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

Leads the engineering team building Circle’s customer onboarding and lifecycle management platform. Responsibilities include developing scalable onboarding automation, customer lifecycle capabilities, partner-facing APIs and SDKs, compliance tools, and product-specific verification workflows. The role owns architecture, reliability, security, operational excellence, cross-functional delivery, hiring, coaching, and development of senior and staff engineers across risk, compliance, fraud, product, and engineering teams.

Own the architecture, scalability, reliability, and delivery of complex software systems. Lead cross-functional technical initiatives, design AI-friendly APIs and agentic workflows, improve performance and cost efficiency, partner with product managers, mentor engineers, influence hiring, and drive engineering quality and technical direction with substantial autonomy.

Lead the Discovery Platform team, overseeing the development of scalable, high-performance systems for retrieval and ranking to enhance the user experience in Whatnot's live social marketplace.

Lead a compliance and risk engineering pillar to design, deliver, and operate regulatory automation, AI/ML, and risk-control platforms. Own roadmap, reliability, incident and defect management, stakeholder communication with Legal/Cyber/Compliance, and hiring and growth of software and quality engineering teams across global jurisdictions.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Leads BECU’s API platform strategy, engineering and delivery teams, technology roadmaps, governance, budgeting, vendor partnerships, and agile execution. Oversees scalable, secure APIs using C#/.NET on Azure, GraphQL, and REST; advances API lifecycle standards, CI/CD, quality, security, observability, and cloud-native practices. Builds high-performing teams through coaching, supports modernization initiatives, aligns technology with business goals, and promotes responsible AI-enabled engineering tools.

Build and maintain engineering-led business systems supporting CRM, revenue operations, sales, and growth. Develop integrations, internal tooling, automations, and AI-powered production workflows across the modern go-to-market stack. Write and deploy code through Git and CI/CD, collaborate with non-engineering stakeholders, evaluate no-code and low-code solutions, and establish maintainable release practices for a growing Business Systems team.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Leads marketing technology architecture, integrations, platform governance, and technical enablement. Designs cloud-native, API-driven solutions across Adobe, Salesforce, CDP, CRM, analytics, and AI platforms; oversees data models, identity resolution, observability, security, and operational health. Manages roadmap prioritization, budgets, vendors, implementations, and a technical team. Establishes AI governance and enables responsible use of generative, predictive, and agentic capabilities across marketing and customer engagement workflows.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.