Top Software Engineer Jobs

Leads software engineering efforts for JPMorgan Chase’s Consumer & Community Banking organization. Provides technical direction, develops and reviews secure production code, influences application design and technical operations, and serves as a subject matter expert. Drives adoption and governance of AI-assisted engineering practices, automation, testing, code review, troubleshooting, and responsible AI controls across teams. Requires strong software development, system design, cloud-native, operational stability, and technical leadership experience.

Build and own backend product features for Remitly Business, including services, APIs, data models, and durable money-movement workflows. Develop scalable Go systems using Temporal, ensuring idempotency, observability, ledger accuracy, reconciliation, security, and compliance. Partner with Product, Design, Analytics, Compliance, Infrastructure, and Operations to deliver features end to end. Contribute to roadmaps, technical reviews, AI-assisted development, architecture decisions, interviews, and team growth.

Own the architecture and technical direction of Metropolis Recognition Platform, including edge-to-cloud pipelines, identity resolution, real-time decisioning, privacy and consent models, observability, and progressive delivery. Lead cross-functional alignment across engineering, computer vision, data, security, platform teams, and partners. Establish RFCs, SLOs, testing standards, operational practices, and architectural best practices while mentoring engineers and managing high-scale distributed systems.

Own the architecture and technical direction of Metropolis Recognition Platform, spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Design scalable streaming pipelines, rules systems, privacy and consent models, observability, testing, and progressive delivery. Lead RFCs, cross-functional alignment, architectural reviews, mentorship, and production quality across application, computer vision, data, security, platform, and partner teams.

Own the architecture and technical direction of a high-volume recognition platform spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Lead streaming pipeline design, privacy and consent models, observability, reliability, testing, progressive delivery, RFCs, cross-functional alignment, and mentorship. Build systems that combine deterministic rules with probabilistic computer vision signals under physical-world deployment constraints.

Leads full-stack software engineering for wholesale credit risk technology. Designs, develops, tests, debugs, and reviews secure production code; improves application stability through automation and remediation; evaluates architectural solutions with vendors and internal teams; promotes AI-assisted engineering practices, modern technologies, and software engineering best practices across communities of practice.

Architect and scale distributed data systems, real-time and batch pipelines, feature stores, and risk intelligence infrastructure for fraud and machine learning decisioning. Lead technical strategy across streaming, databases, storage, AWS cost optimization, data quality, observability, anomaly detection, and feature lifecycle management. Partner with data scientists, ML engineers, and risk leaders while mentoring engineers and driving architectural standards and large-scale initiatives.

Build and evolve core platform components, including data modeling, integration testing, release tooling, internal developer tools, and reliable services. Architect systems, lead initiatives, mentor engineers, partner across teams, and improve scalability, performance, fault tolerance, observability, and production reliability. The role also involves developing AI-enabled developer tools and independently driving complex projects in a fast-paced startup environment.

Design, build, test, deploy, and operate full-stack web applications and RESTful services using Go and HTMX with server-driven UI patterns. Implement Azure cloud-native solutions, CI/CD pipelines, observability and secure-by-design practices, and collaborate with cross-functional teams in an agile environment.

Leads software engineering for AI/ML data platforms, providing technical direction, developing secure production code, and driving scalable SDLC automation. Establishes governance and validation standards for AI-assisted engineering, coaches teams on responsible AI use, and contributes to system design, application functionality, cloud-native operations, testing, and reliability. Preferred experience includes Go or Python, MLOps platforms, ML frameworks, and multi-cloud or hybrid architectures.

Leads hands-on data engineering and software development for HR and employee experience data products. Designs scalable, modular data pipelines and cloud platforms using automation, testing, governance, security, and data quality practices. Drives modernization, operational excellence, cost management, and ease of data consumption while influencing architecture, product, and business decisions. Mentors engineers, supports SDLC accountability, and partners with cross-functional technology teams on complex, internet-scale data initiatives.

Build and scale WHOOP AI platform systems and member-facing experiences across the frontend and backend. Design scalable web applications, APIs, and intuitive interfaces; contribute to agent orchestration architecture; translate business requirements into reliable solutions; write tested code; and monitor, debug, and improve production performance and stability. Collaborate with product managers, designers, data scientists, and other cross-functional partners in a fast-paced environment.

Lead the design and implementation of scalable, reliable backend systems powering WHOOP’s member experiences. Drive technical planning for complex initiatives, establish engineering standards, deliver platform capabilities, and mentor engineers. Collaborate with product, design, data science, and performance science teams while balancing technical quality, business priorities, observability, and long-term maintainability.

Own the technical direction and architecture of WHOOP’s growth-focused web experiences, including join flow, checkout, and shop. Lead cross-functional projects, design A/B tests, improve performance and accessibility, integrate payment and ecommerce systems, and ensure reliability through monitoring and incident response. Mentor engineers, review technical plans and code, lead postmortems, and contribute to engineering processes and documentation.

Design, develop, and maintain scalable backend services, APIs, integrations, data pipelines, automation, and workflows for internal business systems. Partner with cross-functional stakeholders to translate business needs into technical solutions. Ensure system reliability, performance, security, and scalability while contributing to technical strategy, code reviews, engineering best practices, mentorship, and process improvement.

Build scalable backend services supporting growth experiments, e-commerce, and member engagement. Design and optimize APIs and infrastructure using Java, Kafka, Postgres, and AWS. Own development from requirements through deployment and monitoring, collaborate with Product, Design, Data, and Engineering teams, contribute to architecture decisions, and mentor junior engineers.

Lead technical design and delivery of collections modernization features. Hands-on develop and review Java/Spring Boot microservices, integrate Kafka and Oracle/SQL, mentor engineers, resolve complex problems, and collaborate with stakeholders from planning through implementation in an in-office team.

Architect and deliver distributed backend systems and infrastructure supporting customer service and KYC compliance workflows. Set technical direction, define roadmaps, lead end-to-end project delivery, mentor engineers, and build reliable high-scale services using Go, gRPC, TypeScript, React, cloud infrastructure, and DevOps tooling. Partner across teams and time zones to improve platform capabilities, workflow efficiency, cost, quality, customer satisfaction, and compliance outcomes.

Join Hanover Park as a Software Engineer, focusing on AI-powered automation, full-stack development, and making technical decisions alongside the CTO in a fast-paced startup environment.

Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.

Software Engineers will build AI agents for LiveFlow, focusing on designing integrated agent-driven systems to enhance financial software operations while ensuring data security and compliance.

Develop and improve CommCare platform features using modern practices (CI, automated tests, version control). Collaborate with global teams to build usable software for low-resource settings, mentor junior engineers, drive code quality through reviews, and propose product and process improvements.

As a Software Engineer, you will build innovative products, enhance existing solutions, and collaborate with cross-functional teams in a fast-paced environment.

As a Full Stack Engineer, you will build and improve features, collaborate with teams, and tackle technical challenges in software development.

As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.