Top Java Developer Jobs in Bangalore

Provides technical leadership for enterprise-scale software platforms and distributed systems. Designs, develops, and deploys scalable cloud solutions; establishes engineering standards; leads modernization, automation, observability, and reliability initiatives; evaluates emerging technologies; mentors engineering teams; manages technical risks; and partners with cross-functional stakeholders on technical roadmaps. The role also develops AI-powered solutions using no-code, low-code, and advanced platforms.

Develop and maintain Java 21/Spring Boot microservices and React/TypeScript frontends. Manage Terraform infrastructure deployed to AWS ECS, produce secure production code, contribute to architecture, analyze data, and improve software quality through testing, automation, and authorized AI-assisted development. Collaborate within an agile team while supporting application resiliency, security, and continuous improvement.

Design, develop, test, and deploy enterprise Java applications using Spring Boot, Azure, REST APIs, microservices, and SQL Server. Integrate generative AI and intelligent automation, support CI/CD pipelines, troubleshoot production issues, optimize performance, participate in code reviews, and contribute to technical documentation and architecture. Collaborate with product, architecture, business analysis, and DevOps teams to deliver secure, high-quality cloud-native software.

Provides hands-on technical leadership for enterprise applications and AI-enabled solutions. Designs full-stack systems, REST APIs, cloud-native services, reusable AI lifecycle utilities, and scalable architectures. Leads projects through development, testing, deployment, and production support while promoting DevOps, automation, security, observability, and performance practices. Mentors engineers, removes technical roadblocks, collaborates cross-functionally, and evaluates emerging technologies.

Design and develop Java full-stack applications, cloud-native microservices, REST and streaming APIs, and AI-driven LLM capabilities. Build workflow orchestration with Camunda and deploy services on AWS using technologies such as Lambda and ECS. Improve production stability through automation, observability, resiliency, and secure engineering practices. Collaborate within an Agile team and use authorized AI-assisted development tools responsibly while validating generated outputs.

Design, build, test, and deploy high-volume, low-latency Java backend services for global in-store payment systems. Develop scalable and resilient architectures, integrate payment systems, monitor performance KPIs, optimize bottlenecks, contribute to technical roadmaps, and collaborate with platform, data, product, and merchant-facing teams. Provide technical leadership and mentorship while ensuring high availability, fault tolerance, API security, and strong customer outcomes.

Develop and maintain scalable full-stack applications using Java, Spring Boot, React, Python, and AWS. Build cloud-native solutions, integrate generative AI and LLM capabilities, and use authorized AI development tools responsibly. Participate in design, code reviews, testing, troubleshooting, CI/CD, automation, and operational remediation. Collaborate with cross-functional teams, apply secure development practices, and guide peers in validating AI-generated outputs. The role requires experience with databases, messaging, containers, Kubernetes, and enterprise software development.

Leads a software engineering team delivering secure, scalable technology solutions for financial services. Provides technical guidance, manages dependencies and stakeholders, and ensures compliance with business and service requirements. Designs distributed applications using Java and related technologies, drives agile and continuous delivery practices, and supports automation and testing. Leads responsible adoption of enterprise-authorized AI-assisted engineering tools, establishing validation, security, governance, and reuse standards across teams.

Develop and support secure, scalable full-stack applications using Java, React, Spring Boot, AWS, APIs, Kafka, and MQ. Gather requirements, design, code, test, implement, and maintain business-critical systems while collaborating with global technology teams. Use enterprise-approved AI development tools responsibly, validate generated outputs, and build production-grade agentic AI applications involving prompt engineering, tool calling, orchestration, evaluation, and monitoring.

Develop and maintain Java backend services, APIs, and microservices using Spring Boot. Write SQL queries, stored procedures, and data-access logic, preferably with PostgreSQL. Support scalable distributed systems, CI/CD with Git and Jenkins, cloud-aligned development, troubleshooting, debugging, and cross-functional collaboration.

Leads a team of software engineers developing secure, scalable financial technology solutions using Java and Python. Responsibilities include system design, coding, code review, testing, production support, troubleshooting, automation, AI-assisted engineering adoption, vendor evaluation, and maintaining application resiliency and security within an agile SDLC.

Build and maintain high-performance distributed payment platforms handling millions of transactions. Own functionality end to end, from architecture and design through production launch. Improve system scalability, resilience, reliability, and security while collaborating across teams and time zones. The role involves Java development, code reviews, testable code, and financial infrastructure supporting global merchants and consumers.

Design, develop, test, and maintain Java and Angular software applications. Translate business requirements into secure, scalable technical solutions, collaborate with Product, QA, and Operations teams, and support Agile delivery, CI/CD, deployments, monitoring, and production activities.

Design, develop, test, maintain, and support secure, scalable Java and Angular software applications. Translate business requirements into technical solutions, collaborate with Product and QA teams, participate in Agile delivery, and support CI/CD, deployment, monitoring, and production activities.

Lead development and support of an asset and liability platform for risk evaluation and business activities. Design, develop, test, debug, and maintain secure production software using Java and Python. Provide technical guidance, review code, improve SDLC automation, govern AI-assisted engineering practices, and influence application architecture and operations. Serve as a subject matter expert while promoting secure coding, testing, cloud-native practices, and engineering standards across teams.

Lead architecture and development of highly distributed, enterprise-scale cloud security systems. Establish coding, testing, observability, and CI/CD standards; guide technical decisions; and drive cross-team initiatives in performance, reliability, and technology adoption. Build Java and Go services using microservices, databases, cloud infrastructure, identity and access management, and fault-tolerant distributed systems. Apply AI/ML and agentic AI technologies to improve engineering outcomes.

Lead software engineer responsible for full-lifecycle Java development, cloud adoption, infrastructure automation, CI/CD, release and stakeholder management, and production L3 support. The role leads secure adoption of AI-assisted engineering practices, validates AI outputs, manages technical requirements and design documentation, and contributes across agile software delivery. Strong experience with Java, public cloud, Linux, Terraform, Ansible, Git, and CI/CD is required; kdb+/q and financial messaging knowledge are preferred.

Designs, develops, operates, and scales secure data platforms, backend systems, pipelines, and distributed services. Provides technical leadership, reviews code, influences architecture, and serves as a subject matter expert in data processing, storage, and reliability. Leads enterprise adoption of AI-assisted engineering and SDLC automation by establishing governance, security controls, quality gates, and measurable outcomes. Collaborates across global teams and promotes scalable engineering practices and technologies.

Develops secure, scalable Java software for JPMorganChase’s Asset and Wealth Management Technology team. Responsibilities include application design, coding, troubleshooting, architecture documentation, testing, data analysis, and operational stability. The role uses AWS services, Cassandra, microservices, distributed systems, messaging, observability tools, and enterprise-authorized AI coding tools. It requires evaluating AI-generated outputs for correctness, performance, security, and responsible use within agile software development workflows.

Develops and operates reliable, scalable applications and platforms for a financial institution. Responsibilities include coding, incident response, root-cause analysis, toil reduction, observability, SLO monitoring, alerting, CI/CD, container orchestration, networking troubleshooting, and secure use of enterprise-authorized AI for incident triage and reliability improvements.

Design, build, test, deploy, and support secure, scalable backend services, APIs, and event-driven solutions. Develop React applications, resolve production and performance issues, own services throughout their lifecycle, and collaborate with Product, Architecture, Security, and Platform teams. Provide technical leadership through mentoring, stakeholder engagement, knowledge sharing, and continuous engineering improvement.

Design, develop, test, document, deploy, and support enterprise software throughout its lifecycle. Collaborate with developers, analysts, project managers, QA, and customers; evaluate requirements and solution feasibility; build Java backend services and integrations; perform unit testing and technical reviews; support defects, releases, and upgrades; improve processes; and mentor software engineers. The role also involves leading Scrum teams and applying Agile and SAFe practices.

Design, build, test and deploy Java-based Spring Boot microservices and real-time Apache Kafka streaming solutions. Integrate with mainframe data, MySQL persistence, and Azure PaaS. Implement fault-tolerant, idempotent processing, retries and dead-letter handling, write unit/integration/performance tests, and collaborate with DevOps while guiding an offshore team to modernize legacy mainframe systems.

Designs, builds, tests, releases, and supports secure, scalable Java and Spring Boot backend services, APIs, and event-driven microservices. Provides technical architecture across multiple business domains, manages software delivery and quality, applies secure cloud and integration patterns, and contributes to CI/CD and production support. The role also provides technical leadership, trains engineers, and collaborates with geographically distributed teams.

Analyze and modernize COBOL-based mainframe applications by converting business logic into Java applications, microservices, and cloud-ready solutions. Develop, test, deploy, document, and troubleshoot enterprise Java systems while maintaining functionality, performance, and data integrity. Collaborate with architects, business analysts, users, and testing teams throughout migration, integration, and production support activities.