Top Senior Java Developer Jobs

Leads development of secure, scalable, cloud-native Java microservices using Spring Boot and Kafka. Designs domain-driven, event-driven architectures; delivers production code, automated testing, CI/CD, observability, resiliency, and operational improvements. Provides technical leadership through code reviews, debugging, vendor evaluations, communities of practice, and cross-functional collaboration. Promotes responsible use of approved AI-assisted engineering tools, including validation for correctness, performance, security, and data sensitivity.

Leads design, development, testing, debugging, and operational stability for secure, scalable Java microservices using Spring and JPA. Reviews production code, automates recurring remediation, improves CI/CD and software delivery, and promotes enterprise-approved AI-assisted engineering practices. Evaluates architectures and vendors, leads technical communities of practice, and coaches teams on responsible, secure AI adoption and software engineering standards within financial services.

Lead technical design, develop and deliver resilient backend services and automation pipelines. Write, review, and debug production-quality Java Spring Boot code, improve operational stability through automation, and drive architecture and delivery decisions within an agile team in a regulated enterprise environment.

Lead technical contributions on architecture and data solutions: design and build secure, high-quality Java/Spring production code, guide teams and vendors, adopt enterprise AI-assisted engineering practices, improve SDLC automation, support system design, testing, model hosting (XGBoost), and low-latency/high-throughput production support.

Lead design, develop, and deliver secure, high-quality software for wholesale credit risk. Author and review production code, drive AI-assisted engineering practices, automate remediation, improve resiliency, and evaluate vendor/architecture suitability.

Lead design, develop, and deploy secure, scalable full-stack applications (Java or Python) for finance planning and analysis. Drive architecture reviews, operational stability, CI/CD automation, cloud-native AWS deployments, and integration of AI/ML/LLM capabilities. Mentor teams and lead engineering communities of practice.

Leads software engineering within JPMorgan Chase’s Risk Technology team, designing, developing, testing, debugging, and operating secure, scalable applications. Reviews production code, automates recurring issue remediation, evaluates vendor and architectural solutions, promotes emerging technologies and AI adoption, and leads software engineering communities of practice. Requires strong Java and AWS experience, cloud-native development, CI/CD, agile methodologies, application resiliency, security, and financial-services technology knowledge.

Leads design, development, testing, troubleshooting, and operational stability for secure full-stack software solutions. Develops Java and Scala statistical algorithms, React-based applications, microservices, REST APIs, and cloud-native services using AWS, Hadoop, Databricks, and Kubernetes. Reviews code, improves automation and resiliency, performs unit and integration testing, and promotes responsible AI-assisted engineering practices, secure coding, and compliant validation across an agile team.

Lead a globally distributed team to design, develop, and deliver resilient backend services and automation pipelines. Produce secure, high-quality Java Spring Boot code, troubleshoot systems, drive CI/CD and operational stability, and collaborate on architecture and product outcomes within a regulated enterprise.

Lead development of secure, scalable Java/Spring Boot applications on AWS; design architectures, produce artifacts, write and review code, enable CI/CD and monitoring, drive AI-assisted engineering practices, and improve operational stability.

Lead software engineering for secure, scalable, production-grade applications in an agile enterprise environment. Design complex solutions and architecture, develop Java microservices and REST APIs, improve reliability through automated testing and CI/CD, analyze system data, and build reusable components. Guide responsible adoption of AI-assisted engineering tools, coach team members on secure validation practices, troubleshoot complex issues, and deliver high-throughput distributed systems across cloud-native platforms.

Leads software engineering for JPMorgan Chase’s Identity and Access Management team. Designs, develops, troubleshoots, and delivers secure, scalable Java and Spring Boot applications using microservices, REST APIs, cloud platforms, and relational databases. Creates architecture artifacts, maintains production code, identifies system and data issues, and improves engineering practices. Drives responsible adoption of AI-assisted development tools, establishes validation standards, coaches engineers on secure AI use, and contributes to engineering communities.

Leads software engineering efforts within an agile team, designing, developing, testing, debugging, and operating secure, scalable applications. Builds full-stack solutions using C#/.NET, Java, React, Angular, APIs, relational and NoSQL databases, CI/CD, and cloud technologies. Guides architecture evaluations, automation, operational stability, software quality, and adoption of approved AI-assisted development tools. Coaches engineers on responsible AI use, secure coding, testing, and validation practices while contributing to technical communities and team culture.

Leads architecture, development, and scaling of data infrastructure, distributed microservices, and full-stack enterprise systems. Builds cloud-based pipelines and applications using Java, Spark, and multiple programming languages; optimizes SQL, NoSQL, and Spark workloads; integrates AI tools and model APIs; and establishes monitoring, CI/CD, coding standards, and operational practices. Mentors engineers and drives cross-functional technical initiatives while improving performance, reliability, scalability, and data quality.

Leads and mentors multiple software engineering teams while overseeing budgets, technical strategy, delivery, and talent development. Designs and develops Java/Python backend services with Spring, React full-stack applications, Databricks data pipelines, and AWS cloud-native solutions. Establishes AI-assisted engineering practices, governance, quality controls, and automation across teams. Serves as a technical owner for architecture, security, resilience, performance, and production support while integrating AI/ML and LLM-powered capabilities.

Lead software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Develop with Java, Python, AWS, databases, containers, and modern APIs; establish engineering standards, design patterns, and operational practices. Partner with product managers and architects, reduce technical debt, improve system performance, mentor engineers, and influence technology strategy across Agile teams.

Lead engineering teams and technology projects that build reliable, cloud-native, full-stack systems. Design and implement distributed microservices, APIs, databases, and shared cloud platforms using Java, Python, AWS, containers, and modern AI tools. Provide technical leadership on architecture, resilience, observability, performance, coding standards, platform roadmaps, and enterprise technology strategy while mentoring engineers and partnering with product and architecture leaders.

Leads development of secure, scalable Java full-stack applications within an agile team. Designs microservices and resilient architectures, writes and reviews production code, resolves operational issues, and promotes automation and AI-assisted engineering practices. Builds front-end and back-end solutions using Java, Python, modern web technologies, databases, cloud-native patterns, and agentic AI frameworks. Coaches engineers on responsible AI usage, security, testing, and delivery standards while evaluating architectural solutions with vendors and internal stakeholders.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.

Leads full-stack software engineering for JPMorganChase’s Commercial and Investment Bank. Designs, develops, tests, debugs, and maintains secure, scalable Java and React applications. Reviews code, improves operational stability, supports cloud-native and distributed systems, and promotes AI-assisted engineering practices with responsible validation. Partners with internal teams and external vendors to evaluate architectures and technology solutions while contributing to agile delivery, resiliency, security, and automation.

Leads complex software optimization initiatives from design through implementation and validation. Builds cloud-native services, data pipelines, dashboards, automation, and AI-enabled forecasting solutions. Analyzes cloud costs, resource utilization, reliability, capacity, and engineering productivity while partnering with Engineering, Finance, Product, Data, Platform, and SRE teams. Ensures scalable and secure integrations, testing, observability, financial data quality, and measurable savings. Provides technical leadership and mentorship to junior engineers without direct people-management responsibilities.

Leads backend software engineering for Morgan Money, developing secure, high-quality Java production code for liquidity trading platforms. Collaborates directly with investment teams, traders, and portfolio managers; guides technical decisions; supports agile delivery and frequent production releases; mentors peers and provides technical direction to teams, contractors, and vendors. The role emphasizes Java, Spring, messaging and streaming technologies, testing, CI/CD, resiliency, security, and software development lifecycle practices, with preferred exposure to trading systems, FIX, blockchain, cloud, and Python.

Lead full-stack software engineering initiatives and developer teams building distributed, cloud-native systems and developer experience platforms. Design architectures, implement high-reliability services, shape technology roadmaps, mentor engineers, and collaborate with product and architecture leaders. Work with Java, Python, front-end frameworks, APIs, databases, Docker, Kubernetes, cloud platforms, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Lead and mentor engineering teams building large-scale, cloud-native full-stack systems for credit card application and provisioning experiences. Design distributed microservices, modern user experiences, APIs, and shared platforms using Java, Go, Angular, AWS, and related technologies. Own architecture, deployment, support, reliability, observability, technical standards, and long-term platform roadmaps while collaborating with product managers, architects, and cross-functional engineering teams.