Top Remote Python Jobs in San Diego, CA

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Designs, codes, deploys, and operates quantitative DeFi vault strategies across lending, yield aggregation, structured products, RWAs, and other protocols. Responsibilities include strategy research, backtesting, optimization, risk modeling, protocol due diligence, onchain execution, monitoring, incident response, and production ownership. The role partners on launches and participates in on-call coverage for live strategies managing customer capital.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Teaches undergraduate and graduate software development courses online, develops syllabi and course materials, facilitates discussions, evaluates student work, provides feedback, and integrates responsible AI use into instruction. The role requires software development expertise, course preparation, assessment design, and ongoing faculty development. Candidates need a doctorate and substantial applied experience in software development or related computing disciplines.

Four-month, fully remote software engineering internship embedded within Wikimedia Foundation engineering teams. Interns complete a primary project with defined deliverables while learning through mentorship and hands-on work across mobile applications, editing tools, data platforms, release engineering, cloud infrastructure, observability, and contributor connection systems. The program requires 40 hours per week, independent problem-solving, collaborative communication, and foundational programming, database, scripting, and potentially SQL, Linux, networking, operating systems, or distributed-systems knowledge.

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.