Top Remote Software Engineer Jobs in Sacramento, CA

The Senior Software Engineer II will design and implement complex backend systems for a data streaming platform, lead technical projects, and mentor engineers in a cloud-native environment.

The Senior Software Engineer will develop backend systems, mentor engineers, and collaborate with cross-functional teams while contributing to product features and roadmaps.

Design, develop and maintain cloud platform services, focusing on distributed systems and cloud-native infrastructure. Collaborate across teams, implement observability solutions, and mentor junior engineers while enhancing organizational performance through engineering management principles.

Develop software for CNC machining automation, create algorithms for 3D engineering design, and implement CAD feature detection algorithms, requiring extensive experience in CAD/CAM and 3D modeling.

The role involves designing, developing, and maintaining iOS applications, driving technical architecture, and promoting knowledge sharing within the team.

As a Senior Software Engineer at Upwave, you will build scalable backend systems, develop APIs, and engineer data pipelines while collaborating with product and data science teams.

Lead the technical direction of an engineering team, making major technical decisions, mentoring engineers, and improving technical quality through reviews and effective communication.

The Senior Software Engineer will enhance development workflows, mentor team members, collaborate on code reviews, and analyze data trends in Firefox development.

As a Staff Software Engineer AI-Native, you will build and evolve AI-native engineering workflows, design high-quality APIs, and collaborate with international teams to deliver reliable services while mentoring others.

Develop and maintain advanced security software solutions, architect AI-enhanced microservices, and lead project teams for threat protection at GoDaddy.

The Senior Software Engineer will design, develop, and maintain backend services for an IAM platform, collaborating with cross-functional teams to ensure robust and scalable solutions.

Design and deliver end-to-end software solutions (APIs, microservices, scalable data models), optimize performance, lead architecture and code reviews, mentor engineers, build CI/CD and observability, document systems, create fault-tolerant distributed systems, and lead front-end and mobile performance work. Must demonstrate broad experience across multiple listed technologies.

Join the Platform SysEng squad to design, build, and operate highly available, low-latency cloud-native infrastructure. Improve platform scalability, performance, and reliability; own SLOs/SLIs, capacity planning, and production operability; collaborate across teams to reduce region build times and ship platform improvements. Work primarily with Go/Python/Shell, Kubernetes, IaC, and observability tools, and participate in on-call rotations.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.

The role involves building self-service platform services using Go, automating operational workflows, scaling Kubernetes, and ensuring reliability in cloud environments.

Build and maintain patient and provider portals and backend services for a digital engagement platform. Own features from design through release, lead/coordinate engineers, design APIs and microservices, drive migration to cloud-native/event-driven architectures, and contribute to long-term architecture and tooling.

Design, build, and operate exascale distributed systems and orchestration for AI research. Implement storage and compute scheduling across multi-region clusters, improve reliability and observability, collaborate with security and platform teams, and translate researcher requirements into scalable, high-performance infrastructure.

Lead design and development of infrastructure, automation frameworks, and internal developer tools. Build scalable services, APIs, dashboards, workflow engines, and LLM-powered workflows integrated with CI/CD, source control, test infrastructure, and observability. Define architecture and reliability practices, mentor engineers, review designs, and provide technical leadership for automation and tooling projects.

Develop and maintain performant web applications in Go and Vue.js, design and implement RESTful APIs, optimize SQL queries and schemas, collaborate with product and design, participate in code reviews and testing, and work with cloud providers and CI/CD to improve platform performance and reliability.

Lead design and implementation of backend services and APIs for payments, billing, settlements, ledgers, and reconciliation. Drive architecture for highly available, auditable financial platforms, integrate with payment processors and banking partners, ensure transactional integrity, observability, and compliance. Deliver end-to-end initiatives, mentor engineers, and operate mission-critical systems with strong emphasis on reliability, security, and scalability.

Build and scale simulation infrastructure and test frameworks to validate autonomous driving systems at large scale. Design metrics and test sets for KPIs, automate and improve test tooling and data quality, collaborate across teams, troubleshoot system-level issues, and mentor junior engineers.

Work with senior engineers to develop, test, and maintain full-stack web applications. Build front-end interfaces, implement back-end APIs, write clean code, assist with testing and code reviews, participate in Agile ceremonies, and continuously learn new tools and best practices.

Design, execute, and automate functional, integration, regression, and release tests for a desktop application and related microservices. Validate end-to-end workflows across UI, APIs, and messaging, investigate defects, support production releases, maintain quality documentation, and mentor peers while ensuring PHI-safe practices.

Technical leader responsible for designing complex software modules and architecture, driving scalability, availability, and performance. Provide guidance to engineering teams, collaborate with product leaders and stakeholders, lead impact assessments and technology decisions, and implement solutions. Advocate reuse, coach agile practices, and ensure high-quality implementations across product versions.

Lead design and delivery of scalable, secure full-stack systems; mentor engineers; integrate AI-driven and agent-based workflows; ensure cloud-native, containerized deployments and secure SDLC practices.