Top Engineering Jobs in Hyderabad

Build predictive and customer-satisfaction models, translate business questions into analytics projects, and develop production-grade machine learning solutions. Collaborate with data scientists and stakeholders, communicate analytical insights, and work with R, Python, Hadoop, Redshift, Spark, Azure, Azure ML, Terraform, and CI/CD pipelines. Preferred work includes PyTorch and image-model development and deployment.

Develop and customize Microsoft Dynamics 365 Sales and Power Platform solutions, including PowerApps, Power Automate flows, JavaScript customizations, plugins, integrations, data migrations, and CI/CD deployments. Integrate CRM with Workday, marketing platforms, and other systems. Manage Azure-hosted applications, troubleshoot production issues, support release planning, and collaborate with business and technical stakeholders. Build AI copilots using Microsoft Copilot Studio and apply modern AI-assisted development practices.

Design, develop, and maintain scalable batch and real-time data pipelines using Python and PySpark. Build cloud-based data processing solutions, CI/CD pipelines, and streaming systems while ensuring data quality, performance, and scalability. Collaborate with cross-functional teams to translate business requirements into reliable data architectures. The role involves technologies including Kafka, Flink, Kubernetes, Hadoop, Spark, MongoDB, and cloud platforms such as Azure, AWS, or GCP.

Develop and maintain .NET and .NET Core applications, build RESTful APIs, and design, deploy, and manage solutions on Microsoft Azure. Integrate databases and external services, write testable code, troubleshoot performance issues, and collaborate with QA, UI/UX, and product teams in Agile/Scrum ceremonies. The role also involves Azure services including App Services, Functions, Azure SQL, Storage, and Key Vault, with optional CI/CD, Docker, infrastructure-as-code, monitoring, and AWS experience.

Design, deploy, and maintain scalable machine learning systems on GCP. Build training and inference pipelines, automate CI/CD and model deployment with Vertex AI, manage model versioning and rollouts, monitor drift and performance, and support production troubleshooting. Collaborate with data scientists, engineers, and stakeholders to operationalize models, improve platform reliability, and document production-ready workflows.

Develop and maintain scalable full-stack applications using React.js, TypeScript, and Java. Build APIs and gRPC services, design SQL data models, integrate OpenAI capabilities, and deploy cloud-based solutions on Azure and AWS. Implement Terraform infrastructure, maintain CI/CD pipelines, use Git for version control, and develop automated tests with Playwright. Collaborate with cross-functional teams to deliver features and improve existing systems.

Designs, develops, and maintains scalable full-stack web applications using Node.js, Python, Angular, or React. Builds backend services and RESTful APIs, integrates third-party services, works with relational and NoSQL databases, performs testing and code reviews, deploys to cloud environments, and troubleshoots application performance issues while collaborating with UI/UX, DevOps, and QA teams.

Develop scalable Java and Spring Boot backend services, REST APIs, microservices, and Spark-based data pipelines. Build Snowflake data solutions, optimize ETL/ELT workflows, and create React or Angular enterprise dashboards. Integrate frontend and backend systems, implement testing, monitoring, CI/CD, and DevOps practices, and troubleshoot production issues. Collaborate with engineering, data, DevOps, and business teams on architecture, code reviews, performance tuning, and root-cause analysis.

Design, develop, and support scalable Java and Apache Spark data-processing applications and AWS ETL/ELT pipelines. Build batch and real-time solutions, optimize Spark performance, manage data ingestion and transformation, implement validation and monitoring, and troubleshoot production issues. Collaborate on architecture, testing, CI/CD, data modeling, code reviews, and root-cause analysis across engineering, DevOps, and business teams.

Owns QA automation across API, UI, integration, regression, and performance testing. Designs scalable Python-based automation frameworks, validates REST APIs and React applications, integrates tests into CI/CD pipelines, and analyzes performance results. Collaborates with product and engineering teams on test strategy, acceptance criteria, quality metrics, release readiness, and defect resolution. Maintains reusable test suites, supports cross-browser and accessibility testing, and improves coverage and testing processes.

Lead and provide operational direction for large-scale network and security operations teams. Design, deploy, and monitor datacenter security, troubleshoot network incidents, drive automation, support network deployments/upgrades, collaborate across IT disciplines, maintain documentation, and mentor security staff while improving processes and scalability.

Leads MEP planning, execution, vendor coordination, commissioning, testing, and project controls for large data center projects. Oversees HVAC, chilled water, plumbing, fire protection, and precision cooling systems; coordinates civil, electrical, BMS, contractors, and OEMs. Manages schedules, progress reporting, quantity take-offs, quality, safety, documentation, troubleshooting, integrated systems testing, and team development while ensuring reliable and timely project delivery.

Develop scalable backend solutions for fintech products, including APIs, microservices, and database integrations. Responsibilities include designing RESTful services, troubleshooting complex technical issues, optimizing performance, deploying applications on AWS, collaborating with cross-functional teams, and researching emerging technologies. The role requires strong Node.js expertise, cloud deployment experience, containerization knowledge, database optimization skills, and familiarity with software design principles.

Build and ship product features for government procurement and contract lifecycle software. Responsibilities include writing efficient Java code, applying data structures and algorithms, designing and managing SQL and NoSQL databases, using AI tools, debugging, testing, and owning software end to end.

Develop and deploy scalable Java applications across the full software development lifecycle. Build Spring and Spring Boot microservices, REST APIs, and AI-integrated features using OpenAI, Claude, and automation tools. Prototype frontend interfaces with Lovable, troubleshoot existing systems, collaborate with cross-functional teams, mentor junior developers, and contribute to engineering best practices.

Build and maintain CI/CD pipelines, deploy containerized applications on Azure, manage infrastructure as code, and administer production MongoDB. Implement monitoring, logging, security hygiene, and audit support while participating in on-call incident response. Automate workflows using Python or Bash and AI-assisted development tools, manage DNS and version control, and collaborate with distributed development teams.

Build and maintain Java software features under senior guidance, develop RESTful APIs and microservices with Spring and Spring Boot, integrate AI capabilities using OpenAI and Claude APIs, prototype frontend components with Lovable, debug systems, participate in code reviews, and collaborate with cross-functional teams while learning engineering best practices.

Build and maintain CI/CD pipelines, containerized deployments, and Azure infrastructure using Docker, Kubernetes, and Infrastructure as Code. Develop automation scripts, monitoring and centralized logging solutions, and implement infrastructure security practices. Collaborate with development, QA, operations, and security teams while troubleshooting systems, creating proofs of concept, and using AI-assisted coding tools to improve deployment and operational workflows.

Develop and maintain SAP ABAP solutions across ECC and S/4HANA, including end-to-end P2P and Accounts Payable implementations. Translate business requirements into technical specifications, conduct code reviews and testing, support deployments and hypercare, troubleshoot issues, and optimize solutions. The role requires expertise in RICEF, integrations, debugging, performance optimization, and SAP development best practices, with collaboration across functional teams.

Build and customize Shopify D2C storefronts from Figma designs through launch, ensuring responsive performance, speed, and conversion-focused UX. Manage Shopify apps, APIs, payments, analytics, and integrations while driving growth through Meta and Google advertising, SEO, email/SMS campaigns, conversion tracking, CRO, and A/B testing. Collaborate with design and content teams and own ongoing storefront optimization and revenue growth.

Designs, implements, and optimizes enterprise Amazon Connect contact center solutions using AWS serverless services, conversational AI, REST APIs, and enterprise integrations. Configures contact flows, routing, queues, analytics, recording, and agent workspaces; troubleshoots deployments for scalability, reliability, and security. Collaborates with customers and technical teams on requirements, architecture, workshops, demonstrations, proof-of-concepts, proposals, and go-to-market initiatives.

Build production front-end and full-stack applications for conversational, agentic, and generative AI experiences. Design real-time streaming interactions using WebSockets and SSE, create agent-readable interfaces, integrate LLM and orchestration backends, and deliver accessible, performant React and TypeScript applications. The role also shapes AI-native interaction patterns, mentors teams, and ensures compliance, security, reliability, and trust in a regulated environment.

Design and build scalable infrastructure for production-grade generative AI agents, including memory, context, state, session management, orchestration, agent-to-agent communication, tool integration, observability, reliability, security, and cost optimization. Collaborate with application, platform, and product teams to establish reusable frameworks and architectures for secure enterprise agentic systems.

Build and operate production Python and FastAPI services for extracting entities and relationships from biomedical documents, resolving entities, maintaining large-scale knowledge graphs, and combining graph and vector retrieval. Responsibilities include ontology design, deduplication, provenance, hybrid GraphRAG ranking, monitoring, and production support. The role requires expertise in knowledge-graph construction, applied NLP, entity resolution, graph databases, scalable retrieval, and cloud-native engineering.

Design and build secure, scalable enterprise application architectures spanning front end, backend services, databases, APIs, integrations, authentication, authorization, and RBAC. Define workflows, business logic, data models, persistence strategies, validation, logging, auditability, and transactional integrity. Develop backend services, collaborate with front-end teams, establish technical standards, conduct code reviews, and support testing, CI/CD, observability, and production operations.