Top Remote Python Jobs in San Diego, CA

Lead architecture, integration, testing, release management, and lifecycle ownership of NOC platforms. Partner with engineering on tool roadmaps (ServiceNow, Splunk, Netcracker), validate integrations in non-production, act as Tier 3 SME for production issues, and manage vendor/API contracts to ensure resilient, scalable NOC operations.

Build and maintain integrations connecting CoLab to CAD, PLM, and enterprise systems. Design and implement desktop and web capabilities, troubleshoot PLM/CAD workflows, collaborate with Product and Customer Success, and mentor engineers to deliver scalable, reliable engineering lifecycle software.

Design and implement production-grade VLSI/EDA tools and methodologies for multi-die package design. Build flows, applications, and automation to construct, analyze, validate, and optimize package designs to accelerate tape-out and scale engineering teams.

Build and maintain automation flows and methodologies for VLSI interposer design. Develop tools and applications (Python/C++) to construct, analyze, and validate interposer designs, improve designer workflows, and integrate AI/ML-assisted techniques into EDA environments.

Lead design and delivery of end-to-end calibration systems for perception sensors and robot kinematics. Build algorithms, fixtures, on-fixture software, data pipelines, validation, operator workflows, and fleet monitoring. Own fixture software and in-field self-check/recalibration, define downstream manufacturing requirements, and coordinate with vendors and contract manufacturers. Hire, mentor, and develop engineering talent for calibration work.

Full Stack Software Developer responsible for designing, building, testing, and deploying scalable member-facing and internal applications. Work includes building APIs, database components, cloud-native solutions, CI/CD pipelines, and adopting AI-assisted development practices while collaborating in an Agile environment to improve member digital experiences.

Lead software design, architecture, and delivery for a defense-focused program: gather requirements, drive technical vision, coordinate cross-functional teams, implement front-end data-visualization features, integrate analytics/optimization, and manage unclassified-to-secure deployment and CI/CD to deliver working, government-deployable software.

Own and evolve Fieldwire's cloud production infrastructure and tooling: design and automate SDLC and IaC, ensure reliability and security, lead incident response and observability, mentor engineers, and drive platform architecture and process improvements.

Design, build, test, and continuously deploy scalable infrastructure and platform tooling. Create technical specs and rollout plans, collaborate with stakeholders, mentor teammates, support services in production, and shape engineering practices across teams.

Design, build, test, and maintain scalable web applications. Create responsive UIs with Angular or React (TypeScript), implement Python/Flask backends and RESTful APIs, design relational schemas, troubleshoot production issues, perform code reviews, and mentor junior developers.

Lead and grow an 8-10 person engineering team to design, build, and operate a multi-cloud data plane platform. Drive roadmap, delivery, release readiness, operational excellence, CI/CD, observability, incident management, and cross-functional partnerships with Product, Security, Infrastructure, and SRE.

Deploy, manage, validate, and optimize large-scale AI compute and HPC infrastructure in Linux environments. Serve as a technical liaison among NVIDIA, partners, and enterprise customers; lead planning through implementation, document handoffs, transfer knowledge, troubleshoot hardware and software, and provide feedback for product and architecture improvements. The role involves networking, system design, automation, benchmarking, cluster provisioning, and customer-site travel up to 30%.

Designs and delivers scalable software, data, and cloud solutions for client and internal projects. Translates requirements into technical designs, owns engineering workstreams, troubleshoots systems, integrates APIs and data pipelines, and communicates with technical and non-technical stakeholders. Collaborates with architects, project managers, and clients while maintaining engineering, security, testing, documentation, and quality standards in agile environments.

Design, architect, build, and scale reliable backend systems operating at Internet scale. Develop distributed, event-driven applications; design RESTful APIs and NoSQL data solutions; deploy cloud and serverless applications; containerize services; and establish CI/CD pipelines. The role emphasizes software development best practices, testing, clean architecture, reliability, scalability, and potential Open-Source Intelligence community experience.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

Lead the architecture and development of scalable backend APIs for music catalog, search, recommendation, personalization, and user interaction. Design data models, integrate third-party metadata and streaming services, optimize performance, implement observability, and ensure reliability. Establish engineering standards, review code, mentor developers, evaluate technologies, and collaborate with product, frontend, and data teams. The role requires extensive backend experience and expertise across cloud platforms, deployment, databases, caching, messaging, and CI/CD.

Supports the design and progressive ownership of Azure-based SaaS integrations, centralized data repositories, automated ETL/ELT pipelines, Power BI data models, and secure cloud workflows. Develops automation using Python, JavaScript, and JSON; troubleshoots APIs and authentication issues; documents integration processes; and collaborates with stakeholders. The role is intended for an early-career cloud engineer who will grow toward independently managing cloud data architecture and integration solutions.

Design and build RL post-training infrastructure for AI, optimizing training-inference-rollout on distributed systems while ensuring fault tolerance and scalability.

Build and operate internal IT systems across identity, endpoints, Google Workspace, Slack, SaaS governance, and automation. Own Okta access engineering, Workspace ONE macOS fleet management, lifecycle workflows, compliance controls, audit evidence, and technical escalations. Partner with Security, Engineering, People, and Finance to improve security, reliability, and scalability while reducing manual IT support through automation.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Own identity and access engineering in Okta, macOS endpoint management in Workspace ONE, Google Workspace and Slack administration, SaaS governance, and IT automation. Build onboarding, deprovisioning, access reporting, device compliance, and audit-evidence workflows. Serve as a technical escalation point for identity, endpoint, access, and internal infrastructure issues while translating security and compliance requirements into durable IT controls.

Build and maintain scalable, highly available payments risk systems that detect, mitigate, and resolve fraud and other malicious activity. Develop service-oriented APIs, real-time risk services, vendor and payment-network integrations, monitoring, and alerting. Collaborate with product managers, data scientists, operations, and engineering teams to evolve risk strategies, deliver product features, conduct experimentation, and maintain high engineering standards.

Build high-fidelity wireless network models in Spacetime, develop Python or Go adapter layers, create Protobuf/JSON/gRPC data schemas, perform link-budget and propagation analyses, and support live customer networks as a tier-three escalation lead. Collaborate with product and software engineering teams to convert custom integrations into reusable features. The role requires software engineering fundamentals, physical-layer communications knowledge, system modeling experience, and at least three years of engineering experience.

Designs, executes, and analyzes orbital maneuvers; monitors satellite orbits and pointing performance; generates precise ephemerides; develops automated satellite maintenance tools; supports Space Situational Awareness; and assists with launch commissioning, tracking strategies, communications, and subsystem calibration.