Top Remote Software Engineer Jobs in San Luis Obispo, CA

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.

Build and maintain intuitive frontend web applications for data upload, search, visualization, and interactive 2D/3D geospatial tools. Collaborate with scientists to design complex visualizations, modernize the frontend stack, mentor junior developers, and implement automated UI testing and deployment pipelines.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Own and ship full-stack product features in weekly cycles: scope solutions, build backend services and UIs, use AI tooling for development, ensure code quality and production readiness, measure impact, and communicate with stakeholders.

Build end-to-end fullstack features for Threat Narrative and Email Details, implementing backend APIs, data models, and React/TypeScript UIs. Integrate GenAI/LLM systems to generate explainable narratives, own SLAs/SLOs and observability, participate in design/code reviews, and collaborate with product and cross-functional partners to improve detection explainability and customer-facing experiences.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.

Develop and operate SpiceDB and AuthZed’s open-source authorization ecosystem. Design, implement, test, deploy, and optimize distributed systems involving databases, cloud infrastructure, query planning, scalability, reliability, and performance. Participate in production operations and on-call rotations, troubleshoot complex issues, collaborate with users and contributors, mentor engineers, and contribute to technical documentation and industry discussions.

Build core digital banking experiences for bank administrators and customers, including user flows, robust APIs, and third-party integrations. Design and implement scalable backend services using microservice architecture and domain-driven design. Write clean, documented, tested code with strong error handling, logging, and performance considerations. Contribute to system design, architectural decisions, code reviews, and technical guidance within an Agile Scrum environment.

Design, build, and scale backend services, microservices, APIs, and secure cloud applications for physical AI solutions. Integrate AI models and data pipelines, manage infrastructure across AWS, Azure, or GCP, implement testing and CI/CD practices, support real-time data systems, and mentor junior engineers. The role also requires front-end development with React and JavaScript, SQL database work, data visualization, production deployments, and frequent client-site travel.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Design, build, and operate scalable APIs and event-driven backend services using TypeScript, Node.js, Python, Kafka, and PostgreSQL. Develop infrastructure as code and CI/CD pipelines, troubleshoot production systems, and participate in on-call support. Provide technical leadership through architecture reviews, API and event standards, code reviews, mentoring, and cross-team guidance. Help improve engineering quality, reliability, scalability, development tooling, and adoption of AI-assisted development practices.

Designs, develops, documents, tests, and debugs software for the Next Generation Jammer program, including support equipment and simulators. Develops embedded, desktop, web, autonomous, scripting, and utility applications; analyzes system requirements; troubleshoots software issues; collaborates with subject matter experts; prepares operating instructions; and ensures software standards are met.

Develop and lead implementation of mathematical optimization models for supply chain applications. Investigate heuristics and optimization techniques, translate real-world problems into software, and design comprehensive testing strategies. Build robust C++ software, automated functional, regression, and performance tests, and collaborate with agile teams. Apply AI and other tools to accelerate development while maintaining architectural consistency, security, and code quality. Review AI-generated code for correctness, integration risks, and edge cases.

Develop and maintain automated testing tools and frameworks for complex healthcare software. Create test plans, execute white-box, black-box, UI, API, and performance testing, identify defects and testing gaps, improve CI/CD processes, and collaborate with product managers and developers to support high-quality releases. The role also involves debugging code, participating in demos, and working with distributed teams in a remote environment.

Designs, develops, tests, and maintains complex distributed software systems. Leads design and code reviews, translates requirements into scalable solutions, guides agile sprint teams, resolves delivery impediments, collaborates with stakeholders, and mentors engineers. The role emphasizes high-quality backend development, cloud technologies, APIs, microservices, containerization, security, scalability, and technical strategy.

Designs, develops, and maintains complex software test automation frameworks, tools, libraries, and performance tests. Integrates automated testing into CI/CD pipelines, analyzes test results, enforces coding standards, reviews code, troubleshoots issues, and mentors junior engineers. Collaborates cross-functionally to support quality releases and develops reusable testing solutions using modern programming languages, cloud platforms, containerization, API testing, and automation technologies.

Design, develop, and maintain complex distributed software systems. Write tested, scalable code; translate requirements into robust designs; lead design and code reviews; guide sprint teams; collaborate with stakeholders; and mentor engineers. The role emphasizes software quality, security, compliance, maintainability, technical strategy, and delivery of new features across applications.

Designs, develops, tests, and maintains complex distributed software systems. Leads design and code reviews, translates product requirements into scalable solutions, leads sprint teams, removes delivery impediments, collaborates with stakeholders, and mentors engineers. The role emphasizes backend development, cloud technologies, microservices, APIs, databases, containerization, DevSecOps, technical strategy, and delivering secure, maintainable, high-quality software.

Provides technical leadership across multiple agile engineering teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include writing and reviewing code, translating requirements into scalable designs, leading architecture and code reviews, resolving delivery impediments, mentoring engineers, and collaborating with product managers on roadmap planning and prioritization. The role requires expertise in backend development, cloud platforms, microservices, databases, APIs, messaging, containerization, DevSecOps, and operational excellence.

Designs, develops, tests, reviews, and maintains complex distributed software systems. Leads sprint teams, translates product requirements into scalable and secure designs, drives code and design reviews, collaborates with stakeholders, removes delivery impediments, and mentors engineers. The role requires strong software development, architecture, API, database, messaging, containerization, DevSecOps, and technical leadership experience, with preferred expertise in Java, Spring Boot, MongoDB, cloud platforms, and AI-assisted development tools.

Provides technical leadership across multiple agile teams, designing, developing, testing, and maintaining complex distributed software systems. Leads architecture and code reviews, translates product requirements into scalable solutions, removes delivery impediments, collaborates with product managers and stakeholders, and mentors engineers. The role requires backend development, cloud technologies, microservices, APIs, messaging, containerization, DevSecOps, observability, and technical strategy experience.