Top Remote Python Jobs in San Diego, CA

Lead and scale a lending engineering team responsible for reliable, secure, distributed financial infrastructure. Responsibilities include hiring and mentoring engineers, setting technical strategy, making architecture decisions, partnering with Product, overseeing delivery, and promoting testing, CI/CD, monitoring, incident response, and continuous improvement. The role requires backend development, cloud and event-driven systems experience, and a strong record of leading high-performing engineering teams.

Perform manual and automated testing for lending applications and services. Develop and maintain test automation, write functional, regression, and API test cases, participate in test planning and defect triage, and track issues through resolution. Collaborate with internal and external teams to ensure reliable, scalable, and performant software while contributing to a quality-focused engineering culture.

Develop scalable backend software for lending infrastructure supporting loan origination, funding, servicing, and sales. Responsibilities include designing software modules, writing and testing maintainable code, building distributed and event-driven systems, participating in code reviews, and collaborating with senior engineers and cross-functional teams. The role uses C# or Python, relational and document databases, AWS, Docker, and Kubernetes, with emphasis on reliable, compliant financial technology.

Design and develop scalable enterprise software for the Lending team. Build backend systems using .NET, Python, relational and NoSQL databases, messaging systems, Docker, and AWS. Plan, triage, and prioritize work while applying object-oriented programming, SOLID principles, domain-driven design, distributed systems, and event-driven architecture practices.

Build and ship full-stack product features using Python, Django, PostgreSQL, JavaScript, and Vue.js. Scale Kubernetes and AWS infrastructure, develop Selenium-based test and workflow automation, integrate APIs and CI/CD pipelines, and improve monitoring and observability. Collaborate with customers, clinical stakeholders, and internal teams to analyze workflows and deliver production-ready solutions in healthcare technology environments.

Operate and improve production cloud infrastructure across Azure and AWS. Implement cloud security controls, vulnerability remediation, monitoring, incident response, and SOC 2 compliance processes. Automate operations with scripting, Terraform or Bicep, and CI/CD pipelines. Support reliability, cost optimization, infrastructure integrations, documentation, and on-call resolution for mission-critical SaaS products.

Build and maintain AI agents, workflow automations, and integrations supporting sales, marketing, customer success, and revenue operations. Enhance K-12 account intelligence, automate CRM and revenue processes, deploy AI assistants, maintain trusted data flows, measure business impact, enable nontechnical users, and ensure compliance with FERPA, COPPA, and student-privacy requirements. The role requires hands-on HubSpot or Salesforce expertise, LLM and workflow automation experience, scripting, SQL, API integration, and GTM systems knowledge.

Lead the architecture, development, operation, and evolution of PlayStation’s real-time analytics platform. Build scalable distributed data systems using streaming and OLAP technologies, integrate batch and streaming workloads, improve reliability and performance, and develop AI-powered engineering capabilities. The role provides technical leadership across teams, mentors engineers, drives architecture and standards, resolves production incidents, and participates in on-call support.

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.