Top Remote Python Jobs in San Diego, CA

Lead design, governance, and scaling of CrowdStrike's Atlassian Cloud ecosystem for 12,000+ employees. Own architecture, migrations, app governance, integrations, workflow automation, SDLC traceability, and stakeholder mentorship to ensure secure, performant, and standardized platform operations.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

As a Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

Lead and grow a 5–10 engineer autonomy integration team for V-BAT/X-BAT, owning delivery, hiring, mentoring, and technical health. Drive integration of autonomy software (mission behaviors, VTOL transitions, multi-agent coordination), collaborate tightly with aircraft, perception, and capability teams, run ICDs and field tests, and support live exercises and deployments (20–30% travel).

Integrate, characterize, calibrate, and validate multi-modal navigation sensors (IMUs, GNSS, cameras, altimeters). Develop test plans, calibration scripts, and data-processing tools; collaborate across electrical, mechanical, and software teams; support schematics, CAD, drivers, and lab-based sensor testing through production.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

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.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Lead end-to-end technical integrations with enterprise healthcare customers from pre-sales through production. Scope and deliver architecture, POCs, API integrations, data mappings, and runbooks. Ensure AI/ML features meet regulatory and clinical safety standards, build reusable integration patterns, collaborate cross-functionally, and mentor junior engineers to drive successful go-lives.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Lead technical integrations of Cedar's platform with client healthcare systems: discover requirements, map data formats, validate data/UAT, communicate technical security and authentication needs, manage complex projects, and represent customer needs to engineering and product teams.

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

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.

Technical leader for Salesforce release lifecycle: design and evolve enterprise CI/CD, automate deployments, manage cross-system releases (Salesforce, NetSuite, AWS), resolve deployment and production issues, and integrate AI-driven tooling to improve velocity, reliability, and developer self-service.

Drive post-silicon bring-up, characterization, qualification, and productization of advanced-node bitcoin mining ASICs from first silicon to mass production. Develop and maintain ATE test programs and screening strategies, perform PVT characterization and DOE, analyze wafer/package/ system data to improve correlation, yield, and system performance, and collaborate with foundry, OSAT, design, firmware, and manufacturing partners to implement corrective actions and production-ready processes.

Own the technical lifecycle and operational health of a global high-density GPU fleet. Validate hardware, benchmark performance, monitor uptime and SLAs, automate operations using LLMs/agents, perform deep network and system-level troubleshooting, coordinate incident communications, and support infrastructure partners.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

Maintains and improves large-scale production systems across bare-metal servers, virtual machines, and container platforms. Responsibilities include Linux administration, architecture recommendations, hardware troubleshooting, production deployments, scripting and automation, monitoring, CI/CD, configuration management, technical documentation, and on-call support. The role collaborates with distributed cross-functional teams, uses AI to improve workflows, and requires periodic business travel and government-related background and fingerprint checks.

Validate server hardware components and new platform designs through power, thermal, performance, firmware, and automation testing. Maintain hardware test infrastructure, document technical findings, coordinate with ODM/OEM partners, and collaborate with software teams on BIOS, kernel, and firmware optimization. The role requires expertise in server architectures, validation methodologies, Linux, Python, Bash, Redfish, IPMI, and industry standards including PCIe, NVMe, and DDR.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

Leads the architecture, integration, governance, and operational health of the marketing technology ecosystem. Designs cloud-native APIs, data pipelines, identity models, and AI-enabled workflows across Adobe, Salesforce, CRM, CDP, analytics, and activation platforms. Manages platform roadmaps, technical teams, vendors, budgets, governance, security, and delivery. Partners with Marketing, IT, Data, Legal, Privacy, and Security to enable scalable, compliant martech and AI adoption while translating technical decisions into business outcomes.

Own Garner’s cloud reliability strategy across AWS and Kubernetes, including SLOs, observability, incident response, infrastructure automation, cost optimization, and security compliance. Lead complex incident resolution, architect Terraform-based infrastructure, establish deployment and monitoring standards, mentor engineers, and use AI tools to automate operational work. Support high-scale AI/ML workloads while setting technical direction for platform reliability and production quality.