Top Remote Senior Level Software Engineer Jobs in Los Angeles, CA

Designs and evolves AWS infrastructure as code using CDK, develops backend software primarily in TypeScript, and applies secure engineering practices for regulated environments. The role contributes to architecture, code reviews, CI/CD pipelines, production support, observability, and on-call operations. It collaborates cross-functionally, builds scalable and reusable systems, supports SOC 2 compliance, and uses AI coding assistants to improve development, testing, and documentation.

Build and scale full-stack software for employer and Employee Assistance Program products, including employer portals, patient and provider workflows, eligibility, authorization, and billing. Lead technical projects, design secure distributed systems, mentor engineers, contribute to engineering culture, and use modern technologies and AI-assisted development tools. Collaborate cross-functionally to expand access to mental healthcare.

Lead enterprise automation and agentic AI initiatives, owning the automation and integration stack and Center of Excellence. Build secure, reusable workflows and integration frameworks using platforms such as Zapier, Claude, and Glean. Establish governance, standards, documentation, and prioritization practices while partnering with IT, innovation teams, engineers, business stakeholders, and executives. Identify operational inefficiencies, develop automation roadmaps, and deliver scalable systems with secure data handling, access controls, human oversight, and measurable business impact.

Build and ship web-based transportation management software for trucking customers. Collaborate with product, UX, and engineering teammates to understand user workflows, solve domain problems, deliver features rapidly, and maintain an effective balance between quality and velocity. The role requires proactive ownership, strong communication, frequent collaboration, and willingness to learn the trucking industry and engage with customers.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Design and scale foundational APIs and backend services for LogicGate’s multi-tenant GRC platform. Build distributed systems using Java/Kotlin, Spring Boot, AWS, databases, caching, and messaging technologies. Improve reliability, observability, performance, testing, and CI/CD practices. Lead technical design reviews, collaborate cross-functionally, mentor engineers, and use AI coding tools to improve development efficiency.

Develop and maintain scalable SaaS solutions for financial reporting and capital markets customers. Responsibilities include full-stack development, system design, testing, monitoring, performance optimization, security, technical debt reduction, and collaboration with product managers, developers, and SRE teams. The role requires building reliable, secure, maintainable data-driven applications and contributing across the software development lifecycle.

Leads approximately 35 engineers across data engineering, integration engineering, and integration support. Owns delivery predictability, manager development, operational reliability, SLA performance, data platform modernization, integration scalability, and organizational clarity. Partners with product, data science, commercial, and delivery teams while overseeing healthcare integrations with EHR systems, enterprise data infrastructure, incident management, and client-facing reliability commitments.