Top Remote Python Jobs in San Diego, CA

Operate and support enterprise PLM platforms, including installation, configuration, upgrades, migrations, integrations, performance tuning, and high availability/disaster recovery. Partner with engineering, manufacturing, and functional teams to maintain a reliable and secure PLM ecosystem. Required expertise includes Windchill or Teamcenter, database and Linux administration, scripting, troubleshooting, and PLM middleware. Cloud, infrastructure-as-code, CI/CD, certification, and large-scale CAD integration experience are preferred.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Build and lead development of high-availability backend services for Affirm’s card loan platform. Design scalable APIs, data models, microservices, and event-driven systems supporting real-time loan attribution, approvals, origination, and refunds. Drive technical strategy, troubleshoot complex performance issues, collaborate with cross-functional teams, and mentor engineers while ensuring long-term system robustness and scalability.

Designs, deploys, and operates secure, resilient Azure cloud platforms and production workloads. Responsibilities include cloud architecture, infrastructure as code, automation, security hardening, cost optimization, observability, AKS cluster operations, CI/CD, troubleshooting, and operational excellence. Partners with application development, security, and SRE teams to deliver scalable, reliable, and compliant cloud-native solutions.

Designs and builds end-to-end Industrial IoT systems spanning factory-floor edge devices, industrial protocols, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards. Develops production-quality software, integrates OT and IT environments, troubleshoots systems, participates in design and code reviews, communicates with cross-functional stakeholders, and mentors junior engineers. Preferred experience includes digital twins, predictive maintenance machine learning, time-series databases, and Unified Namespace patterns.

Design and build software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. Collaborate with hardware and EDA teams, develop scalable compute infrastructure and data pipelines, automate workflows, debug complex systems, and translate ambiguous requirements into production-quality solutions. The role also involves code and design reviews, cross-functional communication, documentation, and mentoring junior engineers.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Leads software teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Builds prototypes and high-performance user interfaces, translates operator needs into features, integrates systems, and conducts deployment and field testing in secure operational environments. The role combines customer collaboration, product discovery, engineering leadership, and software delivery in high-security settings.

Owns the full lifecycle of operational software products, from concept through production. Builds and tests reliable, user-focused features; scales prototypes; triages issues and identifies root causes; and partners with product teams, mission engineers, architects, and end users to deliver effective solutions. The role requires strong React, TypeScript, and Python skills, performance optimization experience, and collaboration across technical and non-technical stakeholders.

Designs and maintains infrastructure-as-code foundations for cloud and hybrid environments. Responsibilities include developing reusable Terraform modules, managing state and workspaces, hardening CI/CD pipelines, enforcing policy-as-code, standardizing infrastructure delivery, and troubleshooting large-scale infrastructure. The role requires strong cloud networking, identity, security, scripting, Git workflows, and Terraform expertise, with preferred experience in multi-cloud environments, FinOps, and Terraform ecosystem tools.

Reliability Engineer responsible for improving the availability, performance, and operational excellence of large-scale distributed systems. The role involves building automation, operating Linux and Kubernetes environments, managing observability and CI/CD, designing for reliability, leading incident response, and conducting post-incident reviews. Preferred experience includes SLOs, error budgets, chaos engineering, cloud platforms, capacity planning, load testing, and service mesh technologies.

Designs and operates observability platforms covering metrics, logging, tracing, dashboards, storage, and alerting. The engineer will manage high-throughput telemetry pipelines, improve signal quality, integrate observability with CI/CD and incident tools, and apply SRE practices including SLOs and error budgets. Responsibilities also include supporting Linux and container platforms, optimizing observability costs, and communicating actionable insights to engineering and business stakeholders.

Build and scale AI-enabled developer experience systems, including CI/CD platforms, deployment safeguards, observability, automated response workflows, and multi-agent orchestration. Reduce developer toil and technical debt while improving software delivery speed, safety, reliability, and production quality. Partner with engineering teams to adopt AI-native delivery practices and convert emerging capabilities into scalable internal platforms.

Lead backend engineering strategy for Affirm’s search and recommendation platform. Design and launch highly available distributed systems, guide technical architecture and execution, improve team operations and reliability, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on search, recommendations, consumer shopping experiences, monetization, and scalable platform foundations.

Develop and scale backend streaming and data infrastructure using Kafka, Flink, AWS, Kubernetes, and related technologies. Break down projects, deliver tested software, collaborate with product and engineering teams, monitor system availability, participate in on-call support, debug code, conduct code reviews, and contribute to team development.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include database control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and operational support. The role also leads technical delivery, mentors engineers, establishes quality standards, collaborates cross-functionally, and contributes to team roadmap and on-call operations.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Build and maintain production-grade network automation across multi-vendor enterprise networks. Develop Python automation using network APIs, infrastructure-as-code, Ansible, and CI/CD practices. Automate configuration, change management, and observability while collaborating with cross-functional stakeholders. Participate in code and design reviews, communicate technical solutions, and mentor junior engineers. Apply strong networking expertise across routing, switching, BGP, and modern network automation tools.

Supports Juniper MX and Routing Director platforms in large-scale ISP and data center environments. Plans network deployments, develops implementation plans, tests solutions, troubleshoots hardware and software issues, manages JTAC cases, and delivers documentation, root-cause analyses, briefings, and training. The role requires advanced routing and switching expertise, customer-facing service delivery, network automation knowledge, U.S. citizenship, an active TS/SCI clearance with CI polygraph, and approximately 25% travel.

Develop and maintain CI/CD pipelines, integrations, developer tools, observability systems, and shared developer resources. Troubleshoot production issues through root cause analysis, resolve technical problems, design maintenance procedures, and apply security updates. The role requires collaboration, independent work within established frameworks, and proficiency with Git workflows, Java, Groovy or Python, Docker, Jenkins, and AI prompt engineering.

Provides senior network engineering support for Juniper MX and Routing Director platforms in large-scale ISP and data center environments. Responsibilities include network deployment planning, implementation, testing, troubleshooting, customer support, JTAC case management, root cause analysis, documentation, and technical briefings. The role requires expertise in routing, switching, WAN transport, MPLS, VPNs, automation, and network operations, with remote work and customer-site travel.

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.

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Lead and mentor a remote team of 3–6 engineers building and operating CrowdStrike’s internal cloud management platform. Provide technical guidance, code review oversight, architectural input, roadmap execution, hiring support, and professional development. The role involves developing Go and TypeScript APIs and UIs, maintaining highly available cloud infrastructure, collaborating with leadership, and delivering reliable software at scale.