Top Software Engineer Jobs

Lead design, build, and operate scalable data platform components and pipelines (batch and real-time) using Spark, Flink, Kafka, Airflow and Databricks. Implement data modeling, governance, cataloging, observability, and production-grade code; partner with stakeholders and lead technical evaluations and communities of practice.

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 engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, review code, drive architectural and product decisions, advocate firmwide tools and best practices, and apply cloud-native and machine-learning expertise to deliver resilient applications.

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 design and implementation of a software-defined networking platform (JPMC-VPC). Architect control and data planes (OVN, OVS/DPU), write production code (Go/Python/C/C++), collaborate with vendors, drive cross-team adoption of SDN solutions, and represent the firm in open-source communities while ensuring scalable, secure, cloud-native network infrastructure.

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 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 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.

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 a UI team to design, prototype, and deliver scalable, reusable React/TypeScript user interfaces and micro-frontend solutions. Build component libraries, ensure accessibility and performance, collaborate with UX, backend, and DevOps, and mentor junior developers.

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 design and delivery of secure, scalable Java/Spring Boot microservices for Prime Finance and Equities Broker Dealer platforms. Build and maintain trade lifecycle, securities lending, and clearing/settlement systems; drive architecture, cloud-native modernization, CI/CD, operational stability, observability, and adoption/governance of AI-assisted engineering practices while mentoring engineers and partnering with product and operations.

Lead an agile team to design, build, optimize, and operate scalable back-end and web UI systems using Java/Spring and React. Drive adoption of AI-assisted engineering practices, ensure secure and resilient solutions, collaborate with architects, product specialists, and global teams, and present demos to stakeholders.

Lead strategy and development for multiple products and platforms. Design, build, and operate large-scale, cloud-native full‑stack distributed systems. Create reusable frameworks, drive technical best practices and adoption, mentor engineering teams, influence senior stakeholders, and apply Agentic AI/LLM/Generative AI to deliver secure, stable, high-performance banking technology.

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 design and deliver scalable, resilient Java/Spring Boot microservices and React front-ends on AWS. Drive architecture, mentor engineers, run technical evaluations, improve operational stability through automation, and ensure secure, high-quality production delivery aligned with business goals.

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 architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns on AWS. Drive performance tuning, governance (Unity/Glue Catalog), CI/CD, automation, reusable libraries (Python/Java), and adoption of enterprise AI-assisted engineering practices while mentoring teams and ensuring secure, scalable production operations.

Lead and contribute to iOS app architecture and development, produce secure high-quality production code, mentor engineers, drive AI-assisted engineering adoption, evaluate vendor/architecture options, partner with product/design/backend teams to deliver performant, accessible, and resilient native iOS experiences.

Lead an agile engineering team to design, build, and maintain secure, scalable Java Spring Boot microservices. Deliver production-quality code, drive architecture and vendor evaluations, mentor developers, improve operational stability, and promote best practices for testing, CI/CD, security, and cloud-native deployments in the financial services domain.

Lead technical design and development of secure, scalable Java-based distributed systems; write and review production code; drive automation, observability, and resiliency; lead vendor evaluations and engineering communities; promote and validate enterprise AI-assisted development practices and responsible AI use across the team.

Lead architecture, design, and delivery of scalable Markets Data Lake and data/AI platform components. Build Python-based microservices and real-time Kafka services, integrate with JPMC Athena and data platforms, mentor teams, set engineering standards, and drive cloud big-data solutions on AWS.

Lead full‑stack development of cloud‑native, enterprise-grade applications using Java/Spring and React. Design, build, test, and operate microservices with Oracle and AWS, ensure security and operational stability, mentor teams, promote best practices, and drive technical decisions across the SDLC.

Lead full-stack development of an API-driven Agile Enablement platform using Java/Spring Boot and React. Drive technical direction, mentor engineers, build CI/CD and cloud (AWS) solutions, apply AI/LLM-assisted engineering practices, and improve operational stability and automation.

Lead development of secure, scalable Java/Spring backend systems; design, implement, debug, and review code; drive adoption of AI-assisted engineering, CI/CD, event-driven architecture (Kafka), and operational resilience; lead technical evaluations and communities of practice.