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.

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.

Design, implement, and operate critical, highly scalable backend services (identity, friend graph, persistence). Collaborate across teams, ensure availability, scalability, operational excellence, and cost management. Build, test, debug, and participate in incident resolution while leveraging AI tools to accelerate development and maintain secure, production-ready code.

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.

As a Mulesoft Integration Architect - Director at PwC, you will lead complex projects, providing technical leadership, mentoring future leaders, and driving business development efforts for integration solutions.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Lead architecture and implementation of a scalable data lakehouse and streaming platform. Define technical strategy, build resilient systems, optimize performance, mentor engineers, and partner across teams to enable analytics and ML use cases using modern data platform technologies.

Architect and build a high-performance, low-latency trading web platform. Integrate real-time market data and execution workflows, collaborate cross-functionally on large initiatives, and deliver scalable, performant, user-focused frontend applications with strong attention to API design, tooling, and developer experience.

Design and build a high-performance, AI-native web trading experience for sophisticated retail traders. Ship core trading workflows (order entry, positions, blotter, watchlists, alerts), implement trustworthy AI UI patterns, collaborate with backend engineers on low-latency contracts, and iterate quickly with users and stakeholders to deliver end-to-end product features.

Build a high-performance, low-latency Rust backend and core AI platform for an AI-native trading experience. Implement streaming responses, tool orchestration, caching, secure APIs (auth, rate limits, auditing, tracing), and safe trading action infrastructure (previews, confirmations, idempotency, audit logs). Partner with product and frontend to enable AI-native UX and translate business domain requirements into secure, resilient platform primitives.

The Senior Software Engineer will lead the development of payment systems, oversee key subsystems, mentor engineers, and ensure high-quality code and architectural standards while collaborating with cross-functional teams.

This role involves leading web platform initiatives, mentoring senior engineers, architecting web applications, and implementing technical strategies for improved performance.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.