Top Senior Software Engineer Jobs

Lead software engineering for JPMorgan Chase’s API Marketplace within an agile team. Responsibilities include designing and delivering secure production code, reviewing and debugging applications, guiding technical teams and partners, influencing technology decisions, mentoring developers, contributing to SDLC frameworks, and building cloud-native distributed applications using modern development, testing, and deployment practices.

Build and operate production software for active clinical trials, including clinical-system integrations, trial data flows, site activation, monitoring, and signal detection. Design AI-native agents and pipelines with auditability, provenance tracking, and human review in regulated GxP environments. Own multi-quarter technical initiatives, collaborate with clinical, regulatory, QA, data, and infrastructure teams, mentor engineers, and improve validated software delivery workflows.

Lead development of a Windows Client Connector Agent, designing service-layer, UI, RPC, session, data, and telemetry components. Diagnose production crashes, race conditions, lifetime bugs, synchronization issues, and reliability problems in long-running Windows services. Manage VDI session and tunneling workflows, review code, improve engineering quality, and mentor developers. The role also involves maintaining enterprise endpoint software and applying Windows systems programming expertise to secure connectivity products.

Own the architectural foundation and user experience of LogicGate’s enterprise Risk Cloud platform. Design scalable TypeScript and Angular components, implement comprehensive automated testing, integrate AI capabilities, optimize performance and accessibility, monitor applications with observability tools, and mentor engineers. Collaborate with product, design, QA, and backend teams in an Agile environment while documenting technical standards and specifications.

Design and build backend services, APIs, and full-stack features that power patient booking, clinician routing, logistics, and device integrations. Own projects 0→1, solve scheduling/dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams to ship reliable, secure healthcare software.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Design APIs, data models, and services, solve scheduling/dispatch challenges, integrate external health systems, and own projects from 0->1 while collaborating with product, data, ops, and clinical teams.

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.

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.

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.

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.

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.

Design, implement, and maintain scalable serverless backend services and responsive Next.js front-end components. Build data scrapers and integrations, improve CI/CD and IaC, mentor junior engineers, and collaborate with product and clients to solve complex compliance problems.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

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

Design, develop, enhance, test, integrate, and maintain software applications supporting enterprise and government IT initiatives. Troubleshoot production issues, automate processes, support modernization efforts, gather technical requirements, and customize solutions to client business and IT needs. Collaborate with technical solutions engineers, professional services teams, and client stakeholders.

Lead frontend-leaning full-stack implementation work for carrier and enterprise integrations: architect reusable UI and API layers, author RFCs, guide technical delivery, enforce testing and security best practices, and partner with cross-functional teams to scope and ship production integrations.

As a Software Engineer on the Workflows Team, you'll develop the Workflow Development Kit and platform, emphasizing AI integrations, durability, and observability while collaborating with cross-functional teams and engaging with the open-source community.

Build and maintain the analyst-facing frontend for Kepler's AI research platform: high-performance, data-dense interfaces (spreadsheets, tables, streaming views) that surface cited, auditable values and verification workflows. Ship end-to-end features, optimize browser performance, implement real-time streaming UX, and ensure traceability from UI cells back to original sources.