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

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

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 and implement Android features from design through launch, optimize mobile UX and performance, perform code reviews, evaluate technical tradeoffs, and use AI tools to streamline development while maintaining security and production-quality code.

Leads technical initiatives for Toast’s restaurant scheduling product, designing and delivering scalable full-stack software. Responsibilities include architecture, API and system design, roadmap influence, cross-functional collaboration, engineering quality, performance, and technical leadership. The role also promotes AI-assisted development and improved employee and customer experiences.

Lead the technical vision, architecture, and delivery of Toast’s pricing engine across multiple teams. Design and operate highly available distributed systems, APIs, databases, and event-driven services at scale. Serve as the pricing domain expert, improve correctness and performance, lead incident response and reliability initiatives, mentor engineers, establish operational excellence, and align technical priorities with Product and engineering leadership.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.

Lead backend engineering strategy for Affirm’s search and recommendation platform. Design and launch highly available distributed systems, guide technical architecture and execution, improve team operations and reliability, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on search, recommendations, consumer shopping experiences, monetization, and scalable platform foundations.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include database control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and operational support. The role also leads technical delivery, mentors engineers, establishes quality standards, collaborates cross-functionally, and contributes to team roadmap and on-call operations.

Leads and develops a 5–10-person software engineering team, sets technical strategy, guides architecture and API design, and partners with product, design, data science, and business stakeholders. Owns product delivery, reliability, observability, incident response, security, automation, testing, continuous delivery, and operational health while hiring talent and fostering an inclusive, high-performing team culture.

Build and operate database and storage platform software, including services, APIs, and developer tools for provisioning, migrations, upgrades, and lifecycle management. Solve scaling, performance, reliability, and data correctness challenges across databases, distributed systems, cloud infrastructure, and networking. Partner with engineering teams on schemas and platform adoption, lead technical projects through rollout, participate in on-call response, and use AI-assisted tools in development.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.