Top Full Stack Developer Jobs in Hyderabad

Lead design and delivery of scalable onboarding and KYC systems for APAC: build automations and tooling to process identity data, implement cross-market KYC controls, use observability and analytics to improve conversion and operational excellence, and drive the team's technical roadmap.

Design, build, and maintain full-stack web applications using modern frontend frameworks and backend services. Work with databases, APIs, microservices, and cloud deployments while ensuring healthcare data privacy and compliance (HIPAA). Collaborate with product, data, and clinical teams, participate in testing, debugging, performance optimization, and support CI/CD and cloud monitoring.

Develop and maintain full-stack applications using Python and React/TypeScript. Responsibilities include backend service creation, API design, LLM integration, and building components. Ensure quality through testing and monitoring.

Design, develop, and maintain full‑stack applications using React frontend and Java backend (Spring Boot/microservices). Own end‑to‑end delivery, architect scalable systems, build REST APIs, optimize databases, drive CI/CD and cloud/container deployments, mentor engineers, lead troubleshooting and production support, and collaborate with product/QA/UX. Also develop AI-powered solutions using no‑code/low‑code platforms.

As a Python Developer, you will develop fullstack applications, manage backend systems, and collaborate to drive technical solutions that impact business results.

In this role, you will design and develop scalable software components, collaborate with product managers, and integrate automated testing, focusing on UI frameworks and AI tools to enhance products.

As a Lead Full Stack Engineer, you will design, build, and mentor on a platform for application development, focusing on backend services and frontend experiences. You'll leverage AI-assisted workflows and ensure operational excellence while collaborating with various teams.

Build responsive React UIs and Java/Spring Boot backends, design and integrate RESTful APIs and microservices, ensure code quality via testing and CI/CD, collaborate with Product/UX/DevOps, troubleshoot production issues, and follow secure coding and DevSecOps practices.

Design, build, and deliver end-to-end system features from UI to backend. Lead team decisions, implement best practices, mentor juniors, and collaborate across teams using cloud-first and agile methodologies to produce scalable, high-quality software.

Design, build, and deploy Java 17-based reactive microservices and event-driven systems using Spring Boot/Micronaut, Kafka, and Azure PaaS. Implement serverless workflows, APIs, and containerized deployments (AKS), integrate data services and messaging, apply CI/CD, and ensure reliability, scalability, and observability in cloud-native solutions.

Design, develop, and deploy Java 17-based reactive microservices using Spring Boot/Micronaut, integrate event streaming with Kafka and Azure messaging, implement serverless workflows, manage Azure PaaS hosting (AKS, App Service, Azure Spring Apps), build secure APIs, apply CI/CD, and ensure scalability, observability, and cloud-native best practices.

Design, develop, and deploy Java 17-based reactive microservices using Spring Boot/Micronaut, WebFlux, Reactor and Kafka. Build event-driven, cloud-native solutions on Azure (Functions, Event Hubs, Service Bus, APIM, AKS), integrate data services, implement CI/CD, and ensure scalability, performance, and observability while collaborating in agile teams.

Lead design and delivery of Java 17 microservices and cloud-native applications on Azure. Implement event-driven systems (Kafka, Azure messaging), CI/CD, containerized deployments (AKS), and integrate AI/LLM services. Manage engineering teams, refactor legacy systems to microservices, and collaborate with architects to ensure scalable, high-quality delivery.

Lead development of Java 17 Spring Boot microservices and cloud-native architectures; build event-driven solutions with Kafka/AWS messaging; refactor legacy systems; integrate LLM/AI services; deploy on AWS containers/compute; implement CI/CD and DevOps; manage engineering teams and ensure high-quality delivery.

Lead design and implementation of Java 17 microservices using Spring Boot and reactive frameworks. Build event-driven systems with Kafka and Azure messaging, modernize legacy apps to cloud-native, integrate LLM/AI services, implement CI/CD and DevOps practices, deploy on Azure PaaS/Kubernetes, and manage engineering teams for high-quality delivery.

Lead architecture and implementation of Java 17, reactive, microservices and event-driven applications on Azure. Design APIs, event contracts, and CI/CD; operationalize AKS, Kafka, and Azure PaaS; ensure scalability, security, observability, and mentor engineering teams.

Develop and deliver end-to-end Java full‑stack features from UX to backend, collaborate with clients and teams, provide SME guidance, lead decisions, implement best practices, and mentor junior engineers.

Design, develop, and deploy Java 17-based reactive microservices using Spring Boot/Micronaut and WebFlux/Reactor. Build event-driven integrations with Kafka and Azure messaging, implement serverless workflows, manage APIs and containerized deployments on Azure (AKS, App Service, Azure Spring Apps), and apply CI/CD, monitoring, caching, and cloud-native security practices to deliver scalable, resilient solutions.

Design, develop, and deploy Java 17-based reactive microservices using Spring Boot/Micronaut. Build event-driven solutions with Kafka and Azure messaging, implement serverless workflows, integrate secure APIs, apply DevOps CI/CD on Azure, and ensure scalability, observability, and performance for cloud-native applications.

Lead architecture and implement cloud-native, event-driven Java applications on Azure. Build reactive microservices (Java 17, Spring Boot, WebFlux/Micronaut), integrate Kafka and Azure messaging, deploy on AKS, ensure scalability, observability, security, and mentor development teams.

Lead architecture and delivery of Java 17 Spring Boot reactive microservices on Azure. Drive cloud modernization, define enterprise LLM/Agentic AI strategy, oversee event-driven platforms (Kafka, Azure messaging), ensure scalability/security, mentor engineering managers, and establish CI/CD and cloud automation practices.

Lead architecture and delivery of Java 17 microservices platforms, drive cloud modernization and enterprise AI adoption (LLMs/Agentic AI), oversee event-driven systems (Kafka/AWS), mentor teams, ensure CI/CD, security, scalability, and deploy applications on AWS container and serverless platforms.

The role involves developing scalable Java microservices using Spring Boot, deploying on AWS, and integrating with various cloud and AI services.

Develop and maintain Java 17 Spring Boot microservices, implement REST APIs and Kafka-based integrations, deploy to Azure (AKS/App Service), ensure code quality and performance, guide junior developers, collaborate on cloud-native architecture, and support integration of AI/LLM capabilities.

Manage and grow the activation fullstack team by setting context, resolving blockers, and ensuring quality outcomes. Guide engineering on coding, design, and architecture, while fostering a productive environment and maintaining team alignment with strategic goals.