Top Remote Software Engineer Jobs in Sacramento, CA

Build and operate the Data Plane Platform: design and implement scalable backend services in Go, REST APIs, and distributed systems; contribute full-stack using React and TypeScript for platform management; develop and run production cloud applications on AWS/GCP; ensure reliability through testing, CI/CD, and observability; troubleshoot across code and infrastructure and drive technical ownership.

Join the Consumer Technology team to develop, maintain, and troubleshoot applications and test tools. Perform routine automation, white-box testing, code reviews, monitor automated processes, estimate tasks, communicate with product owners and users, and recommend improvements. Assist in training others and follow departmental methodologies.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Develop and enhance front-end, server-side, and database applications, focusing on blockchain products while ensuring high performance and security.

Design and develop full-stack applications for controlling autonomous construction robots, including backend services and front-end interfaces. Collaborate in rapid deployment cycles.

Build and ship full‑stack web features end-to-end using React/TypeScript and Node.js. Partner with Product, Design, and Data to deliver reliable, well-tested software, set and uphold code quality, make technical decisions, and mentor others (at senior level). Own features from design through production and improve tooling, testing, and observability to increase team velocity.

The Software Engineer will build scalable backend systems, integrate third party software, and optimize performance, aiming to enhance efficiency in the moving industry.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.

Design and build RL post-training infrastructure for AI, optimizing training-inference-rollout on distributed systems while ensuring fault tolerance and scalability.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

Lead architecture and development for scalable document content extraction and transformation systems. Build full-stack, event-driven applications using C#/.NET, AWS, Kafka, OCR technologies, APIs, and AI services. Own initiatives from design through production, improve reliability and performance, implement observability, address technical debt, document architecture, collaborate cross-functionally, and mentor engineers.

Design, develop, and optimize high-performance confidential computing solutions using CUDA. Identify and resolve performance bottlenecks through advanced CUDA programming and profiling tools. Write clean, tested, documented code and collaborate with developer services and infrastructure teams to integrate GPU-accelerated algorithms into existing systems. The role also involves building cryptographic and distributed systems supporting privacy-preserving zero-knowledge products.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.

Architect and build the Solver framework powering NEAR Intents, including solver competition, quote aggregation, execution workflows, and cross-chain infrastructure. Lead technical design, code reviews, architectural decisions, and globally distributed collaboration while ensuring low-latency, high-throughput performance. Shape solver economics and cryptoeconomic incentives, remain hands-on with coding and prototyping, and address complex distributed systems and blockchain challenges.

Build and own Pepper’s regulated audit platform across internal auditor tools, client and partner portals, data models, integrations, security, and reliability. Develop end-to-end features using TypeScript, React, Node.js, PostgreSQL, and Supabase. Design secure multi-tenant data isolation, authentication, audit logging, evidence integrity, integrations, observability, CI/CD, and deployment workflows. Partner with founders, auditors, CPAs, engineers, and external partners in a high-autonomy environment.

As a Senior Software Engineer (Backend), you will design and implement scalable applications, collaborate with agile teams, and mentor junior members while ensuring high code quality and performance.

The Staff Software Engineer will lead technical vision and execution, drive architectural decisions, mentor engineers, and ensure code quality and scalability.

Design and develop scalable backend services and APIs, building frontend applications, collaborating on features, and ensuring system reliability. Lead technical projects and improve engineering practices.

Build and operate full-stack, production-ready systems: design and ship AI-native mortgage automation, integrate third-party lending APIs, and architect scalable AWS infrastructure and job processing. Mentor engineers and ensure security, observability, and high reliability.

The Staff Software Engineer will lead technical projects, develop full-stack software, mentor teams, and drive product direction at Propel, focusing on impactful solutions.

Design, build, and maintain CRM+ features using C#, .NET, Vue, and SQL Server on Azure. Architect scalable services, use AI tools (Claude Code) in development, write well-tested code, mentor engineers, influence product and technical strategy, operate CI/CD, troubleshoot production issues, and collaborate cross-functionally.