Top Senior Java Developer Jobs

The Lead Software Engineer will oversee software development for Boeing's Advanced Ground Architecture, with a focus on Java and guiding teams to meet project goals.

Lead and deliver cloud-native, microservices-based applications using Java and related technologies. Drive adoption of enterprise AI-assisted engineering practices, design scalable secure solutions, write and review production code, automate recurring issues, mentor teams, and promote modern engineering patterns and resiliency across the organization.

Join the US Bank Accounts team to design, build, and scale banking products. Own end-to-end projects, implement high-quality APIs and tooling, improve platform robustness, and collaborate across teams to deliver production services that handle large-scale distributed workloads.

Design, develop, and maintain secure, production-grade full‑stack applications and microservices using React, Java/Node.js/Python and AWS. Integrate SaaS platforms (e.g., Monday.com), implement CI/CD, observability and AI‑assisted workflows, troubleshoot production issues, and ensure alignment with enterprise standards for security, resiliency, and scalability.

Lead architecture and technical strategy for mission-critical, cloud-native payment applications. Mentor engineers, design high-performance Java backends, APIs (REST/gRPC), multi-region resilient systems, promote Kubernetes and cloud platforms, enforce engineering standards, and drive adoption of AI-assisted engineering practices and SDLC automation.

Senior Java full-stack engineer responsible for designing, building, and maintaining scalable microservices and APIs using modern Java and cloud-native technologies. Provide technical leadership, mentor engineers, perform code reviews, support production incidents, create architecture and API artifacts, and leverage AI-assisted development tools while ensuring governance, security, and best practices.

Lead design and development of enterprise Java-based microservices and front-end applications (Angular/React). Collaborate with architects and Agile teams, ensure secure RESTful APIs, perform code reviews, support deployments, and govern solution design and engineering standards across environments.

Lead and architect full-stack cloud services and user experiences for credit card acquisition, mentor engineers, own deployments, and apply emerging AI/LLM technologies to drive product and engineering improvements.

Lead development of an AI-first developer portal and AI-enabled support experiences, design secure external API platforms and integrations, establish engineering standards for AI/automation, remain hands-on with critical coding and architecture, drive cross-functional delivery, and coach/mentor engineering talent.

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 a global agile scrum team to design, build, and operate scalable, secure microservice-based applications. Integrate AI (Claude Code) into development and delivery, drive architecture and technical decisions, mentor engineers, enforce AI-assisted engineering governance, and ensure production quality, stability, and automation across the SDLC.

Lead and contribute to full-stack Java/React development, design secure high-quality production code, drive adoption of AI-assisted engineering, improve automation and operational stability, evaluate vendor architectures, and lead engineering communities of practice while promoting resilient, secure CI/CD practices.

Lead design, develop, and deliver secure, scalable full‑stack applications. Write and review production code, troubleshoot, automate remediation, drive CI/CD and resiliency, evaluate vendors, and promote engineering best practices across teams.

Lead and deliver secure, scalable Java/Spring applications on AWS; design, develop, troubleshoot, and improve operational stability. Drive adoption of AI-assisted engineering, review code, automate remediation, and evaluate vendor/architectural solutions.

Lead full‑stack development and architecture for machine learning–enabled digital assistant products. Design and deliver Java/Spring backend services and React frontends, drive CI/CD and infrastructure automation, implement monitoring and resiliency, lead technical reviews, collaborate with product/design/ML partners, and evaluate third‑party integrations to meet security, scalability, and business objectives.

Lead an agile engineering team to design, develop, and operate secure, scalable Java services on AWS (ECS/EKS) with Postgres. Provide technical direction, adopt AI-assisted development practices, ensure operational stability, build observability dashboards (Splunk/Dynatrace/Grafana), and drive multi-region, zero-downtime deployments while promoting SDLC governance and reuse.

Lead and mentor a software engineering team to design, build, and operate secure, scalable cloud-native applications using Java and Python. Drive architecture reviews, CI/CD automation, observability, AI-assisted engineering practices, and data governance while ensuring operational stability and compliance.

Lead full‑stack development of scalable, secure services and UI using Java, Python, and React. Build AI/agentic capabilities with Smart SDK, design data/search solutions (PostgreSQL, OpenSearch), drive cloud-native engineering on AWS with Terraform, improve SDLC via AI-assisted tooling, mentor engineers, and deliver operational reliability.

Lead design, develop, and deliver secure, scalable production software using Java/Python and cloud (AWS). Drive AI-assisted development adoption, evaluate vendors, automate remediation, mentor teams, and ensure CI/CD, resiliency, and security best practices.

Lead development of distributed, cloud-native trading and portfolio systems using Java, Python, Spring Boot, Microservices and React. Drive secure, resilient CI/CD automation, AI-assisted engineering governance, code quality, and operational stability while mentoring and managing developers and evaluating vendor/architecture fit.

Lead and mentor engineers to design, build, and optimize Databricks/Spark ETL pipelines and AWS-based data lake/warehouse solutions. Drive observability, automation, resiliency, performance tuning, and reusable data engineering patterns across teams.

Lead architecture and engineering for a global commodities trading platform. Design and deliver low-latency, scalable distributed systems, collaborate with traders, quants, and product teams, set engineering standards, and modernize platform capabilities across trade capture, pricing, risk, and downstream processes.

Lead technical design, build, and maintain secure, scalable software; drive adoption of AI-assisted engineering, automation, CI/CD, and cloud-native practices; mentor teams, evaluate vendors and SaaS, and translate business strategy into delivery roadmaps.

Lead and contribute to an agile engineering team building scalable, secure big-data applications. Provide technical guidance, design and produce production-quality code, drive architecture and tooling decisions, champion AI-assisted engineering practices, and collaborate across global teams to ensure operational stability and delivery.

Lead back-end engineer delivering cloud-native microservices, building scalable, secure, high-volume data processing systems. Design domain models, implement tests, optimize performance, operate production services, and support incident management across distributed systems.