Top Senior Java Developer Jobs

Lead an agile engineering team to design, build, and deliver secure, scalable backend systems. Provide technical guidance, develop and review production code, design low-latency Kafka data pipelines, architect microservices and APIs, provision AWS infrastructure using Terraform, and advocate firmwide engineering best practices.

Lead full‑stack engineer delivering secure, scalable Java/Spring Boot services and frontends (Angular/React). Drive design, coding, debugging, CI/CD, resiliency, Kafka and NoSQL data solutions, evangelize AI-assisted engineering practices, and lead technical evaluations and communities of practice.

Lead design, build, and maintain low-latency options algorithmic trading systems. Develop secure, high-quality production code, optimize performance, integrate market data and FIX protocols, apply AI-assisted engineering practices, mentor engineers, and collaborate with product to translate strategies into scalable algorithms while ensuring operational stability and observability.

Design and deliver scalable, resilient Java-based microservices and REST APIs; build event-driven data pipelines with Kafka; model and tune SQL/NoSQL stores; implement CI/CD and infrastructure-as-code; monitor and improve production reliability; conduct code reviews and collaborate with stakeholders to produce production-ready solutions.

Lead hands-on development and mentor engineers to build secure, reliable data pipelines, APIs, and reporting for asset management. Own end-to-end delivery, participate in Agile ceremonies, drive automation, AI-assisted engineering practices, and improve operational stability.

Lead engineering of secure, scalable blockchain and cloud-native services. Design, develop, review, and troubleshoot production code; improve operational stability and automation; guide architecture evaluations and vendor integrations. Drive adoption and governance of AI-assisted engineering practices and coach teams on secure, compliant usage.

Lead architecture, design, and development of Java/Spring back-end services and shared frameworks. Mentor agile teams, produce secure high-quality code, optimize performance, implement observability, and drive adoption and governance of AI-assisted engineering practices and SDLC automation.

Lead backend engineer responsible for designing, developing, and operating secure, scalable Java/Spring Boot services using Kafka and NoSQL stores; drive architecture reviews, operational stability, AI-assisted engineering adoption, and cross-team technical leadership.

Lead an agile engineering team to design, develop, and operate secure, scalable production software. Drive adoption of enterprise AI-assisted development, CI/CD, automation, and resiliency best practices. Evaluate vendors, coach engineers on responsible AI use, improve operational stability, and contribute technical leadership across software engineering communities.

Lead hands-on design, development, and support of real-time Fixed Income trading systems. Drive modernization, build trading tools, integrate messaging hubs, analyze legacy systems, deliver proofs-of-concept, define KPIs, and collaborate with trading, risk, and P&L stakeholders to ensure scalable, stable solutions.

Lead backend engineering for cloud-native, multi-cloud fintech products. Design scalable, reliable, and secure systems using domain modeling. Build testable, operable code, resolve production incidents, optimize performance and data access, and enable zero-downtime releases. Mentor teammates, drive technical direction, and continuously modernize technologies and patterns.

Lead and deliver secure, high-quality Java/Spring Boot solutions across the SDLC. Drive AI-assisted engineering adoption, improve automation and operational stability, evaluate vendor architectures, coach teams on secure/responsible AI use, and support cloud-native, observability, and event-driven designs within financial services.

Lead and architect production-grade trading systems for Credit Pre-Trade Technology, build AI-native platforms, develop and maintain secure scalable code, partner with trading and product teams, drive AI-assisted engineering practices, support production stability and automation, and lead technical evaluations and communities of practice.

Lead developer responsible for designing, building, and modernizing cloud-native Java/Spring Boot applications on AWS. Drive test-driven development, CI/CD, automated testing, code reviews, production troubleshooting, performance tuning, and mentor junior engineers. Promote enterprise-authorized AI-assisted engineering practices and collaborate with global teams through the full SDLC and release processes.

Lead an agile engineering team to design, build, test, and operate secure, scalable Java-based systems. Provide technical guidance, drive architecture and tooling decisions, adopt AI-assisted development practices, ensure CI/CD and resiliency, and manage containerized deployments (Kubernetes). Advocate firmwide SDLC standards and mentor engineers.

Lead backend engineer responsible for designing, building, and operating scalable, secure microservices for equities broker-dealer and prime finance platforms. Integrate AI/ML and GenAI (LLMs, RAG, embeddings, vector DBs) into production, drive architecture decisions, ensure SDLC and operational stability, mentor teams on responsible AI use, and collaborate with product and operations to deliver high-volume, low-latency financial systems.

Lead technical design and delivery of secure, scalable Java-based microservices on AWS. Guide and coach engineers, drive adoption of AI-assisted development practices, ensure code quality, and influence architecture and operational standards.

Lead technical design, development, and operational stability of asset and wealth management systems. Drive adoption and validation standards for enterprise-authorized AI-assisted engineering, set reference architectures across Java, React, Kafka, Oracle/Aurora, Airflow, and Spark, guide cloud deployments, automate remediation, and evaluate vendors and integration approaches.

Lead an agile team to design, develop, and maintain high-performance, secure electronic trading systems. Build Java production code, optimize low-touch algorithmic execution, integrate market data, mentor engineers, and promote firmwide engineering best practices.

Lead technical design and implementation of secure, scalable software solutions. Develop, review, and debug production code; drive automation, CI/CD, and operational resilience. Champion AI-assisted engineering best practices, mentor engineers, evaluate vendor architectures, and promote reuse and secure validation standards across teams.

Lead the design and implementation of application solutions, guide technical decisions, mentor team members, and ensure timely delivery of quality software. Oversee data integration and enforce SDLC standards.

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.

Lead engineering and deliver secure, scalable data and LLM-based systems for a Global KYC and Risk Assessment Data Platform. Define architecture, engineering standards, AI/LLM governance, and drive adoption of AI-assisted development practices while mentoring teams and ensuring operational stability and observability.

Lead and contribute to design, develop, test, and maintain secure, scalable Java-based enterprise applications. Drive architecture reviews, apply AI-assisted engineering practices, automate remediation, mentor teams, and promote reuse and operational stability across the SDLC.

Lead Software Engineer responsible for designing, developing, and delivering secure, high-quality Java backend systems. Duties include coding, code review, test automation, ensuring operational stability for high-throughput low-latency applications, driving AI-assisted engineering practices, evaluating vendors, and using AWS and Terraform alongside messaging systems like Kafka.