Top Remote Python Jobs in San Diego, CA

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Designs and maintains automated testing frameworks for AI-powered applications, APIs, backend services, and distributed systems. Defines test strategies, acceptance criteria, evaluation metrics, tolerances, and quality gates for deterministic and non-deterministic software. Builds regression, integration, API, and end-to-end coverage; evaluates LLMs, agents, prompts, and tool-calling workflows; integrates testing into CI/CD; analyzes failures, telemetry, and logs; reduces flaky tests; and partners with AI, engineering, and product teams on continuous quality practices.

Supports multi-cloud lab infrastructure across AWS, Azure, and Google Cloud using Terraform, Ansible, and GitHub Actions. Assists with infrastructure-as-code modules, CI/CD pipelines, security tool evaluations, agentic automation, client POC engagements, technical documentation, and findings reports under mentorship. The part-time remote internship provides hands-on exposure to cloud infrastructure, DevOps, cybersecurity tooling, and AI-driven evaluation environments.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Designs and implements spacecraft attitude determination and control, guidance, navigation, and control architectures in embedded C++. Performs mission-specific analysis, simulation, requirements definition, sensor-calibration and geolocation pipeline development, anomaly resolution, and software- and hardware-in-the-loop testing. The role supports on-orbit systems and collaborates across spacecraft engineering disciplines. Remote work is available from approved states, with export-control eligibility requirements.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Leads multidisciplinary design, analysis, and optimization for unmanned aircraft, missiles, interceptors, and munitions. Integrates aerodynamics, structures, propulsion, GNC, CAD, CFD, FEA, and trajectory models into automated optimization workflows. Owns MDAO tool architecture, validation, documentation, and development pipelines; conducts trade studies, correlates models with test data, supports proposals, presents design reviews, and mentors engineers. Requires experience taking MDAO from conceptual sizing through flight testing and fielded hardware.

Lead and grow the Database Platform team responsible for PostgreSQL, Neo4j, and future data stores supporting NodeZero at scale. Own data architecture, schema governance, reliability, performance, SLOs, migrations, on-call maturity, and multi-tenant data practices. Partner with engineering, security research, and product teams to define data contracts and prioritize the platform roadmap. Hire and mentor engineers while establishing strong operational and engineering standards.

Leads the design and implementation of secure, compliant AWS environments, including GovCloud, multi-account landing zones, networking, containers, infrastructure as code, CI/CD, and hybrid connectivity. Translates an existing GCP platform into AWS while maintaining security-control parity and supporting FedRAMP, NIST, CMMC, and ATO requirements. The role also troubleshoots complex infrastructure issues, develops technical documentation, supports continuous monitoring and remediation, and mentors engineers while collaborating with customers and cross-functional teams.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

Design and build a scalable, responsive UI; lead frontend architecture and optimization; apply UI/UX best practices; integrate with backend APIs; ensure high web performance and deploy user-facing features.

Full Stack Engineer responsible for building responsive frontends (JS/TS, React preferred) and backend services (Python, Go, or Node.js/TypeScript), designing RESTful APIs, managing databases (Postgres/MongoDB), and deploying on cloud (AWS). Collaborate with teams, optimize performance, and apply DevOps practices (Docker, Kubernetes, CI/CD). Requires strong problem-solving, communication, and 3+ years of experience.

Build and evolve Polar’s finance and monetization platform for AI products. Own product development end-to-end across frontend and backend systems, create intuitive developer experiences, ship reliable software quickly, engage with merchants, and translate feedback into product improvements. The role requires strong technical foundations, product judgment, design sensibility, autonomy, engineering quality, and comfort working across the stack. Payments, billing, developer tools, open-source contributions, and side projects are valued.

Build and operate reliable platform systems supporting billing, payments, financial workflows, and usage-based software. Responsibilities include evolving cloud infrastructure, improving observability and incident response, creating developer tooling and automation, optimizing distributed backend systems and databases, and ensuring security, auditability, and financial data correctness. The role requires pragmatic technical judgment, product awareness, end-to-end ownership, and experience operating production systems at scale.

Lead the Technical Marketing Engineering team to shape self-driving networks, creating compelling messages and strategies that accelerate product adoption and influence customer engagement.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

Build and operate secure, scalable multi-cloud infrastructure across AWS, GCP, and networking platforms. Develop self-service tooling, infrastructure-as-code defaults, cloud guardrails, and standardized platform patterns. Lead cross-team infrastructure initiatives, technical investigations, and operational improvements while partnering with security, compute, routing, and other infrastructure teams.

Investigate voice AI campaign and platform issues by analyzing calls, transcripts, logs, configurations, and integration data. Reproduce and document bugs, triage root causes, perform pre-launch and ongoing conversation QA, and develop test plans, regression suites, quality metrics, and automation. Collaborate with engineering, deployment, clinical, and nursing teams to improve agent behavior, workflows, handoffs, scheduling, and outcome capture.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Translate business requirements into technical designs, build and review code, manage complex projects, troubleshoot deployments, and advise customers and internal teams on integration best practices. Collaborate with product, sales, support, and developer ecosystem teams while supporting multiple customer engagements and improving professional services methodologies.

Build and maintain AI-native skills taxonomies, capability models, learning context, instrumentation, and APIs for Databricks employees, customers, and partners. Develop LLM-driven extraction, agentic pipelines, drift and gap detection, and live capability measurement. Partner across content, curriculum, certification, product, and enablement teams to ensure technical skills are consistently defined, assessed, and applied. Use Python, SQL, analysis, and clear writing to advance strategy as an individual contributor.

Own enterprise customer technical cases from triage through resolution, troubleshooting Kubernetes, ECS, Docker, cloud infrastructure, deployments, connectivity, and CI/CD issues. Perform root-cause analysis, lead customer calls, build diagnostic scripts and tooling, contribute small product fixes, and document reusable runbooks. The role also includes occasional customer build engagements and collaboration with Product and Engineering.

Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.

Manages and grows a software engineering team while remaining hands-on in architecture, development, integration, and troubleshooting. Leads cloud-native AWS services, microservices, APIs, Python backend systems, frontend components, secure access controls, CI/CD, and production support for satellite communications ground systems. Collaborates with systems engineering, MBSE, cybersecurity, testing, DevSecOps, and government stakeholders to deliver secure, scalable, traceable, and reliable mission software.

Lead architecture and hands-on implementation for Akamai’s cloud compute platform, including virtualization, hypervisors, operating systems, containers, and Kubernetes infrastructure. Own system design, build proof of concepts, guide engineering teams, influence product direction and roadmaps, establish best practices, and mentor engineers while delivering highly available, fault-tolerant distributed services.