Top Engineering Jobs in Hyderabad

Own the functional safety lifecycle for hydrogen fuel cell systems from concept through release. Lead hazard and risk analyses, define safety goals and requirements, verify safety mechanisms and diagnostics, perform SIL/PL/ASIL calculations, compile certification safety cases, and interface with authorities, notified bodies, customers, and engineering teams. The role is fully on-site in Nyon, Switzerland.

Develop and support Guidewire insurance applications, including PolicyCenter and InsuranceNow, with expertise in Guidewire rating. This is a full-time remote role based in India, with immediate joiners preferred.

Build and maintain data foundations for AI agents, analytics, scorecards, and dashboards. Responsibilities include developing ingestion pipelines and enterprise connectors, modeling raw-to-mart layers, managing metadata and vector indexes, implementing data quality and lineage controls, and supporting governed data stores. The role also covers API integrations, incremental ingestion, security controls, testing, release activities, and data validation. Preferred experience includes RAG preparation, unstructured content processing, knowledge graphs, LLM applications, and regulated life sciences data.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, contribute to technical roadmaps, improve internal tooling and engineering standards, and create technical documentation. The role emphasizes highly available production services, data pipelines, customer-centric development, and fraud prevention or compliance domain expertise.

Develops software, configures and deploys systems, administers Linux and cloud infrastructure, manages containers and CI/CD pipelines, integrates applications and APIs, and troubleshoots issues across application, database, network, and infrastructure layers. The engineer owns technical solutions from investigation through deployment and verification, automates operational tasks, documents systems, and collaborates directly with technical and non-technical stakeholders.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Design, develop, test, audit, and deploy smart contracts and dApps. Integrate wallets, blockchain APIs, and Web3 infrastructure. Optimize for performance and gas efficiency, collaborate with cross-functional teams, monitor production systems, research emerging protocols, and document technical specifications.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Develop and maintain headless eCommerce storefronts using Next.js and Salesforce Commerce Cloud, integrate with SFCC APIs and third-party services, build responsive SEO-friendly web apps, collaborate with UX/backend/QA, and optimize storefront performance.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Design, develop, deploy, and maintain scalable distributed systems, real-time platforms, data pipelines, and analytics tools. Build data extraction, transformation, and loading systems using SQL and big data technologies. Work across low-level systems and distributed architectures, collaborate with data science and product teams, and mentor junior engineers.

Build and deploy production AI systems, agents, APIs, backend services, data pipelines, and models. Work directly with customers to translate business challenges into technical solutions, automate workflows, run experiments, measure outcomes, and iterate quickly. The role requires strong software engineering and system design fundamentals, AI knowledge, cloud or Kubernetes familiarity, comfort with ambiguity, and strong communication skills.

Develop, train, evaluate, and deploy small task-specific ML models for real-time English conversational skills (ASR, pronunciation, grammar, recommendations). Create datasets and task-specific evaluations, improve internal SOTA, mentor engineers, and contribute to hiring.

Train and deploy small, task-specific ML models for realtime English conversational-skill applications. Create datasets and task-specific evaluations, improve internal SOTA, develop ASR and speech-feedback metrics, iterate experiments, ship production systems, and collaborate cross-functionally while helping hire as the team grows.

Develop and deliver OutSystems applications, translate stakeholder requirements into technical specifications, lead software development lifecycle activities, conduct code reviews, mentor developers, promote best practices, and lead project meetings to ensure milestones are delivered on time.

Design, implement, and maintain blockchain infrastructure and dApps. Develop and review smart contracts, optimize consensus and cryptography for scalability and security, troubleshoot performance and reliability issues, and collaborate with product and design teams to deliver features while staying current with blockchain advancements.

Design and execute comprehensive test plans for dApps and smart contracts, perform unit/integration/end-to-end testing, run security audits and vulnerability assessments, automate tests within CI/CD pipelines, monitor quality metrics, debug issues, and collaborate with developers and product managers to ensure reliable DeFi/EVM-compatible applications.

Own the product’s engineering end to end as the sole initial engineer. Build and operate the AI coaching system, including prompting, conversation state, retrieval, model evaluation, moderation, and crisis safety mechanisms. Develop the Python backend, React Native mobile apps, React website, subscriptions, infrastructure, CI/CD, monitoring, and releases. Translate technical decisions for a nontechnical founder and clinical team while maintaining strong privacy, security, product quality, and responsible AI practices.

Develop AI-powered product features for local discovery, including personalized recommendations, content curation, search, and ranking. Build data pipelines by scraping, cleaning, and structuring datasets for machine learning models. Collaborate with product, design, and engineering teams to integrate AI into the platform, while continuously improving machine learning capabilities and user experiences.

Develop and customize Salesforce applications using Apex and Lightning components. Collaborate with cross-functional teams to translate business requirements into technical solutions, implement best practices, improve system performance, conduct unit testing and troubleshooting, and maintain existing Salesforce applications.

Seeking senior software engineers with proven expertise in at least one technical area, including AI/ML, LLMs, data, full-stack or backend development, automation, cloud infrastructure, and DevOps. Responsibilities include solving complex problems independently, collaborating across technologies, and delivering production-quality projects in a startup environment. Engagements may be project-based or ongoing.

Provide technical support for database and AI infrastructure, troubleshooting data modeling, query performance, Kubernetes clusters, cloud and on-prem environments, networking, storage, APIs, and RAG systems. Analyze logs, identify root causes, debug product issues, collaborate with Engineering, Product, QA, and Customer Success, document solutions, and explain technical concepts to customers. Requires strong database, cloud infrastructure, Linux, scripting, communication, and problem-solving skills.

Develop and implement scalable Adobe Experience Manager solutions, including reusable components, templates, workflows, integrations, and frontend features. Manage Cloud Manager CI/CD pipelines, deployments, testing, performance optimization, accessibility, security, upgrades, and production support. Collaborate with Agile teams, document technical solutions, transfer knowledge to client teams, and mentor junior developers. The role requires strong AEM Cloud Service, Java, HTL, OSGi, Sling Models, frontend, DevOps, and integration experience.