Top Java Developer Jobs in Gurgaon

Develop and maintain Java-based applications, provide L2 production support, troubleshoot application and database issues, perform root cause analysis, and implement permanent fixes. Support deployments and releases in Docker, OpenShift, and Kubernetes environments, monitor application health, analyze logs, optimize performance, and collaborate with business, infrastructure, and DevOps teams. Maintain technical documentation and operational runbooks while mentoring junior developers and interacting directly with clients.

Develop and maintain full-stack applications using React.js, Node.js, Java, AWS, MySQL, and DynamoDB. Build responsive frontend components, secure RESTful APIs, cloud-native services, and CI/CD deployments. Participate in Agile ceremonies, code reviews, troubleshooting, documentation, testing, and collaboration with product, design, QA, and DevOps teams. Use AI-assisted development tools for coding, testing, debugging, refactoring, and documentation.

Lead end-to-end design and development of a greenfield loan management platform using Java/Spring backend services, React interfaces, Kafka messaging, and distributed systems. Own features from specifications and JIRA stories through implementation, testing, observability, security, and production operations. Apply AI coding tools responsibly while shaping architecture, integrations, underwriting, disbursement, servicing, and regulatory reporting capabilities for a regulated lending product.

Leads complex MuleSoft integration and API projects from discovery through deployment. Designs scalable architectures, develops real-time and batch integrations, performs data mapping, troubleshoots legacy code, and creates reusable patterns and documentation. Facilitates client workshops, advises stakeholders, manages technical risks, demonstrates solutions, and collaborates with architects and consultants. Mentors junior developers and applies AI-assisted development to coding, debugging, automation, integration design, and documentation.

Develop and maintain Java web applications using legacy J2EE and modern microservices architectures. Build reusable backend code and responsive interfaces with JSP, JavaScript, React, and related frameworks. Perform code reviews, unit testing, test automation, API development, and database integration. Lead high-performing onsite and offshore teams, support enterprise clients, communicate with stakeholders, and deliver end-to-end solutions using Agile practices.

Designs and executes manual and automated tests for data ingestion, transformation, APIs, reporting, and end-to-end data flows. Validates ETL accuracy, business rules, API contracts, and data integrity using SQL, Databricks, Azure Data Factory, Postman, and Swagger. Manages defects, retests fixes, maintains regression coverage, supports release readiness, and collaborates with Product, Engineering, and Data teams to improve QA processes and automation.

Designs and executes manual and automated tests for data ingestion, ETL transformations, APIs, business rules, and reporting. Validates data integrity, pipeline outcomes, API contracts, and end-to-end workflows using SQL and cloud data tools. Documents and triages defects, supports root-cause analysis and fix validation, maintains regression coverage and traceability, and contributes to release readiness and QA process improvements while collaborating with Product, Engineering, and Data teams.

Develop and maintain high-quality Android applications across their full lifecycle. Responsibilities include writing reusable code, creating unit and UI tests, debugging and optimizing performance, monitoring stability with Crashlytics and ANR reports, implementing analytics tracking, supporting feature rollouts and A/B testing, maintaining legacy apps, and collaborating with Product, QA, Backend, and Design teams.

Lead enterprise backend architecture for scalable, distributed, cloud-native applications using Java, Spring Boot, and microservices. Define architecture standards, service boundaries, integration patterns, HLD/LLD designs, and cloud deployment strategies. Drive modernization, observability, CI/CD, security, performance, and resiliency initiatives across engineering teams. Provide technical leadership, conduct architecture and code reviews, mentor developers, and collaborate with stakeholders on technology roadmaps and enterprise solutions.

Develop software verification and validation strategies, test cases, and automated testing frameworks using Python and Java. Execute manual, exploratory, functional, non-functional, accuracy, reliability, and performance testing. Verify bugs, participate in Agile ceremonies, improve QA processes, and support product research activities while following SDLC, risk assessment, and compliance practices.

Develops software verification and validation strategies, test cases, and automated testing frameworks using Python and Java. Performs manual, exploratory, functional, non-functional, accuracy, reliability, and performance testing. Participates in Agile ceremonies, test planning, estimation, bug verification, and QA process improvements. Supports product research and ensures testing aligns with SDLC requirements, timelines, resource constraints, regulatory standards, and compliance expectations.

Develop and troubleshoot software for new and existing products, coordinate releases and installations, resolve technical issues, support testing and quality controls, and monitor software security. The role also analyzes system requirements, performs post-release health checks, prepares project status reports, and collaborates with engineering teams and customers to address problems and improve performance.

Provides technical leadership and hands-on engineering for mission-critical enterprise platforms. Leads architecture reviews, cloud modernization, identity and security architecture, distributed systems design, Java and Spring Boot development, database optimization, and technical governance. Drives scalable microservices, performance and resiliency testing, observability, capacity planning, modernization roadmaps, and cross-team technical initiatives while mentoring senior engineers.

Lead quality engineering vision and roadmap across product lines, drive CI/CD and release readiness, embed shift-left/shift-right practices, adopt AI-driven testing, mentor SDET managers, align quality metrics with executives, and architect test strategies for distributed systems and mobile.

Independently develops robust UI features for a cloud-native network management platform, focusing on architecture, performance, secure coding, and service integration. Owns UI test automation and CI/CD using Docker, Kubernetes, Helm, and related tools. Uses Agentic AI in development, coaches junior engineers, and contributes to modern web technologies including JavaScript, React, and Node.js.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.

Design, build, test, deploy, and maintain innovative distributed software systems. Lead technical direction and feature roadmap for a critical international expansion function, optimize service performance and security, and operate in an agile environment. The role includes significant autonomy, cross-functional communication, and opportunities to hire and shape the engineering team. Candidates should have strong computer science fundamentals, modern software development experience, and familiarity with cloud, databases, frontend frameworks, machine learning, and DevOps technologies.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build and maintain Apache Camel routes and Spring Boot integration services connecting ERP, fulfillment, commerce, EDI, PLM, and data platforms. Own production troubleshooting across systems, including queues, retries, idempotency, and dead-letter handling. Deploy through Azure Kubernetes Service using Helm and related tooling, query PostgreSQL, review code, document fixes, and collaborate with India-based ERP and data teams. The role requires daily use of AI coding agents and reliable evening IST overlap with U.S. Mountain Time.

Develop and own highly scalable backend services for IoT, order, and payment systems. Responsibilities include Java and Python development, distributed systems design, database and cache optimization, event-driven architectures, production troubleshooting, observability, incident response, reliability improvements, and collaboration with Infrastructure, QA, and Product teams.

Leads enterprise architecture for scalable, multi-tenant SaaS systems and cloud-native platforms. Owns AWS architecture, distributed data pipelines, cost optimization, security, governance, and architectural standards. Drives GenAI and machine learning adoption across the software development lifecycle, builds self-service capabilities, guides engineering teams, conducts prototypes, and leads architecture reviews. Requires deep hands-on cloud, distributed systems, coding, infrastructure automation, AI/ML, and strategic technology leadership experience.

Owns technical direction for backend services and high-throughput content-processing pipelines. Designs scalable production systems, evaluates AI/ML integrations, leads cross-team architecture initiatives, and drives systems from requirements through operations. Responsibilities include monitoring reliability, troubleshooting production issues, mentoring engineers, leading RFCs and architectural reviews, and raising engineering standards through technical leadership.

Investigate, diagnose, test, document, and resolve SaaS application bugs across production and change releases. Create test cases, perform regression and sanity testing, analyze logs and databases, support monitoring and alerting, coordinate with development and infrastructure teams, and manage defects through closure. The role includes service management, root-cause analysis, security testing support, knowledge documentation, AI tool adoption, and on-call production support.