Top Java Developer Jobs in Bangalore

Designs, implements, and troubleshoots secure, scalable Java-based applications using AWS, Kafka, Hibernate/JPA, and both SQL and NoSQL databases. Produces architecture artifacts, analyzes large data sets for improvement, applies SDLC and CI/CD practices, uses enterprise AI-assisted development tools responsibly, and contributes to engineering communities and team culture.

Lead software engineer responsible for designing, developing, and maintaining secure, scalable Java/AWS applications. Drive CI/CD, automation, and AI-assisted engineering adoption; produce high-quality production code; perform code reviews and debugging; improve operational stability through automation; evaluate vendors and coach teams on secure, responsible AI usage and resilient development practices.

Develop, design, and troubleshoot secure, high-quality code within an agile team. Use SDLC tools (including enterprise AI-assisted tooling), analyze large datasets for problem identification, and apply CI/CD, resiliency, and security practices while learning system processes.

Designs, develops, debugs, and maintains secure, production-quality code and system architectures. Uses enterprise AI-assisted development tools, contributes to SDLC, builds microservices with Java/Spring Boot, works with SQL/NoSQL and Kafka, and analyzes data to improve resiliency, security, and operational stability.

Develop, troubleshoot, and maintain secure, high-quality software components within an agile team. Use enterprise-authorized AI-assisted development tools, participate across the SDLC, build and test systems considering upstream/downstream impacts, and work with large datasets to inform secure, stable application development.

Designs, develops, debugs, and delivers secure, scalable backend systems using Java/Spring Boot and AWS. Produces architecture artifacts, leverages AI-assisted development tools responsibly, applies CI/CD and DevOps practices, and implements monitoring and observability to ensure operational stability.

Designs, implements, debugs, and maintains secure, high-quality Java-based applications and Drools rule engines. Integrates rules with upstream/downstream systems, leverages AI-assisted coding tools, produces architecture artifacts, analyzes data for improvements, and ensures operational stability and rule firing traceability.

Lead a software engineering team to design, build, and deliver secure, scalable cloud-native applications. Contribute hands-on code, drive architecture reviews, improve resiliency and automation, adopt AI-assisted engineering practices, and promote engineering standards and observability across delivery.

Maintain and improve on-premise Process Mining application, ensure stability, security, and reliability, support customer migrations to Celonis cloud platform, automate development processes, mentor teammates, and drive engineering culture improvements.

Lead backend engineering efforts to design, implement, and deliver cloud-native, microservices-based systems. Provide technical leadership, own project delivery, improve engineering practices, collaborate across teams, and innovate with data and AI-driven solutions.

Lead architecture and development of cloud-native, distributed microservices for Celonis' Process Intelligence Platform. Own end-to-end designs, drive technical vision, build integrations and scalable data pipelines, mentor engineers, and address enterprise concerns like security, compliance, scalability, and technical debt.

Design, develop, test, and maintain secure, high-quality production code and data pipelines. Produce architecture and design artifacts, analyze large datasets, build visualizations and reports, and use AI-assisted development tools while ensuring secure, scalable, and stable systems.

Lead design and deliver scalable, secure Java full‑stack solutions; write and review production code; drive adoption of AI‑assisted engineering; own resilience, observability, cloud, and microservices practices; evaluate vendors and lead engineering communities of practice.

Designs, develops, tests, and troubleshoots secure, scalable Java full-stack applications. Produces architecture artifacts, analyzes large datasets for improvements, uses enterprise AI-assisted tools responsibly, and contributes to team practices and code quality.

Designs, develops, tests, and troubleshoots secure, high-performance Java applications within an agile team. Produces architecture and design artifacts, works with large datasets for insights, uses event-driven messaging (Kafka), maintains Linux/containerized/cloud systems, and leverages enterprise AI-assisted development tools while ensuring secure, reliable production delivery.

Lead an agile engineering team to design, build, test, and support secure, scalable Java/Spring Boot services. Drive adoption of AI-assisted engineering practices, use AWS cloud and AI services, guide architecture and code quality, and serve as a function-wide technical SME.

Design and build high-performance, secure, and scalable backend APIs and microservices. Collaborate with frontend teams, own CI/CD and deployment practices, and drive long-term system architecture and reliability.

Designs, develops, tests, and maintains secure, scalable software across the SDLC. Produces architecture artifacts, debugs complex systems, leverages AI-assisted development tools, analyzes large data sets to improve code and architecture, and contributes to engineering communities while promoting secure and resilient application practices.

Join an agile team to design, develop, and troubleshoot secure, scalable software components. Write high-quality Java/J2EE/Springboot code, leverage AI-assisted development tools, apply SDLC and CI/CD practices, analyze large datasets, and contribute to application resiliency and operational stability in a corporate environment.

Lead technical design, develop secure high-quality production code, drive AI-assisted engineering practices, automate remediation, evaluate vendor architectures, lead communities of practice, and coach teams on observability and responsible AI use.

Designs, develops, and troubleshoots secure, scalable Java-based applications on AWS. Produces architecture artifacts, builds production-quality code, leverages AI-assisted development tools, applies IaC and CI/CD, analyzes data for improvement, and contributes to engineering best practices and team culture.

Designs, develops, debugs, and maintains secure, stable, and scalable applications using Java/J2EE and Spring Boot on AWS. Works on SDLC automation, leverages enterprise AI-assisted coding tools, applies troubleshooting, analyzes large datasets, and follows agile/CI-CD/resiliency and security practices.

Build and own backend data-pipeline components that collect, integrate, and enrich endpoint data at scale. Design, implement, test, deploy, and operate microservices and high-throughput Kafka-based pipelines on AWS. Collaborate with endpoint teams and product to deliver reliable, observable, and performant systems following DevOps and CI/CD practices.

Design, develop, and maintain secure, scalable backend systems; produce architecture and design artifacts; use Java/Spring/Kafka and DBMS; apply CI/CD and DevOps practices; leverage enterprise AI-assisted development tools while ensuring responsible, secure use and improving monitoring, logging, and system resiliency.

Design, build, and operate high-volume, low-latency Java backend services powering in-store payment flows. Architect for scale and resilience, implement monitoring and KPIs, drive engineering best practices, mentor engineers, and collaborate cross-functionally with product, data, and platform teams to deliver reliable payment features for global merchants.