Top Senior Java Developer Jobs

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 design, develop, and troubleshoot secure, high-quality Java/Python applications and microservices on AWS. Drive adoption of enterprise AI-assisted engineering practices, automate recurring fixes, improve operational stability, evaluate vendor/architecture fit, and lead cross-team communities of practice while promoting inclusive team culture.

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 and deliver secure, scalable Java/Spring enterprise applications; drive adoption of enterprise AI-assisted engineering practices; design, develop, review, and stabilize production code; evaluate vendors and lead engineering communities of practice.

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 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 design and deliver production-grade trading systems using Python and Java, build AI-native platforms, champion AI-assisted engineering practices, partner with Credit Sales & Trading, support production stability, and drive adoption of secure, automated SDLC and cloud-native solutions.

Lead design, develop, and troubleshoot secure, scalable software solutions; produce architecture artifacts; analyze large datasets for improvements; champion AI-assisted engineering practices; ensure CI/CD, resiliency, and security; coach and promote engineering best practices.

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 backend engineer responsible for designing, developing, and delivering secure, scalable Java/Spring Boot services on cloud infrastructure. Drive event-driven, multi-region architectures, operational stability and automation, lead architectural evaluations, mentor engineering communities, and incorporate AI/LLM tools.

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 a cross-functional agile team to design, build, test, and operate scalable, secure full‑stack applications. Implement microservices (Java/Spring Boot or Python), cloud-native architectures, RESTful APIs, and high-volume data processing with SQL/NoSQL. Drive code quality, automation/CI-CD, vendor evaluations, and engineering communities of practice while improving operational stability and observability.

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 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 architecture and engineering for low-latency, scalable commodities trading platforms. Design distributed systems, collaborate with traders/quant teams, drive standards, modernize stack, and deliver end-to-end trade lifecycle solutions across front, middle office, risk, and reporting.

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 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 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 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.

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.