Top Remote Software Engineer Jobs in Sacramento, CA

Build and improve a browser extension and serverless backend using a strongly-typed functional stack. Design algorithms to locate page elements, extract structured data, and integrate AI for web automation. Collaborate on a small distributed team focused on usability and reliability.

Develop and maintain ClickHouse's billing platform, integrate with external systems, design secure frameworks, and collaborate with cross-functional teams to enhance business processes.

The role involves building platforms and core systems for identity services at Keycard, focusing on developing distributed systems and CI/CD automation while creating a best-in-class developer experience.

Design and build operational data systems, including pipelines, storage layers, and APIs for near real-time enforcement and insights, balancing streaming and batch paradigms.

Own and deliver major features across the flight booking funnel: flight search, booking creation, and post-booking fulfillment. Implement award ticket pricing, point transfers, and integrations with airlines and GDS partners. Collaborate with the flights expert to scale routing, booking engines, and partnership integrations.

As a Compiler Engineer, you'll enhance compiler performance, support multiple operating systems, develop toolchains, ensure interoperability, and contribute to open source.

As a Backend Software Engineer, you'll design, develop, and optimize scalable backend platforms and services while collaborating with cross-functional teams.

Develop and improve real-time drone tele-operations features, cloud-based products, and quickly prototype new front-end experiences while transitioning to a new tech stack.

Develop and deploy life-saving technologies as a fullstack engineer, focusing on web applications for public safety, collaborating with various engineering disciplines and leveraging customer feedback.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

As a Software Engineer at MerusCase, you will develop and enhance software features, collaborate with teams, troubleshoot issues, and uphold coding standards while mentoring junior engineers.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Join Aleph's engineering team to develop the Core Product, focusing on user-facing features for financial data insights. Collaborate with leadership, design robust software components, and contribute to system architecture in a fast-paced, remote environment.

Lead the technical vision for complex systems, drive architectural strategies, write production-ready code, and align teams for public sector compliance.

The Software Engineer (Frontend) at Metabase will develop user-friendly data tools, leveraging React and CSS while ensuring optimal communication and coding practices.

Seeking exceptional software engineers to build and maintain user-friendly backend systems primarily in Clojure and JavaScript, focusing on product complexities and user experience.

As a Software Development Engineer II on the Search Geocoding team, you'll design and implement algorithms for efficient search retrieval, collaborate cross-functionally, and optimize solutions to enhance user experience.

Leads the technical direction, architecture, development, and delivery of online account opening and loan application products. Builds backend and frontend features, integrates core banking and financial APIs, ensures KYC/AML compliance and production reliability, and oversees testing, observability, incident response, and CI/CD quality. Mentors and hires engineers while collaborating with Product, QA, Implementation, and Client Success teams to deliver scalable, secure solutions and successful client go-lives.

Designs and maintains Java and Spring Boot microservices for a secure, scalable AWS foundation platform. The role focuses on authentication, identity integrations, APIs, cloud infrastructure, fault tolerance, CI/CD, production support, and reliability. Responsibilities include architectural design, code reviews, mentorship, cross-team collaboration, and monthly on-call support. Required expertise includes SAML, OAuth 2.0, OIDC, JWT, RBAC, AWS services, distributed systems, and secure cloud-native development.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

Join a remote Strategic Projects engineering team to turn AI-native prototypes into production-grade services. You will harden demos (LLM gateways, proxies, sandboxes), implement observability, error handling, and security practices, work with reference customers on integrations, and ensure agent-generated code meets production review and operational standards.

Lead design and delivery of large-scale, cloud-native services powering millions of devices. Architect solutions for scalability and integration, own full service lifecycle in Kubernetes, mentor engineers, participate in on-call support, and drive engineering best practices across cross-functional teams.

Build and operate an AI-native software development lifecycle across planning, coding, review, testing, deployment, and incident response. Develop internal AI agents, shared harnesses, CI/CD gates, automated QA, code reviewers, and developer workflows. Embed with engineering teams, ship on their backlogs, drive adoption, remove infrastructure and tooling blockers, and measure improvements in throughput, quality, cycle time, cost, and developer experience.