Top Java Developer Jobs in Gurgaon

The Software Engineer will join an agile team, developing and delivering scalable SaaS services, focusing on backend microservices and testing. Candidates should be problem solvers with strong collaboration skills.

Lead and scale backend and platform teams building Java-based, cloud-native distributed systems for a CCaaS product. Drive architecture, reliability, performance, and cost optimization. Manage hiring, coaching, delivery, OKRs, and cross-functional collaboration with Product, DevOps, QA, and Support.

Lead backend design, architecture, development, and production deployment of scalable microservices. Build reliable services consumed by other teams, improve engineering practices, mentor peers, monitor production, and resolve critical issues while collaborating with Product, DevOps, and cross-functional stakeholders.

The Senior Software Engineer role involves developing features, using AI tools for coding, mentoring engineers, and enhancing code quality at Payoneer.

Lead the development of backend systems using .NET Core within a microservices architecture while mentoring junior engineers and driving project success.

Design, build, and maintain scalable full‑stack applications for capital markets and asset management. Collaborate with stakeholders to gather requirements, develop React front ends and Python/Java back ends, integrate with financial systems, optimize SQL data processing, automate reporting and workflows, ensure performance, security and compliance, and participate in code reviews, testing, deployment, and production support.

Design, implement, and optimize Coveo-powered search across Agilent digital properties. Build Coveo integrations, query pipelines, analytics-driven relevancy improvements, merchandising rules, AI/ML model tuning, and AWS-based ETL pipelines. Partner with product, content, commerce, data, and platform teams to improve content discoverability, search-driven conversion, and measurable customer outcomes.

Design, implement, and optimize Coveo-powered search across Agilent digital properties. Build integrations, query pipelines, analytics-driven relevancy, merchandising rules, AI/ML model tuning, and AWS-based ETL pipelines. Collaborate with product, content, data, analytics, and platform teams to improve discovery, self-service, and conversion.

Design, implement, and maintain scalable automated test frameworks (Playwright and others), integrate tests into CI/CD, perform functional/regression/performance testing, analyze defects, and mentor QA engineers to improve release quality and velocity.

The Senior Backend Engineer will lead design and implementation of scalable backend solutions, improve engineering practices, and enhance production systems while collaborating with cross-functional teams.

Own customer escalations and production support for the Ciroos platform; deploy and configure AI SRE integrations; build alert normalization, correlation, and automation; troubleshoot distributed systems using logs, traces, and telemetry; collaborate with Engineering, Product, and Customer Success to enable migrations, go-lives, and platform improvements.

Design and architect scalable end-to-end data solutions (data lakes/warehouses, ETL/ELT, APIs), build low-latency pipelines, automate workflows with orchestration tools, implement data governance and quality, lead technical design reviews, and ensure security and compliance across cloud-native data platforms.

Design, build and maintain secure, scalable backend microservices using Java and Spring Boot. Work with MongoDB and PostgreSQL, GCP, Docker/Kubernetes, and observability/APM tools. Follow TDD and agile practices, document knowledge, collaborate across teams, and drive engineering best practices.

The Engineering Manager will lead a team focusing on backend development for a payment product, manage daily tasks, communicate with stakeholders, and foster team growth.

The role involves developing and maintaining automation test scripts, integrating tests into CI/CD pipelines, and collaborating in Agile teams to ensure product quality.

Responsible for full stack test automation and manual testing, ensuring robust QA processes in a CI/CD environment with AWS exposure.

Designs and implements backend microservices for a SaaS platform, emphasizing scalability, reliability, security, and testability. Leads small projects, reviews and optimizes code, works cross-functionally, maintains CI/CD pipelines, uses gRPC/Protobuf, documents systems, and operates services in cloud environments.

Founding member of an Experience Engineering team building full‑stack user experiences and backend services. Architect and deliver scalable systems, collaborate with product, implement CI/CD and testing at all levels, deploy via containerization and orchestration, and lead/mentor engineers to deliver high-quality production software.

Design, develop, and execute automated test scripts (UI, API, DB) using Selenium, Playwright, WebdriverIO. Integrate automation into CI/CD, troubleshoot scripts, track defects, and collaborate with Agile teams to improve test frameworks and coverage.

Design, develop, and modernize cloud-native full stack applications. Lead API/microservices design, containerized deployments, performance monitoring, and code reviews. Mentor junior developers and drive modernization programs and Agile delivery.

Design, develop, and modernize cloud-native full-stack applications using microservices, containers, and APIs. Lead modernization initiatives, perform code reviews, ensure performance/security, collaborate with architecture and delivery teams, and mentor junior developers.

Develop and maintain olx.in and international websites and back-office tools. Implement features in PHP, optimize MySQL, work with NoSQL, JavaScript/jQuery, and version control. Ensure OOP best practices, application security, and apply QA methods at the programming stage. Collaborate in an international team.

Develop and run Spark jobs in Java to process data loads from a data warehouse to data marts. Implement Core Java solutions (including multi-threading) and interact with SQL Server for data processing and persistence.

Develop and maintain Spark Java jobs to process data loads from a data warehouse into a data mart. Implement Core Java solutions including multi-threading, work with SQL Server for data operations, and collaborate with clients across multiple locations.

Design and develop distributed Big Data applications using Hadoop, Spark, and NoSQL. Build backend services with Java, Spring and J2EE, applying OOAD. Develop SOA/REST webservices and work across technology domains. Participate in data modeling and integrate with application servers and BRMS where required.