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

Design, build, and maintain blockchain and payments infrastructure; develop scalable microservices and secure RESTful APIs to transfer value across blockchain and banking protocols; integrate with banks and fintech; own system design, testing, deployment, and troubleshooting; ensure reliability, code quality, and strong test coverage while collaborating with 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.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Develop and maintain scalable Java and Kotlin backend services for NinjaOne’s SaaS backup and recovery platform. Design high-availability features supporting backup, archive, restore, and download workflows at large scale. Collaborate with globally distributed engineering teams, own architecture and design decisions, mentor engineers, optimize databases and distributed systems, and deliver reliable production software using technologies including AWS, PostgreSQL, Redis, Kafka, and REST frameworks.

Drives performance engineering and scalability across software systems by identifying bottlenecks, optimizing code, queries, databases, and architecture, and implementing fixes. Builds performance frameworks, data-generation tools, benchmarks, and CI/CD automation using k6, JavaScript, Grafana, and InfluxDB. Establishes performance standards, investigates distributed systems and cloud environments, documents architectural decisions, and collaborates with engineering teams to improve throughput, latency, reliability, and efficiency.

Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Build and improve developer experience across large monorepos by leading framework and language migrations, dependency updates, build and CI improvements, automated refactoring, and agentic engineering workflows. The role identifies developer friction, creates safe automation and guardrails, partners with product engineering teams, measures impact, sets technical direction, and mentors engineers on tooling and codebase health.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.