Top Software Engineer Jobs in San Luis Obispo, CA

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

Join a small AI-native engineering team building and operating Affirm's bank systems. Own end-to-end bank infrastructure, durable workflows, vendor integrations, data platform, CI/CD, monitoring, and examiner-ready documentation. Use AI-assisted tooling to accelerate development, collaborate with Compliance/Risk/Finance, and mentor growing engineering talent.

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

Senior fullstack engineer to build and scale Brigit's consumer finance platform. Own end-to-end features across frontend (React/React Native/TypeScript) and backend (Java/REST/SQL), optimize database and APIs for high scale, integrate 3rd-party services, implement risk and transaction algorithms, improve CI/CD, testing, monitoring, and internal tooling to support millions of users.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

Serve as the senior software development SME while performing full-stack Java web development and O&M activities. Guide developer teams, prioritize work, coordinate technical meetings, resolve issues, optimize processes, analyze requirements, estimate effort, review code, conduct testing, troubleshoot environments, create technical documentation, and implement software updates. The role requires extensive J2EE experience, SPA development, DevOps and CI/CD expertise, and active Public Trust/MBI clearance supporting an IRS Criminal Investigation system.

Senior full-stack engineer responsible for architecting, developing, deploying, monitoring, and supporting production capabilities across a React, Node.js, PostgreSQL, Rust, and Azure Kubernetes platform. The role includes delivering AI and LLM features, owning complex technical initiatives, improving reliability and security, contributing to architecture and engineering standards, partnering with stakeholders, and mentoring engineers.

Develop backend services and APIs that streamline client activation and production onboarding. Build and enhance integrations with core provider APIs, checkbook ordering, ACH transfers, and product services. Collaborate with clients to understand account-opening nuances and partner with product teams to incorporate them into the platform. Write clean, documented, tested code; address error handling, logging, edge cases, system design, performance, and architectural tradeoffs. Provide technical guidance and code reviews.

Staff Software Engineer responsible for setting technical direction, leading complex initiatives, partnering with product and design, mentoring engineers, and owning reliability, performance, observability, and on-call operations. The role spans backend data models and asynchronous processing through frontend design systems and visualizations. Required experience includes 10+ years of full-stack software development, Ruby, PostgreSQL, React, TypeScript, scalable relational systems, and AI-assisted development practices.

Build and operate full-stack, cloud-native applications for network automation and mission platforms using Python, Go, JavaScript, and TypeScript. Develop APIs, AI agents, generative user interfaces, integrations, and telemetry workflows. Contribute to CI/CD, Infrastructure as Code, containerized deployments, production troubleshooting, security, observability, and architecture. Collaborate across software, cloud, platform, product, and security teams in an ambiguous, mission-focused environment.

Summer 2027 software engineering intern who will design, develop, integrate, and enhance complex software applications and product features. The intern will collaborate with engineering teams, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and contribute to customer-focused innovation. The role includes mentorship, professional development, relocation benefits, and short-term housing eligibility.

Develop and integrate complex software applications as part of a Honeywell engineering team. Interns will contribute software features to customer products, create innovative solutions, apply software development lifecycle and configuration-management practices, and collaborate with engineers in a global organization. The internship includes hands-on technical experience, mentorship, professional development, and potential relocation benefits and short-term housing.

Build and ship robust Android features for ClassPass in a large modular codebase. Collaborate with product and design, mentor junior engineers, conduct code reviews, write technical documentation, solve complex problems, improve systems, and contribute to architectural decisions using Kotlin and Jetpack Compose.

Develop and maintain secure full-stack web applications, APIs, integrations, databases, and production infrastructure. Rapidly prototype with AI-assisted development tools, then audit, refactor, test, secure, deploy, and monitor the resulting software. Integrate healthcare, CRM, billing, communications, and enterprise systems while protecting PHI and supporting HIPAA safeguards. Collaborate with executives, analysts, vendors, and operational teams to translate business needs into maintainable technical solutions, troubleshoot incidents, and continuously improve reliability and delivery speed.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

Designs, develops, and maintains complex full-stack applications; contributes to architecture, design patterns, code reviews, debugging, and performance improvements. Collaborates with product managers, QA engineers, and stakeholders in Agile delivery processes. Maintains coding standards, stays current with technology trends, and mentors junior developers while delivering scalable, high-quality software solutions.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Lead design, build, deployment, and operation of highly resilient, high-throughput configuration and publishing systems. Define long-term architecture and strategy, mentor senior engineers, diagnose and fix performance bottlenecks, and leverage AI tools to improve engineering productivity and platform capabilities.

Design, deploy, enhance, and support secure custom government network platforms and cloud services. Manage CI/CD pipelines, build systems, testing frameworks, distributed databases, and storage ecosystems. Lead technical initiatives, code reviews, security patching, Agile SDLC releases, and system performance improvements. Collaborate with Operations, Engineering, and SRE teams to troubleshoot complex issues and deliver resilient application delivery networks.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

Designs and delivers complex cross-system integrations, APIs, automation workflows, and reusable engineering solutions. Diagnoses root causes, improves reliability, documents risks and runbooks, participates in on-call support, and partners with commercial, product, and engineering stakeholders. The role also mentors engineers and non-engineers, guides technical trade-offs, scopes ambiguous problems, and delivers measurable operational improvements.

Own end-to-end software integration across firmware, BSP, drivers, GPU software, services, and release systems. Lead system-level debugging of boot failures, crashes, resets, power transitions, performance regressions, and update issues. Analyze logs, traces, crash dumps, and hardware diagnostics to identify root causes, automate failure classification, integrate partner software, and coordinate cross-functional resolution across firmware, kernel, hardware, architecture, and OS teams.

Set technical direction for distributed messaging systems handling billions of messages daily. Make architecture decisions balancing scale, cost, and reliability; solve ambiguous cross-team problems; establish engineering standards; mentor senior engineers; improve processes and tooling; assess candidates; and use AI agents for multi-file software changes.