Top Remote Software Engineer Jobs in San Diego, CA

The role involves full-stack software development, adhering to Agile practices, and collaborating across teams. Responsibilities include coding, testing, and maintaining software systems while mentoring team members.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

Develop, modernize, operate, and maintain mission-critical software for CNMOC. Responsibilities include architecture, coding, testing, debugging, ETL/ELT pipeline development, data integration, cloud and container operations, translating customer needs into user stories, sprint delivery, technical communication, and mentoring developers. The role also supports geospatial systems, databases, DevSecOps practices, Agile ceremonies, and customer issue escalation.

Lead architecture and build full-stack web applications (Rails, Sinatra/Padrino, Django). Own infrastructure, data modeling, API design, and performance; write robust tests; mentor engineers; integrate AI/ML features; and collaborate with stakeholders to shape product and scale the platform.

Lead design and delivery of full-stack, AI-powered products and platform capabilities. Own technically complex, mission-critical areas end-to-end, partner with product and customer teams, scale data ingestion and APIs, and mentor engineers to raise engineering quality and velocity.

Lead technical strategy and delivery for mobile app infrastructure, owning shared components (design system, networking, CI/CD, observability, releases, tooling). Collaborate cross-functionally, set code/design standards, ensure operational readiness and on-call processes, mentor engineers, and drive large, business-impacting projects and migrations across the JS↔native boundary.

Lead design, build, and deploy scalable, reliable Java-based microservices in a cloud-native, event-driven AWS environment. Own backend feature design, code quality, automated testing, and FedRAMP release processes. Mentor engineers, participate in on-call/TechOps, integrate AI tools into development, and drive architecture, observability, and cross-team initiatives.

Develop and support secure payment solutions across Ingenico EMV terminals, .NET backend services, Android integrations, processor gateways, tokenization, and mobile wallets. Implement payment workflows, device management, webhooks, settlement, reconciliation, and reporting. Participate in EMV Level 3 certification, regression testing, production troubleshooting, and reliability improvements while collaborating with internal teams and external processors.

Lead technical strategy and execution for a backend ledger team building highly available, audit-grade financial systems. Drive architecture, reliability, monitoring, on-call practices, code quality, cross-functional collaboration, and mentoring to ensure accurate, scalable ledger operations.

Provides hands-on technical leadership for Pantheon’s P1 zero-to-one product and company-wide engineering strategy. Owns architecture across real-time collaboration, APIs, data, publishing, integrations, and developer experience; establishes reliability, security, observability, and delivery standards; guides build-versus-buy decisions; mentors senior engineers; partners with product, design, security, infrastructure, and customers; and contributes code to validate architecture and unblock critical initiatives.

The Senior Production Engineer will scale AI infrastructure, manage production systems, implement monitoring capabilities, and ensure reliability and performance across NVIDIA's AI clusters.

Design, develop, deploy, and maintain scalable Workday Finance software, APIs, backend services, distributed systems, and data models. Support financial transactions, accounting, billing, revenue, reporting, reconciliation, and auditability. Troubleshoot production issues, improve reliability and observability, contribute to CI/CD and testing, participate in architecture decisions, and mentor engineers while partnering with Product Management and Finance experts.

Build and maintain software integrations connecting Cribl’s stream-processing engine with systems such as Splunk, Elasticsearch, Kafka, and cloud storage platforms. Research third-party technologies, develop robust Node.js and TypeScript code, create automated and integration tests, collaborate across engineering and product teams, participate in code reviews and on-call support, and contribute to documentation and technical communities.

Staff Software Engineer responsible for shaping technical strategy and architecting automation systems for package creation, testing, and container image builds. The role involves developing production Go, AI- and LLM-powered developer tooling, quality frameworks, CLIs, and scalable services. Responsibilities include mentoring engineers, influencing roadmaps, improving reliability, and collaborating across distributed teams. Candidates need strong systems architecture, Linux, build systems, container ecosystem, and developer tooling experience, with familiarity in software supply chain security preferred.

Build and maintain automation systems for package creation, testing, and container image generation. Develop Go-based CLI tools, services, and integrations, along with AI- and LLM-powered pipelines for manifest generation, test scaffolding, and validation. Create quality tooling, evaluation loops, and security gates while contributing to system architecture and roadmap planning. Collaborate with distributed engineering teams across North America, Europe, and India.

Build and own reliable, secure, scalable backend systems for real-time card authorization and fraud prevention. Develop customer-facing features including rules, velocity controls, 3D Secure flows, fraud tooling, and transaction monitoring. Lead projects end-to-end, improve system reliability, participate in on-call rotation, and drive process improvements while solving distributed-systems challenges at scale.

Design, scale, and optimize APIs, services, databases, and critical wagering, financial ledger, and regulatory systems. Lead complex technical initiatives, improve production performance and resilience, build integrations and migrations, manage monitoring, and mentor engineers. The role requires ownership of end-to-end delivery, on-call operations, scalable distributed systems, GraphQL, relational databases, Kubernetes, asynchronous processing, and highly accurate, auditable financial systems.

Work on backend and frontend features for a waste-management SaaS: build Java/Spring Boot services, React UI, work with PostgreSQL/PostGIS, debug production, write tests, collaborate with Customer Success, participate in on-call rotation, and adopt AI-assisted development tools.

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.