Top Software Engineer Jobs

Owner of end-to-end full-stack features with primary focus on elite Angular/TypeScript frontends. Build real-time UI components (WebSockets/SSE), enforce feature-domain driven Angular architecture, harden API integrations and auth (JWT/OpenID Connect/OAuth2), optimize performance and i18n, and develop high-concurrency backend microservices (Python/FastAPI/Django). Use autonomous coding agents to accelerate and maintain code quality.

Design, build, and operate scalable, fault-tolerant microservices and APIs across an e-commerce platform. Own end-to-end delivery, lead technical design, reduce technical debt, troubleshoot production issues, and champion testing, CI/CD, security, and observability while leveraging AI-assisted developer tools.

Design, implement, and operate scalable, secure backend data automation services for a cloud-based SaaS/PaaS platform. Architect APIs and asynchronous pipelines, develop and test production-quality Python services, integrate cross-service features, mentor engineers, support high-availability operation and on-call rotations, and collaborate with support and user teams to document and resolve complex issues.

Build and iterate on AI-enabled, customer-facing product experiences across a Rails backend and React/TypeScript frontend. Design APIs, database-backed workflows, AI integration points, prompts, evaluation and observability; prototype and harden features; collaborate with Product, Design, Data, and Customer Success; mentor engineers on front-end and AI tooling.

Lead software and system integration for radar platforms: system bring-up, configuration validation, deployment readiness, and root-cause debugging across BIOS, storage, Linux, networking, timing, containers, and deployment tooling. Support lab, production, and field integration; build automation, end-to-end UI tests, and documentation; collaborate with cross-functional engineers to isolate and resolve subsystem faults. Onsite in Los Angeles 4–5 days/week.

Founding Staff Software Engineer for the Leverage team to design and build knowledge infrastructure that connects internal data to AI tools. Build secure, extensible integrations, identity/auth passthrough, and a context layer consumed by internal CLIs, SDKs, UIs, and agent tooling. Partner cross-functionally to prioritize integrations, define standards, improve CI/CD, measure AI adoption, and produce maintainable, well-tested systems to scale internal AI tooling adoption.

Design, develop, test, operate and maintain full-stack, production-ready software. Own end-to-end features, follow DevOps and Agile practices, ensure scalability, reliability, security, conduct and apply code reviews, and collaborate across teams to deliver cloud-native microservices and front-end applications.

Develop R&D and production software for next-generation radar products, integrate software with COTS hardware, support deployed capabilities for U.S. and international customers, and work on-site with engineering teams to advance product features and reliability.

Design, build, and operate cloud-native backend services in Python to ingest, process, and serve sensor data on Azure. Architect scalable, low-latency data pipelines, maintain CI/CD and testing infrastructure, integrate with hardware teams, define architecture, mentor engineers, and travel periodically to offices and customer sites.

Design, develop, and optimize scalable full-stack software systems; contribute hands-on code; implement agile processes; collaborate with hardware, AI, and cloud teams to deliver integrated GenAI solutions; stay current with tools and best practices.

Build and maintain partner-facing frontend and backend systems for integrations. Design and implement integrations, handle high-volume data workflows, ensure performance and reliability, write tests, contribute to architecture, and mentor teammates.

Design, build, and maintain ETL/ELT pipelines and integrations (APIs, file systems, RPA). Optimize Postgres and SQL for scale, implement monitoring, lead data projects, mentor engineers, and collaborate cross-functionally to ensure reliable data delivery.

Design, build, and maintain ETL/ELT pipelines and integrations (APIs, files, RPA). Optimize Postgres and SQL for scale, implement monitoring, lead data projects, mentor engineers, and collaborate cross-functionally to ensure reliable data delivery.

Lead design and implementation of a scalable data platform and pipelines (CDC, streaming, batch) to serve analytics, AI, and product features. Own data modeling, query optimization, data quality, schema contracts, observability, and cost governance. Coordinate producers and consumers, and technically lead and mentor a team of data engineers.

Design, develop, test, operate and maintain production-ready Java microservices for ePay. Own full-stack code, ensure reliability, security and compliance, contribute to CI/CD, containerization, API design, and cross-team operational improvements.

Maintain and enhance U.S. Bank's Customer Information System and Hogan platforms. Design, develop, test, and operate mainframe services/APIs, diagnose and resolve incidents, perform code reviews, ensure security/compliance, collaborate with business and cross-functional teams, mentor peers, and participate in Scrum-driven delivery.

Lead and manage the Oobeo/EnforcePlus engineering team while serving as the senior full-stack engineer. Own architecture, roadmap, AWS/GCP infrastructure, integrations (payments, Twilio, LPR), CI/CD, tests, and production stability. Drive AI-paired development adoption and mentor engineers, hire and onboard, and deliver platform modernizations and Django upgrades.

Design, build, test, deploy, and maintain software applications. Mentor engineers, research and implement solutions, support Agile development, deploy AI models (Bedrock), design auto-scaling systems, and create MCP/API custom connectors while collaborating with stakeholders.

Lead design and delivery of scalable, user-focused microservices and UIs. Mentor engineers, drive technical execution in Agile, own DevOps/observability on cloud, participate in on-call rotation, and enforce secure, testable API and platform practices.

Lead end-to-end design, development, and quality of cloud-based enterprise software solutions for caregivers. Define quality criteria, estimate costs, manage risks and engineering processes, integrate systems, and act as technical leader across large, complex projects.

Design, implement, and ship full‑stack features using Next.js and Django. Own features end‑to‑end, optimize background processing with Celery/Redis, and improve scalability. Collaborate on containerized deployments (Docker, Kubernetes) and CI/CD (GitLab). Provide technical leadership via code reviews, documentation, and architectural decisions.

Lead end-to-end design, implementation, and quality of software solutions for caregivers. Estimate, architect, code, and integrate complex systems across cloud environments, manage engineering processes, and ensure measurable user experience and delivery of multiple projects.

Lead design, configuration, and support of Manhattan WMOS WMS, translate warehouse requirements into technical solutions, develop integrations (ERP/TMS), create reports, troubleshoot production, support upgrades and testing (SIT/UAT), mentor junior staff, collaborate with vendors and PMO, and provide 24x7 rotational systems support.

Lead design, development, integration, and support of Microsoft-stack enterprise applications. Spend ~80% on programming and 20% on business analysis, mentor junior engineers, participate in architecture and CI/CD, support production (24/7), and build solutions using Dynamics 365, Power Platform, .NET/C#, Azure, Dataverse, and REST APIs.

Designs and owns integrations between internal systems and Martech/CRM platforms, migrates legacy middleware to secure AWS architectures, builds APIs, implements CI/CD, optimizes data pipelines and SQL, contributes React front-end features, mentors engineers, and provides production support.