Top Java Developer Jobs in Bangalore

Leads software engineering efforts within an agile banking technology team. Designs, develops, tests, debugs, and maintains secure, scalable Java-based distributed systems and microservices. Reviews code, improves operational stability, automates recurring remediation, and promotes resilient development practices. Guides responsible adoption of AI-assisted engineering tools, coaches teams on secure validation, and evaluates vendor and architectural solutions. Requires experience with Java, Spring Boot, Spring Cloud, event-driven systems, messaging platforms, CI/CD, application security, and financial services technology.

Leads software engineering within an agile banking technology team. Designs, develops, tests, reviews, debugs, and operationalizes secure Java distributed systems. Drives adoption of approved AI-assisted engineering tools, establishes validation and responsible-use standards, automates recurring issue remediation, and improves application resiliency. Evaluates vendor and internal architectural solutions while supporting software development lifecycle practices, CI/CD, security, and cloud-native delivery.

Lead development and deployment of production-grade internal and customer-facing software, including scalable Big Data pipelines and cloud-native services. Responsibilities include Agile delivery, CI/CD, automated testing, defect analysis, production monitoring, stakeholder demonstrations, backlog planning, and 24/7 product support. The role requires strong Java backend development, Flink and Kafka expertise, REST APIs, AWS and Kubernetes deployment, databases, and DevOps practices.

Leads software engineering initiatives, designing, developing, testing, debugging, documenting, and deploying high-performance Java applications. Provides technical leadership, resolves complex challenges, guides less experienced engineers, and contributes to modernization and transformation efforts. The role emphasizes Java, Spring, REST APIs, microservices, cloud, DevOps, databases, and real-time data technologies, with financial services experience in prime brokerage or capital markets preferred. The position requires working in-office in Bangalore or Hyderabad.

Develops secure, scalable software solutions within an agile team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, AI-assisted development, data analysis, visualization, and improving software quality and system resilience. The role requires experience with system design, modern programming languages, databases, SDLC practices, CI/CD, application resiliency, security, and responsible use of AI engineering tools.

Develops secure, scalable software solutions within an agile team, including architecture, coding, testing, troubleshooting, and operational stability. Uses enterprise-authorized AI development tools responsibly for code generation, refactoring, testing, and documentation. Analyzes large datasets to improve application quality and system architecture while maintaining secure coding, resiliency, and SDLC standards. The role also involves modern front-end technologies and potential cloud exposure.

Leads development of secure, high-performance Java systems for latency-sensitive applications. Designs architecture, writes and reviews code, develops automated tests, translates business requirements, and drives technical and architectural reviews. Works with distributed systems, messaging, databases, and low-latency technologies. Promotes responsible AI-assisted engineering, validates security and performance, and mentors, recruits, and coaches team members.

Develops and integrates complex Java and full-stack software components for aviation systems. Provides technical leadership, estimates and delivers sprint work, supports backlog refinement, manages risks and change requests, and ensures quality through testable design, unit and integration testing, debugging, and automation. The role also involves prototyping, evaluating technical feasibility, supporting cloud and asynchronous workflows, and collaborating with product owners and engineering teams under minimal direction.

Develops full-stack Java applications for complex aviation systems using modern web, cloud, messaging, and CI/CD technologies. Responsibilities include designing testable software, writing unit and integration tests, estimating and delivering sprint work, refining requirements, addressing risks, evaluating prototypes, and supporting reliable event-driven integrations. The role requires collaboration with Product Owners and Agile teams, troubleshooting, change management, and delivery of high-quality software.

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.

Provides enterprise technical leadership for modernizing GRC, Testing & Monitoring, and Audit platforms. Defines target-state architecture, reusable services, shared data capabilities, Java microservices, React applications, and AI-enabled platforms. Leads adoption of Generative AI, Agentic AI, RAG, Knowledge Graphs, and intelligent automation while ensuring scalability, security, resiliency, auditability, and regulatory compliance. Remains hands-on through architecture reviews, prototyping, code reviews, complex problem resolution, mentoring, and stakeholder engagement.

Leads software engineering within an infrastructure platforms team, developing and operating secure, cloud-native solutions using Golang and/or Java, Kubernetes, and public cloud platforms. Provides technical guidance, reviews code, drives automated testing and validation, improves operational stability, evaluates architectures, and promotes reusable engineering practices. Leads responsible adoption of AI-assisted development tools while ensuring security, correctness, resilience, and compliance across the software development lifecycle.

Leads and mentors software engineers while designing and implementing secure, scalable REST APIs and cloud-native microservices using Java and Spring. Oversees architecture, coding, troubleshooting, code reviews, Agile delivery, CI/CD, application resiliency, and security. Drives responsible adoption of AI-assisted engineering tools, SDLC automation, and reusable development practices. Collaborates with business and technical stakeholders to deliver enterprise applications in a distributed environment.

Develop secure, high-quality software and supporting infrastructure for Chase UK’s digital banking platform. Responsibilities include system design, application development, testing, troubleshooting, CI/CD and developer-experience improvements, architecture documentation, data analysis, and operational stability. The role also involves Atlassian SaaS administration, SSO and SCIM integrations, and Terraform-based infrastructure provisioning while collaborating with distributed engineering teams.

Design and develop scalable Java/Kotlin and Python microservices, APIs, and Databricks-based batch and streaming pipelines for communications compliance. Build data models, detection workflows, tests, CI/CD automation, and observability solutions using Spark, Delta Lake, AWS, Kafka, and ML/LLM technologies. Improve alert accuracy, operational performance, and engineering governance while partnering with product and compliance teams and mentoring engineers.

Leads enterprise QA delivery, test strategy, automation architecture, quality governance, and AI-assisted engineering practices. Oversees functional, API, UI, integration, performance, and data validation testing; governs metrics, defects, environments, and release readiness. Mentors QA teams, establishes automation and CI/CD standards, coordinates stakeholders, and ensures secure, traceable, auditable use of AI-assisted testing and software development tools.

Leads software engineering within an agile financial-services team, designing, developing, testing, troubleshooting, and reviewing secure, scalable production applications. Drives adoption of approved AI-assisted development practices, validates AI outputs for security and quality, automates recurring remediation, improves operational resilience, and evaluates vendor and architectural solutions. Requires advanced software engineering expertise, SDLC proficiency, cloud-native experience, security knowledge, and familiarity with modern front-end technologies.

Build and own backend components for high-volume endpoint data pipelines, from requirements and design through deployment. Develop Java microservices and event-driven distributed systems using Kafka, Kafka Streams, Spring Boot or Micronaut, SQL, and AWS. Apply concurrency, automated testing, observability, CI/CD, and DevOps practices while collaborating with Endpoint and Product teams to deliver scalable cloud-platform features.

Leads agile software engineering efforts within JPMorganChase’s CTO organization. Designs, develops, tests, troubleshoots, and reviews secure, scalable Java and Python applications; improves operational stability through automation and remediation. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, coaches engineers on secure usage, applies SDLC and cloud-native practices, and evaluates vendor and startup technologies for architectural fit.

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.

Leads software engineering delivery within an agile team, designing, developing, testing, debugging, and supporting secure, scalable applications. Establishes effective and responsible AI-assisted engineering practices, including code generation, review, testing, troubleshooting, and validation. Automates recurring remediation, improves operational stability, evaluates vendor and startup technologies, and contributes to AWS web application development, Java engineering, cloud deployments, DevOps, and machine learning or LLM integrations.

Develop and maintain highly scalable Java backend applications and services on AWS. Design, document, and implement new functionality; participate in code and design reviews; maintain automated test coverage; and support continuous integration and deployment. The role involves Java, Spring, Docker, Terraform, AWS services, microservices, REST, relational and NoSQL databases, and collaborative Agile development across a distributed engineering team.

Leads complex, large-scale software engineering initiatives and develops secure Java full-stack applications. Designs, codes, tests, debugs, documents, and reviews technology solutions; establishes engineering, Agile, DevOps, and cloud-native standards; and contributes to modernization through APIs and microservices. Provides architectural guidance, makes technical decisions, conducts code reviews, mentors junior developers, and coordinates developers and QA engineers to deliver production-ready software. Collaborates with technical leaders and stakeholders while supporting banking-domain technology objectives.

Leads the design, development, testing, optimization, and production support of low-latency, high-throughput Java trading applications. Responsibilities include electronic and algorithmic trading, exchange connectivity, real-time messaging, system monitoring, risk and compliance, troubleshooting, architecture enhancement, automated testing, and collaboration with traders, product managers, operations, and engineering teams. The role also mentors engineers and drives technical initiatives across exchange connectivity, algorithmic trading, and time-series systems.

Design, build, and scale Java-based backend services and microservice/event-driven systems using Spring Boot and WebFlux. Implement GraphQL APIs, optimize data models (MySQL/NoSQL), ensure performance and end-to-end testing, integrate AI features (prompt engineering), collaborate cross-functionally, and mentor junior engineers.