Top Software Engineer Jobs

Design, develop, and maintain a full-stack internal web application tracking fish from catch to customer. Build backend services, APIs, data systems, reporting, and integrations with robotics and ERP platforms. Implement DevOps workflows covering deployment, monitoring, logging, and automated testing. Collaborate with robotics, operations, and business teams to create user-friendly tools and support a new processing facility.

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 an agile team to design, build, and operate low-latency, high-availability Python applications for Rates trading desks, owning architecture across data ingestion, calculation services, UI, and operational tooling. Partner with traders, drive technical decisions, improve CI/CD and observability, mentor engineers, and ensure production correctness, performance, and resiliency under tight timelines and high business impact.

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 software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring Boot/React applications. Drives CI/CD, automation, operational stability, vendor evaluations, and engineering communities of practice.

Lead software engineer responsible for designing, developing, and troubleshooting end-to-end solutions across z/OS mainframe and Java platforms. Drive automation, CI/CD, observability, and secure engineering practices. Lead adoption of enterprise-authorized AI-assisted engineering tools, evaluate vendor solutions, mentor teams, and promote engineering excellence within agile delivery.

Lead technical contributor on an agile Investment Banking engineering team. Design, develop, debug, and optimize secure production Java/J2EE/Spring Boot systems; drive adoption and validation of enterprise-approved AI-assisted engineering practices; lead vendor evaluations, automation and remediation efforts, and communities of practice; mentor engineers on responsible AI use and ensure test automation, performance tuning, and operational stability.

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 deliver secure, scalable production software. Develop, review, and debug code; improve operational stability via automation; evaluate vendor architectures; promote AI-assisted engineering practices and responsible AI usage; lead engineering communities of practice and apply cloud-native and infrastructure expertise (Hyper-V, OpenShift).

Lead and contribute to design, develop, and maintain scalable Java/Spring Boot services on AWS. Drive adoption of enterprise-authorized AI-assisted engineering practices, ensure operational stability and monitoring (Prometheus/Grafana), troubleshoot complex issues, participate in architecture and code review, automate remediation, and mentor/lead software engineers.

Lead technical delivery for analytics-focused software: design, develop, test, and operate secure, high-quality production code. Drive automation and CI/CD, evaluate vendor/architecture choices, mentor junior engineers, and promote resilient cloud-native solutions within financial services technology teams.

Lead an agile payments engineering team building secure, scalable Java/Spring microservices. Be hands-on (50% coding), perform design, code reviews, and debug. Drive adoption of enterprise AI-assisted development practices, ensure CI/CD, resiliency, operational stability, mentor engineers, evaluate vendors, and manage stakeholders to meet compliance and business SLAs.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions, build data pipelines (Databricks/Spark), drive CI/CD and automated testing, adopt AI-assisted engineering practices, mentor engineers, and collaborate with product and data teams to improve user experience and operational reliability.

Lead technical contributor designing and delivering high-throughput, low-latency Databricks/Spark data pipelines and Lakehouse architectures. Own cluster strategy, performance tuning, CI/CD and Terraform infrastructure, enforce data quality/governance/security, build reusable Python/Java libraries, and champion enterprise AI-assisted engineering practices.

Lead an agile engineering team to design, develop, and operate secure, scalable applications. Provide technical guidance, write and review production code, drive AI-assisted engineering adoption, influence product design, and promote firmwide SDLC practices using cloud-native, microservices, and Big Data technologies.

Lead development of secure, high-quality production software for analytics and credit risk; design, code (Python/Java), review, troubleshoot, automate remediation, drive CI/CD and cloud-native solutions, mentor junior engineers, evaluate vendors, and promote new technologies.

Lead technical design and development of secure, scalable production software. Write and review code, drive automation and CI/CD, ensure operational resilience, promote enterprise AI-assisted engineering practices, evaluate vendor/architecture choices, lead communities of practice, and coach teams on secure, compliant cloud-native solutions in a financial services environment.

Lead middleware-focused engineering efforts: design, develop, test, and maintain cloud-native production services. Drive adoption of CI/CD, automation, enterprise AI-assisted engineering practices, vendor evaluations, and operational stability for mission-critical financial systems.

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, 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 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 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 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 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.