Top Senior Java Developer Jobs

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.

Leads design, development, testing, troubleshooting, and production delivery of secure Java and Spring Boot services, REST APIs, event-driven integrations, and React applications. Provides technical leadership through architecture and code reviews, CI/CD, cloud-native operations, observability, and automation. Guides responsible adoption of AI-assisted engineering tools, evaluates vendor technologies, improves system resiliency, and mentors teams on secure, compliant software practices.

Develop and deploy mission-critical software within a SAFe Agile and DevOps environment. Responsibilities include architecting server-side Java business logic, developing user interfaces, applying TDD and automation, integrating databases and application servers, and supporting secure systems engineering. The role requires collaboration, requirements decomposition, testing, continuous integration, and independent task prioritization while working with technologies including Java, Python, C/C++, SQL, Linux, Windows, and enterprise testing tools.

Design and scale resilient, cloud-native payment systems and distributed microservices. Lead technical architecture, technology roadmaps, and cross-team engineering initiatives while mentoring developers. Build full-stack solutions using Java, AWS, Kafka, multiple programming languages, databases, containers, and modern AI coding tools. Drive reliability, performance, observability, security, regulatory support, coding standards, and enterprise technology strategy.

Leads design, development, testing, troubleshooting, and production delivery of scalable Java-based financial technology solutions. Builds resilient microservices using Java, Spring Boot, Kafka, React, AWS, and Kubernetes; manages unit, SIT, and UAT testing; supports clearing and settlement functions; and promotes secure, responsible AI-assisted engineering practices, automation, code quality, and operational stability.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Leads software engineering within an agile Corporate Technology team, designing, developing, troubleshooting, and reviewing secure enterprise applications. Builds Java and Spring Boot solutions using microservices, APIs, databases, cloud-native architecture, messaging, and modern UI frameworks. Drives automation, application resiliency, CI/CD, responsible AI-assisted development, technical evaluations, and engineering communities of practice. Coaches teams on secure AI adoption, validates AI-generated outputs, and promotes scalable engineering standards.

Lead full‑stack development for hedge fund technology: gather requirements, design and implement Java/Python/React applications, support AWS/Terraform infrastructure and RDS databases, drive AI‑assisted engineering practices, mentor engineers, integrate third‑party vendor systems, and ensure secure, scalable, test‑driven delivery.

Leads the design, development, testing, and operation of secure, scalable cloud-native software services. Provides technical direction, writes and reviews production code, develops AWS APIs and event-driven microservices, manages Terraform infrastructure, and improves CI/CD, testing, observability, and reliability. Establishes governance for responsible AI-assisted engineering, validates AI outputs for security and quality, promotes engineering standards, and coaches teams on compliant development practices.

Leads development of a next-generation equipment and asset finance platform. Designs, builds, tests, secures, and troubleshoots scalable Java and Spring Boot applications using microservices, REST, Kafka, React, and relational databases. Provides technical direction to a global feature team, mentors engineers, reviews code, drives AI-assisted engineering practices, and contributes to architecture. Improves application stability, observability, code quality, deployment reliability, and operational support across development, staging, and production environments.

Design, build, and support Amazon Connect contact flows, serverless Java/Python microservices, and React agent workspaces. Integrate LLM-powered agent assistance (Bedrock/RAG), secure REST APIs, and implement monitoring and reliability for enterprise contact center solutions.

Lead backend software engineering for JPMorganChase’s Commercial and Investment Bank. Responsibilities include designing, developing, testing, debugging, and reviewing secure Java applications; improving operational stability and automation; applying AWS and cloud-native practices; promoting AI-assisted engineering with responsible validation; and evaluating architectural solutions with vendors and internal teams.

Leads two scrum teams while remaining hands-on in software development at least 50% of the time. Designs, codes, tests, debugs, and supports secure, resilient, high-throughput distributed payment systems using Java and Spring Boot. Drives AI-assisted engineering practices, automation, CI/CD, code quality, operational stability, and responsible AI usage. Evaluates technical solutions with vendors and internal teams and leads engineering communities of practice.

Leads software engineering for secure, scalable technology products within data technology. Responsibilities include designing and developing Java, Python, or Go applications; building AWS-hosted APIs, microservices, event-driven services, and data models; developing Terraform infrastructure; reviewing code; improving testing and operational stability; and guiding responsible AI-assisted engineering practices, secure coding, architecture, and SDLC adoption.

Leads software engineering initiatives within an agile banking technology team. Designs, develops, reviews, debugs, and troubleshoots secure production code; drives responsible AI-assisted development practices; improves automation and operational stability; evaluates architectures and vendors; and promotes modern engineering technologies. The role requires advanced programming, generative AI and machine learning familiarity, distributed systems, cloud platforms, microservices, APIs, databases, containerization, performance testing, and chaos engineering experience.

Leads design and development of low-latency front-end and backend applications supporting Fixed Income pricing, risk, PnL, and trading workflows. Builds Angular/TypeScript micro UIs and Java/Spring services using Kafka and Ignite; leads testing, debugging, monitoring, production support, risk compliance, and technical initiatives. Mentors engineers, collaborates with stakeholders, and delivers scalable microservices in an Agile environment.

Leads the design, development, testing, troubleshooting, and delivery of secure full-stack software using Java, Spring, React, microservices, databases, and Kafka. Drives adoption of AI-assisted and agentic development practices, establishes validation and responsible-use standards, improves automation and system reliability, reviews code, evaluates architectures, and mentors teams on emerging technologies and software engineering best practices.

Leads software engineering efforts for secure, scalable banking technology. Designs, develops, tests, debugs, and reviews production code while guiding teams in responsible AI-assisted development. Applies Java, cloud, microservices, distributed systems, generative AI, performance testing, and chaos engineering practices. Evaluates technical solutions with vendors and internal teams, automates recurring remediation, improves operational stability, and leads engineering communities of practice.

Leads software engineering initiatives focused on scalable ETL pipelines, data lake and warehouse architecture, cloud services, observability, automation, resiliency, and operational stability. Designs and optimizes Databricks and AWS data solutions, monitors performance and costs, mentors engineers, and drives technical standards. Preferred experience includes investment banking systems, Spring Boot microservices, containerization, Kafka, and financial products.

Lead the design, development, and support of large-scale Java enterprise applications and cloud-native platforms. Architect microservices, REST APIs, event-driven services, and distributed systems; implement CI/CD, DevSecOps, automated testing, security, monitoring, and observability practices. Provide technical leadership and mentorship, support mission-critical production systems, lead incident resolution, and improve reliability and performance across global, regulated-data environments. Preferred experience includes AI/LLM integrations, globally distributed databases, multi-region architectures, and SRE practices.

Leads end-to-end architecture and delivery of enterprise software using Java, Spring Boot, and Python. Defines APIs, integrations, distributed systems, data architectures, and nonfunctional requirements. Provides technical leadership, resolves production issues, establishes engineering standards, and productionizes AI/ML capabilities with monitoring and responsible AI controls. Partners with data science teams and drives secure, resilient, observable solutions through the full software development lifecycle.

Leads software engineering teams and technology projects, designing and implementing large-scale, cloud-native, distributed systems. Responsibilities include full-stack development, microservices, AWS solutions, architecture, platform roadmaps, reliability and observability, technical standards, mentoring, and cross-functional leadership. The role uses Java, Python, and other modern programming languages, databases, containers, CI/CD, infrastructure as code, and AI-based development tools.

Lead backend and full-stack engineering initiatives for customer rewards redemption platforms. Design and implement scalable, cloud-native microservices; guide architectural modernization; mentor engineers; establish technical standards; and partner with product, architecture, fraud, and customer experience teams. The role requires expertise in distributed systems, multiple programming languages, cloud platforms, databases, APIs, CI/CD, observability, and modern software development practices.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Leads design, development, testing, troubleshooting, and production delivery of secure, scalable Java software for financial services. Builds microservices and micro-frontends using Java, Spring Boot, Kafka, React, AWS, and CI/CD practices. Oversees system stability, resiliency, performance, testing, architecture standards, and code quality. Partners with stakeholders, supports strategic planning, and promotes responsible AI-assisted engineering practices, automation, and secure software development across teams.