Top Remote Python Jobs in San Diego, CA

Design, build, and operate highly available, high-throughput backend services for Twilio SendGrid. Modernize Go-based microservices, manage dual-cloud AWS/Azure infrastructure with Terraform, improve observability and reliability, mentor engineers, and balance feature delivery with platform refactoring.

Design, develop, and scale mission-critical backend applications and distributed services. Build Python and Celery services, FastMCP services, Docker Swarm environments, and horizontally scalable architectures. Optimize Couchbase and NoSQL data systems, troubleshoot Linux-based distributed environments, and apply cloud-native AWS practices. Collaborate cross-functionally to deliver secure, reliable solutions while using spec-driven development and AI coding tools.

Develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product teams, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security and privacy practices, and root-cause analysis. Use approved AI-assisted development tools responsibly across coding, testing, debugging, documentation, and delivery while maintaining accountability for software quality, reliability, performance, and maintainability.

Build backend services, APIs, data workflows, AI-enabled applications, coding agents, and secure DevSecOps pipelines for government and defense customers. Establish controlled AI development environments, automated quality and security testing, compliance evidence, software supply-chain protections, and Platform One-compatible deployment workflows. Modernize legacy applications and collaborate with software, platform, cybersecurity, and mission teams to transition R&D prototypes into secure operational capabilities.

Build and maintain full-stack applications that deliver AI/ML insights through backend services, REST APIs, containerized microservices, and high-performance front-end interfaces. Responsibilities include cloud-native development on Google Cloud or Azure, database management, testing, CI/CD automation, security, troubleshooting, and Agile collaboration.

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

Develop and implement digital pre-distortion algorithms and production software for radio hardware. Model nonlinear power amplifier behavior, select DPD engines, collaborate with hardware design teams on DFE, AFE, and feedback paths, troubleshoot radio performance, and test hardware robustness. The role requires advanced DSP, nonlinear system modeling, RF expertise, FPGA or ASIC experience, programming in Matlab, Python, and C++, and at least three years of relevant industry experience.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Create and maintain developer documentation, tutorials, API references, troubleshooting guides, and runnable examples for LanceDB. Build documentation designed for both developers and AI agents, validate AI-generated content, maintain documentation tooling, automate code and link checks, and collaborate with engineering, product, and open-source communities. The role requires strong Python skills, database and data workflow knowledge, technical writing expertise, and experience with Git-based development workflows.

Provides L2 technical support for a B2B SaaS platform by investigating escalated issues, reproducing problems, shipping bug fixes, and supporting L1 representatives. The role partners with Engineering, Product, Customer Success, and senior engineers, identifies recurring issues, improves visibility through metrics, documents findings, and writes knowledge-base content. The position works remotely on a 3 PM–11 PM ET weekday shift with alternating Saturday on-call coverage.

Design and develop physical layouts for silicon interposers used in NVIDIA products. Collaborate with package technical leads, signal integrity and technology engineers, and design teams to deliver package solutions. Conduct feasibility studies, floorplanning, custom layout, design-rule and netlist verification, and layout trade-off analysis. Resolve manufacturing, electrical, cost, and scheduling issues while using Cadence tools and verification flows such as DRC and LVS.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

Designs and manages DevOps processes, automation, CI/CD pipelines, cloud environments, containerized infrastructure, observability, and release systems. Partners with development, QA, DataOps, architecture, support, and operations teams to improve reliability, security, scalability, and performance. Responsibilities include infrastructure provisioning, monitoring, troubleshooting, root-cause analysis, technical documentation, tool evaluation, production support, and continuous improvement.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Own end-to-end full-stack product features using TypeScript, Node.js, React, Python, Kafka, and distributed systems. Design data models, backend services, event pipelines, interfaces, auditability, security controls, and AI agent experiences for a regulated fintech product. Operate production systems, collaborate with AI engineers, and help establish engineering practices on a small remote team.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Build and deploy secure business automations and integrations across SaaS tools, internal systems, and APIs. Partner with stakeholders to identify high-impact workflow improvements, apply AI and agentic patterns where appropriate, and establish scalable engineering practices for documentation, testing, access controls, secrets management, logging, and maintenance. The role also helps shape automation infrastructure and team standards while collaborating with security and IT leadership.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, reliability engineering, incident response, and automated repair. The role works across hardware, networking, Linux, Kubernetes, data center operations, and partner teams to safely bring GPU capacity into production.

Manage BizTech production operations, including ticket queues, incident response, on-call troubleshooting, observability dashboards, and service-health reporting. Build automation and self-healing workflows using Python, Go, JavaScript, TypeScript, Bash, infrastructure-as-code, CI/CD, and AI-assisted tools. Develop LLM-powered triage, diagnostics, runbooks, and root-cause analysis to reduce recurring tickets and improve mean time to resolution. Partner with global stakeholders and support enterprise systems, data pipelines, monitoring, and identity integrations.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Own Cresta’s web platform, CMS architecture, component system, analytics and GTM integrations, localization, SEO/AEO implementation, and engineering practices. Build tooling that enables marketers to work independently and develop, deploy, evaluate, and optimize AI agents for marketing use cases. Partner with brand, design, marketing operations, product, and engineering teams while providing technical leadership and owning projects end to end.

Early-career Software Engineer developing and maintaining Windows desktop fluid-flow simulation applications. Responsibilities span user interfaces, application logic, data models, integrations, testing, debugging, build automation, CI/CD, and modernization. The role involves collaboration with engineering, QA, product, and domain experts while contributing clean, maintainable code and participating in reviews, bug triage, and build pipeline rotations.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Principal Engineer responsible for owning complex software initiatives from problem framing through architecture, implementation, deployment, production support, and continuous improvement. The role involves building web applications, services, APIs, MCP servers, data pipelines, and platform integrations; leading architecture and code reviews; improving security, reliability, and maintainability; mentoring engineers; and shaping technical strategy. The engineer will also use and improve AI-assisted development practices while maintaining human accountability for quality and operational outcomes.

Own backend and product delivery from scoping through production. Design customer-facing backend services, AI agent capabilities, APIs, data models, and system architecture for large unstructured datasets. Lead high-impact technical initiatives independently, maintain engineering quality, shape product direction with founders, and translate customer needs into dependable software. The role requires advanced Python, production-scale backend experience, system design expertise, and a product-minded approach.