Top Software Engineer Jobs

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 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 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 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 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 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 technical design and deliver secure, scalable C#/.NET software for trading systems. Drive architecture, coding, code review, automation, resiliency, CI/CD, and adoption of AI-assisted engineering practices while mentoring teams and engaging vendors.

Lead an agile team to design, develop, secure, and operate Salesforce-based solutions. Build and review production code, drive automation and CI/CD, evaluate vendor integrations, lead engineering communities of practice, and improve operational stability and resiliency.

Lead an agile engineering team to design, build, and operate secure, scalable software. Provide technical direction, write and review production code, champion enterprise AI-assisted development practices, drive SDLC improvements, and manage cloud-native deployments and monitoring across AWS and data platforms.

Lead Software Engineer designs, develops, and delivers secure, scalable cloud-native applications (Python/Java/React/AWS). Leads architecture reviews, promotes AI-assisted engineering practices, drives CI/CD and automation, mentors teams, evaluates vendors, and improves operational stability and resiliency.

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 technical design and development of Salesforce solutions, write and review secure production code, drive operational stability and automation, evaluate vendor and architectural choices, champion AI-assisted engineering practices, and mentor engineering communities to adopt secure, resilient, and reusable patterns.

Lead engineering efforts to design, build, and maintain AEM-based web applications; deliver secure, high-quality code; drive AI-assisted development adoption; integrate Adobe marketing tools; ensure resiliency, accessibility, SEO, and performance; automate recurring remediation; evaluate vendors and coach teams on responsible AI and security within financial services.

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, 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 and deliver full‑stack software solutions. Develop, review, debug, and maintain production code; drive automation and operational stability; champion enterprise AI-assisted engineering practices; evaluate vendor/architectural solutions; lead engineering communities of practice and promote secure, resilient SDLC practices.

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 design, develop, and deliver secure, scalable production software. Drive architecture evaluations, improve operational stability via automation, and champion AI-assisted engineering practices. Mentor teams, enforce secure SDLC/CI/CD standards, and integrate cloud-native solutions using Python, Java, React, and AWS.

Lead design and implementation of a large-scale Marketing and Events data platform. Build and transform ETL on cloud/Databricks, ensure data quality, automate pipelines, enforce data standards, and deliver solutions using agile practices while mentoring and hiring team members and partnering with stakeholders.

Lead design, development, and production support of secure, cloud-native data and analytics systems. Drive adoption of AI-assisted engineering practices, improve automation and resiliency, evaluate vendor solutions, and mentor teams on secure, scalable software delivery.

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 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.