Top Senior Java Developer Jobs

Leads design, development, testing, deployment, and production support for secure Java microservices and REST or event-driven APIs. Owns DevOps execution, CI/CD pipelines, automated quality gates, resilience, observability, and comprehensive testing. Promotes responsible AI-assisted engineering practices, evaluates technology vendors, and guides teams on scalable AWS or private-cloud solutions using Cassandra and Kafka.

Lead modernization of a web product using React, Java, and Spring Boot. Responsibilities include designing scalable micro-frontends, accessible high-performance interfaces, backend APIs, distributed integrations, CI/CD, cloud operations, observability, automated testing, and production conversational or agentic AI features. The role also guides responsible AI-assisted engineering practices, establishes technical standards, troubleshoots production issues, and leads adoption of secure, reliable development patterns.

Design, build, and operate secure cloud platform services and large-scale software. Develop Java and Spring Boot microservices, implement REST and event-driven architectures, and apply automated testing, CI/CD, DevOps, and infrastructure-as-code practices. Collaborate with global engineering and business teams, conduct code reviews, mentor colleagues, troubleshoot performance issues, resolve operations tickets, and deliver scalable solutions using Agile methodologies.

Lead development of full-stack cloud-native applications using Java, TypeScript, Spring Boot, Spring Cloud, and AWS. Responsibilities include designing microservices, APIs, agentic workflows, reactive systems, infrastructure as code, CI/CD, observability, databases, and performance testing. The role also leads responsible adoption of AI-assisted engineering tools, coaches teams on secure validation practices, and troubleshoots multi-agent environments.

Leads full-stack software engineering for secure, scalable enterprise applications. Designs, develops, reviews, debugs, and troubleshoots Java-based solutions using microservices, cloud-native architecture, databases, messaging, and modern UI frameworks. Drives automation, application resiliency, AI-assisted engineering practices, secure coding, testing standards, architectural evaluations, and adoption of emerging technologies. Coaches teams, leads communities of practice, and collaborates across internal teams and external vendors.

Leads development of secure, scalable Java full-stack software for a digital identity team. Designs, codes, tests, troubleshoots, and reviews production applications; improves resiliency and automation; promotes responsible AI-assisted engineering practices; and evaluates vendor and architectural solutions. Requires cloud-native experience with AWS and Kubernetes, REST API development, agile delivery, security, and CI/CD. Familiarity with IAM technologies and ForgeRock or Ping Identity is preferred.

Leads software engineering for JPMorgan Chase’s Asset and Wealth Management technology team. Responsibilities include designing, developing, testing, debugging, and reviewing secure production code; improving application stability and automation; adopting AI-assisted engineering practices; applying SDLC tools and agile methodologies; and evaluating vendor and architectural solutions. The role requires advanced programming expertise, cloud-native experience, financial services knowledge, and leadership in responsible AI use within engineering workflows.

Lead development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

Leads multiple software engineering teams, technical strategy, and large-scale cloud-native initiatives. Oversees distributed microservices and full-stack systems using Java, Go, AWS, Kubernetes, databases, and modern development practices. Partners with product and architecture leaders on technology roadmaps, investment priorities, regulatory solutions, and enterprise alignment. Develops engineering leaders, builds succession plans, drives engineering OKRs, and ensures reliable delivery of cross-functional programs while occasionally coding or evaluating code.

Lead development of scalable Java and Spring Boot microservices, REST APIs, Kafka-based event-driven systems, and cloud deployments on AWS. The role includes database optimization, CI/CD, infrastructure as code, automated testing, observability, production support, secure coding, technical design, code reviews, and mentoring. The engineer will also lead adoption and validation of AI-assisted development practices across the team.

Develop and scale backend Java and Kotlin software powering patch discovery, packaging, and deployment across millions of endpoints. Design scalable systems, APIs, data structures, caching solutions, and relational databases while maintaining high testing and code-quality standards. Collaborate with AI workflow, server, platform, design, and product teams. Occasional React or Angular work may support patching workflows and dashboards.

Leads full-stack software engineering for secure, scalable corporate technology systems. Designs distributed, event-driven microservices using Java, Spring Boot, Kafka, MongoDB, and CQRS/Saga patterns; builds React and TypeScript applications; reviews code; improves operational stability; and guides architecture, testing, security, and AI-assisted engineering practices. Collaborates with vendors and internal teams while leading technical communities and promoting agile delivery.

Develop and support scalable full-stack software using Java, Spring Boot, React or Angular, Python, APIs, microservices, and cloud technologies. Lead architecture, AI-enabled capabilities, testing, troubleshooting, observability, automation, and performance improvements. Mentor engineers, conduct code reviews, influence technical direction, and independently deliver complex solutions across the software lifecycle.

Develop and support complex full-stack software solutions using Java, Spring Boot, React or Angular, and Python. Design scalable APIs, microservices, distributed systems, and cloud-based architectures while integrating AI and machine learning capabilities. Lead technical implementations, testing, troubleshooting, performance improvements, and operational readiness. Mentor engineers, conduct code reviews, influence architecture and engineering standards, and independently deliver complex features with minimal oversight.

Lead an agile team to design, develop, and operate low-latency, high-throughput distributed backend services and APIs using Java, Spring Boot, AWS and Kafka. Drive secure, scalable production code, adopt enterprise AI-assisted engineering practices, improve operational stability through automation, and evaluate vendor and architectural solutions.

Develops and maintains complex Java full-stack enterprise applications by translating business requirements into designs and code. Builds robust, tested, observable software; guides architecture alignment; automates development and operations processes; mentors engineers; documents technical knowledge; and evaluates modern tools and technologies.

The Senior Java Software Engineer will develop and maintain complex software systems, collaborate with engineers, and support command and control of space vehicles, focusing on Java development within an Agile environment.

Leads software engineering within an agile team, providing technical guidance, developing and reviewing secure production code, and driving architecture and operational decisions. Promotes enterprise-approved AI-assisted development practices, governance, secure coding, automated testing, and SDLC automation. Serves as a technical subject matter expert and advocates for engineering frameworks and standards. Requires hands-on experience with Java, microservices, Kafka, AWS, PostgreSQL, cloud-native development, system design, testing, and operational stability.

Leads software engineering for secure, scalable payment technology. Designs, develops, tests, troubleshoots, and reviews Java and Spring Boot applications; improves operational stability and automation; applies cloud-native AWS services and SDLC practices; promotes responsible AI-assisted engineering; coaches teams on secure AI adoption; and evaluates vendor and architectural solutions.

Leads software engineering for equity derivatives risk management, designing, developing, troubleshooting, and reviewing secure Java applications. Builds resilient microservices, analyzes JVM and system performance, supports databases, messaging, cloud platforms, and full software development lifecycle tools. Drives automation, operational stability, and responsible adoption of AI-assisted engineering practices, including validation for security, correctness, and performance. Leads architectural evaluations with vendors and internal teams.

Leads architecture, development, and operations for secure, scalable cloud-native platforms. Designs backend services, GraphQL and REST APIs, React micro-frontends, content pipelines, search capabilities, and event-driven integrations using Java, Python, Go, and AWS. Establishes engineering standards for security, resilience, observability, CI/CD, and cost efficiency; mentors engineers, drives cross-team initiatives, evaluates technologies, and promotes responsible AI-assisted development practices.

Designs and delivers secure, resilient Java and Spring Boot microservices for high-volume payment processing. Responsibilities include building REST APIs and event-driven Kafka or MQ workflows, implementing automated testing and CI/CD, producing architecture artifacts, operating Kubernetes services, troubleshooting production issues, analyzing telemetry, and guiding responsible use of AI-assisted development tools.

Leads technical design and hands-on development of secure, scalable AWS cloud services, APIs, microservices, and event-driven applications. Provides engineering guidance, performs code reviews, improves CI/CD, testing, infrastructure as code, observability, and operational reliability. Establishes governance for AI-assisted software development, validates AI workflows for security and quality, and coaches engineers on responsible usage. Requires strong Java, Python, or Go skills, AWS expertise, Terraform, databases, SQL, and production service delivery experience.

Leads software engineering for secure, scalable enterprise applications within an agile infrastructure platform team. Provides technical direction, develops and reviews production code, modernizes architectures, and establishes engineering governance across SDLC practices. Drives responsible AI-assisted development, automated testing, observability, secure coding, and operational stability. Serves as a technical subject matter expert, mentors engineers, promotes reusable frameworks, and influences product design, application functionality, and technical operations.

Leads full-stack software engineering for JPMorganChase’s Wholesale Credit Risk technology team. Designs, develops, tests, troubleshoots, and reviews secure production code; improves application resilience and operational stability; promotes responsible AI-assisted engineering practices; automates recurring remediation; and evaluates architectures and technologies with vendors and internal teams. The role requires cloud-native development, agile SDLC expertise, financial services knowledge, data architecture, modern front-end technologies, GraphQL, and API development.