Maintain data lakehouse architectures, enforce governance and security, automate CI/CD and IaC, monitor cluster performance, and collaborate with data teams to enable AI/ML workflows.

Design, architect, and build a multi-tenant bare-metal OpenShift cluster; define networking, storage, ingress, monitoring, and logging; produce architecture docs and SOPs; lead migration of on-prem and Azure workloads; enforce RBAC, tenant isolation, quotas and compliance; optimize GPU workloads; own platform stability, upgrades, and troubleshooting.

The Red Hat Ansible Engineer designs and implements automation strategies using Ansible, manages configuration, automates software deployment, troubleshoots issues, and ensures compliance with security policies while providing training and documentation.

The Software Engineer Frontend will design and implement user interface components, optimize performance, and collaborate with teams, ensuring a robust application.

Develop and maintain back-end web applications, ensuring efficient integration with front-end systems, optimizing performance, and collaborating with QA for testing.

Join ROOST's Coop project to design, implement, test, document, and release trust-and-safety features. Work across backend APIs, GraphQL, databases, and UI to improve reviewer workflows, detection integrations, and reporting. Lead code quality, security practices, community contribution reviews, and stakeholder coordination while engaging with users and the open source community.

Join the ROOST Osprey team to design, implement, test, and maintain a high-performance, real-time safety rules engine. Work includes building data/event pipelines, scaling and containerizing services, integrating with Kafka and gRPC, reviewing community contributions, maintaining code quality and security, and engaging with users and open source contributors to prioritize and deliver features.

Serve as the EDR SME to improve endpoint visibility, detection, and prevention across Windows, macOS, and Linux. Build and enhance SOAR workflows/playbooks, define roadmaps for Carbon Black, CrowdStrike, and SentinelOne, collaborate with SOC and SIEM teams, maintain endpoint security tools, assist customers with threats, and escalate incidents via ITSM.

Design, build, and maintain scalable backend services and APIs; optimize performance and data pipelines; architect and manage AWS infrastructure; document systems; ensure code quality through reviews; deploy containerized microservices and implement infrastructure-as-code and monitoring/alerting for production systems.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.

Build intuitive, high-performance React interfaces for AI-powered insurance workflows. Collaborate with design and backend teams, create reusable UI components and design systems, integrate frontend features with AI services (document review, entity extraction, quote comparison), rapidly prototype, and iterate based on user feedback.

Own internal IT systems: identity/SSO provisioning, device lifecycle and MDM/endpoint security, SaaS access and licensing, onboarding/offboarding, automation of IT workflows, internal networking, and support while contributing to security and compliance.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

Own and operate the production infrastructure and delivery platform for AI products. Implement infrastructure-as-code, run Kubernetes, manage CI/CD, ensure security, reliability, observability, and compliance (single-tenant, SOC 2). Build automation and guardrails to enable safe, fast shipping.

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Build and productionize AI features across frontend and backend: document review, entity extraction, quote comparison, embeddings and LLM integrations, prototype from customer feedback, and create scalable reusable systems for insurance workflows.

Provide technical leadership and hands-on engineering across AI, data, backend, and frontend systems. Drive architecture, remove technical risks, set engineering standards, mentor senior engineers, and influence cross-team technical direction.

Build and operate ingestion and transformation pipelines to turn messy insurance data into clean datasets. Design bronze/silver/fact layers, model and tune Postgres and analytical stores, define KPIs and reconciliation checks, orchestrate observable data jobs, and ensure end-to-end data quality for analytics and AI products.

Build AI-powered product features across backend, data pipelines, and UI. Implement RAG, embeddings, vector search, prompt design, and tooling to convert messy insurance documents into reliable, source-cited capabilities and collaborate with product and customer teams.

Lead reliability, scalability, and performance of cloud infrastructure. Own AWS architecture and CI/CD (GitHub Actions), automate deployments, maintain monitoring/alerting, support backend teams, troubleshoot production, and optimize cost and performance.

Design, develop, fine-tune, and productionize ML and Generative AI/LLM solutions. Build end-to-end ML pipelines (data ingestion, modeling, deployment, monitoring), implement RAG and vector DB architectures, apply prompt/context engineering and MLOps best practices, and collaborate with cross-functional teams to optimize models for performance, latency, scalability, and cost.

Lead frontend development for native iOS and Android apps using React Native. Turn Figma designs into high-performance screens, ship end-to-end releases to App Store and Google Play, optimize performance and startup time, design architecture and state management, own code quality and reviews, implement rich animations and gestures, integrate APIs and AI features, and maintain analytics, logging, and monitoring.