Top Remote Python Jobs in San Diego, CA

Develop and maintain enterprise Ansible automation, infrastructure-as-code solutions, scripts, REST APIs, CI/CD pipelines, and integration workflows. Manage the full automation development lifecycle, troubleshoot production issues, provide technical support, document runbooks, and collaborate with infrastructure, security, and service teams. The role requires secure coding, multi-platform expertise, Agile delivery, on-call participation, U.S. citizenship, and eligibility for Public Trust clearance.

Own and scale a large AWS multi-account platform, maintaining account baselines, guardrails, identity, networking, containers, patching, drift, costs, and logging. Build platform features, infrastructure-as-code templates, and CI/CD pipelines; automate repetitive operations; monitor platform health; respond to incidents; and ensure changes meet regulated-environment change-control and audit requirements.

Develops wafer-test infrastructure and design-verification experiments for photonic and electronic integrated circuits. Responsibilities include characterizing devices, automating wafer and chip test stations, integrating commercial hardware, analyzing measurement data, collaborating with design teams, and creating custom hardware with CAD and rapid prototyping to support manufacturing.

Leads data engineering teams while designing and optimizing scalable batch and real-time data pipelines on cloud platforms. Responsibilities include developing PySpark and Spark workflows, orchestrating Airflow DAGs, managing cloud infrastructure, implementing CI/CD, improving data quality and performance, and mentoring engineers. The role collaborates with clients, product, architecture, and program management teams, while applying generative AI and DevOps practices to improve engineering productivity and operational efficiency.

Operates and designs hybrid on-premises and AWS network infrastructure, including VPCs, Transit Gateway, VPN, Direct Connect, routing, firewalls, and security controls. Leads CIDR remediation, maintains network documentation and IPAM records, automates infrastructure with Terraform, Ansible, and Python, and supports FedRAMP-aligned environments. The role coordinates Network and Cloud Ops teams, mentors engineers, manages vendors, handles Tier 1 and Tier 2 escalations, and participates in a 24x7 on-call rotation.

Lead the design, operation, and modernization of large-scale infrastructure environments, including QEMU/KVM virtualization, private cloud, distributed storage, and infrastructure as code. Drive VMware-to-KVM migration, storage platform migration, monitoring, resilience, incident root-cause analysis, and automation. Mentor junior engineers, support CI/CD infrastructure, participate in on-call rotations, and provide technical leadership across distributed teams.

Evaluates AI coding-agent interactions for technical quality, engineering judgment, reasoning, explanations, and user trust. Provides detailed written and recorded feedback, distinguishes response quality levels, and helps define standards for tools such as Codex, Claude Code, and Cursor. This remote contract requires strong TypeScript, JavaScript, or Python experience, familiarity with AI-assisted development workflows, and senior-level engineering judgment.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Own the architecture and evolution of Backblaze’s observability platform across multiple data centers. Lead metrics, logging, tracing, dashboards, infrastructure automation, Kubernetes deployments, Ceph monitoring, and network observability. Establish technical standards, capacity strategies, documentation, and operational practices while mentoring engineers and partnering across SRE, storage, network, security, and application teams. Evaluate AIOps and agentic AI solutions to improve incident detection, correlation, and response.

Evaluate AI coding-agent interactions for correctness, usefulness, engineering judgment, explanation quality, and user trust. Provide clear, opinionated written feedback, distinguish response-quality levels, and help define standards for tools such as OpenAI Codex, Claude Code, and Cursor. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, hands-on AI-assisted development experience, excellent English communication, and the ability to assess code without executing or reviewing every line.

Administers and supports Omnissa Workspace ONE, Microsoft Intune, and macOS endpoints while developing ServiceNow and Power BI dashboards, KPIs, and executive reports. Automates reporting and operational workflows using Power Automate, PowerShell, Python, and APIs. Monitors endpoint compliance, system health, and security posture; partners with engineering, security, and operations teams; and documents incidents, resolutions, and change-management activities.

Build and operate full-stack certificate management, security, monitoring, and vulnerability products. Develop TypeScript APIs and React frontends, design MySQL schemas, manage AWS workers and Kubernetes infrastructure, maintain legacy .NET and Python services, integrate partner APIs, improve CI/CD and observability, participate in on-call support, and develop AI-assisted features. The role includes code reviews, testing, incident resolution, technical documentation, and mentoring engineers.

Design, deploy, secure, and maintain scalable AWS infrastructure using Terraform and GitLab CI/CD. Provide application and cloud support, monitor systems, troubleshoot incidents, manage IAM, perform maintenance and backups, improve observability and reliability, and guide cloud architecture and deployment decisions. Collaborate with engineering, security, data, and infrastructure teams while supporting audits, documentation, disaster recovery, and on-call operations.

Owns production infrastructure across Kubernetes, CI/CD, Linux systems, virtual machines, and AI accelerator environments. Responsibilities include incident response, troubleshooting, automation, monitoring, alerting, patching, upgrades, certificate renewals, capacity checks, runbook development, and on-call support. The engineer collaborates across IT and product software teams and contributes to infrastructure design and build work.

Build and deploy data-driven solutions for government customers, including data pipelines, backend services, analytical tools, entity resolution, risk scoring, and AI-assisted features. Lead engagements from discovery through deployment, integrate external data sources, support sensitive and air-gapped environments, validate findings, and translate customer needs into practical technical solutions while collaborating with Product and R&D.

Define and lead quality strategy for company reference data systems. Build automated testing across data pipelines, APIs, events, and end-to-end workflows; establish golden datasets, quality metrics, release gates, and regression coverage. Validate matching accuracy, data lifecycle risks, and production signals. Partner with developers and leaders, apply AI to testing, and coach engineers to improve quality across teams.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Build and maintain Python automations and multi-system integrations for 401(k) administration. Responsibilities include developing API and webhook integrations, managing production jobs, troubleshooting errors, refactoring legacy code, deploying projects, improving logging and code quality, documenting processes, and collaborating with business users, vendors, and IT. The role requires ownership of automation projects from discovery through production and focuses on resilient, scalable workflow improvements.

Owns end-to-end technical architecture across Rails, Python machine-learning services, agent infrastructure, and data platforms. Leads scalability, reliability, cost optimization, model infrastructure, architectural reviews, technical roadmap decisions, incident response, code reviews, and engineering mentorship. The role remains hands-on, requiring production coding and expertise in computer vision, LLM systems, cloud infrastructure, databases, background jobs, Kubernetes, and DevOps practices.

Designs, builds, and operates mission-critical satellite, service provider, corporate, and hybrid cloud networks. Responsibilities include routing and switching, network security and segmentation, AWS connectivity, automation with Python, Ansible, and Terraform, monitoring and observability, incident response, change management, documentation, and collaboration with software, FPGA, and mission operations teams. The role also participates in on-call support and advances network reliability, scalability, and programmability.

Leads customer-facing solution architecture and engineering enablement for secure, cloud-native government delivery projects. Responsibilities include advising customers, mentoring engineers, managing proof-of-concept initiatives, designing systems, building CI/CD pipelines, deploying and troubleshooting Kubernetes-based packages, and improving team processes. The role also supports demonstrations, technical content, market research, and growth initiatives while collaborating across technical and business teams.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Customer-facing engineer who builds demos, prototypes, and workshops to drive pre-sales and adoption of Motorq's connected-vehicle and AI capabilities; partners with sales, customer success, and product teams and travels regularly to customer sites.

Lead and mentor a product engineering team while remaining hands-on with coding, code reviews, architecture, and technical direction. Partner with product and cross-functional teams to deliver the roadmap, improve engineering quality, and build a culture of ownership. Requires strong software engineering experience, people leadership, React, TypeScript, Python, startup experience, customer-facing product experience, and regular coding. The role is remote in the US or Canada with occasional customer visits.

Manage and mentor a backend engineering team while remaining hands-on with technical design and problem solving. Set backend architecture, service strategy, roadmaps, and engineering standards for scalable, secure systems. Partner with product, data, infrastructure, and frontend teams to deliver reliable customer-facing software, deploy models, improve platform tooling, and support incident response. Recruit engineers, guide team development, and foster ownership and continuous improvement.