Top Remote Linux Jobs in San Diego, CA

The role involves developing scalable safety infrastructure, APIs, and monitoring systems while collaborating with ML engineers to integrate AI models into production.

Design and lead Federal Salesforce Service Cloud and Experience Cloud solutions, produce compliant architecture and design documents, liaise with Federal stakeholders, mentor teams, mitigate technical risks, and support Federal bids while ensuring security and Government Cloud Plus best practices.

Act as the technical front line for developers on Solana: troubleshoot and reproduce issues, ship code samples, SDKs, demos, docs, and automation, collaborate with engineering on fixes and prototypes, and support developers in Discord and Telegram to drive product improvements.

Design and develop high-quality applications, lead feature implementation, collaborate with cross-functional teams, and ensure scalable software solutions.

Architect and build scalable, secure backend microservices for Payments, Disbursements, or GRC squads. Implement payment and disbursement workflows, KYC/compliance pipelines, and cloud infrastructure using Google Cloud and Kubernetes. Collaborate cross-functionally, mentor junior engineers, and optimize systems for high throughput, reliability, and regulatory compliance.

As a Backend Engineer, you'll build and maintain integrations with financial systems, solve data synchronization challenges, and contribute to backend features' delivery.

As a Python Developer Trainee, you'll assist in developing backend services, automation scripts, and support debugging while learning frameworks like Django and FastAPI.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.

As a Senior Software Engineer, you will develop secure, scalable medical imaging platforms, architect distributed systems, and work with AI diagnostic tools.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.