Top Remote Python Jobs in San Diego, CA

Design, build, and operate secure, highly available AWS infrastructure using IaC. Own cloud networking, container platforms, CI/CD, observability, incident response, runbooks, and SIEM integrations. Optimize performance, cost, and reliability, and support customer RFPs on network and infrastructure.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Design and build secure, scalable cloud-native, AI-enabled applications and microservices for utilities. Lead architecture, translate requirements, develop APIs and data-driven solutions, mentor engineers, and ensure software quality and delivery.

Design, configure, and administer the Splunk observability platform for enterprise-scale log and event ingestion. Optimize pipelines for performance, cost, and retention; integrate Splunk with cloud platforms (AWS, Azure, Kubernetes), CI/CD and deployment tools (Puppet, Ansible), and enterprise systems (ServiceNow, PagerDuty). Implement automation using Python/Bash, manage Splunk apps/roles, and support observability and APM initiatives while collaborating within SAFe using Jira and Confluence.

Lead architecture and evolution of enterprise observability platforms (APM, infrastructure monitoring, session replay, log analytics). Define integration patterns, telemetry standards, and governance. Partner with Engineering, SRE, Product, and Infrastructure to embed observability best practices, evaluate new technologies (OpenTelemetry, distributed tracing, AI-driven observability), drive platform standardization, and manage vendor relationships to improve MTTD/MTTR and system reliability.

Operate and improve platform tooling to enable reliable deployments and incident response. Perform Kubernetes operations, maintain CI/CD pipelines, manage observability (Prometheus/Thanos/OpenTelemetry), update self-service workflows and documentation, participate in on-call rotation, and automate housekeeping tasks for cost and performance.

Deploy, maintain, and automate application infrastructure on GCP using Kubernetes, Docker, Helm, ArgoCD, and Terraform. Build automation pipelines, support and troubleshoot in-house and third-party apps, document processes, and participate in on-call rotation.

Lead design, implementation, and operation of scalable, secure hybrid-cloud infrastructure for satellite ground systems. Improve developer experience, automate CI/CD and IaC, own observability, troubleshoot reliability issues, and collaborate with developers and satellite operators to advance SatDevOps practices.

Own design, development, and release of Canary's staff and guest mobile apps on iOS or Android. Ship high-quality UI, ensure reliability, accessibility, and performance. Collaborate with Product, Design, Backend, and Platform teams to define contracts, observability, release processes, testing, and on-call readiness. Mentor engineers and improve CI/CD and crash monitoring.

Own and scale AWS infrastructure using Terraform; design CI/CD and GitOps pipelines on Kubernetes (Helm, ArgoCD); manage service mesh (Istio), observability, security, capacity planning, cost optimization, and incident response; mentor engineers and document runbooks.

Build end-to-end user features under senior guidance: implement REST endpoints in Node.js/TypeScript, microservices in Python, maintain PostgreSQL schemas, process background jobs with QStash/Upstash, deploy to Cloudflare Workers/Pages/R2, write tests, and collaborate with product/design on React UI components.

Build and maintain end-to-end features across backend (Node.js/TypeScript, Python) and frontend (React/TypeScript). Model Postgres schemas, integrate queues (QStash/Upstash), deploy on Cloudflare edge, write tests, enforce CI/CD, and harden systems for security and performance in regulated environments.

Design, develop, and integrate software, APIs, and automation to improve test platform efficiency. Build CI/CD pipelines, data pipelines, dashboards, and integrations with third-party diagnostic/test tools. Collaborate with test engineers, operations, and vendors to reduce manual work, increase throughput, and provide visibility into test metrics. Support troubleshooting, documentation, and global standardization of integration frameworks.

Build and ship end-to-end product features, debug and resolve production issues, partner with Product on UX and direction, use AI heavily for development and prototyping, and iterate quickly across the stack to improve quality and speed.

Lead technical execution across backend, frontend, mobile, AI, and data. Translate ambiguous product goals into technical plans, unblock hard engineering problems, coordinate cross-domain work, raise engineering quality, define hiring needs and technical evaluation standards, and build internal AI workflows to foster an AI-native engineering culture.

Build and maintain the AI-powered learning platform across a TypeScript/React frontend and Python/FastAPI backend. Integrate LLMs for classification, extraction, personalization, and conversation practice. Design scalable APIs, develop real-time interactive features, apply AI-assisted development workflows, write well-tested code, and collaborate with product, design, and education teams to optimize learning experiences and A/B tests.

The Senior IT Engineer will design a cloud-based IT environment, enhance security practices, implement automation, lead projects, and mentor team members.

Build and operate Abnormal AI's cell-based cloud infrastructure: bootstrap cells, provision multi-cloud (AWS/Azure) resources, deploy application stacks, automate lifecycle tooling, triage cross-layer incidents, reduce toil via automation, participate in on-call, and collaborate with product and application teams for scalable, secure, cost-efficient deployments.

The Technical Implementation Specialist integrates telephony audio and CAD systems, troubleshoots issues, and supports AI-enabled public safety systems. They coordinate with customers and vendors, and travel for installations or tests. They require 4+ years in IT or telecommunications and strong networking skills.

The Senior Manager, Software Development will lead engineering teams to build and support a SaaS platform, focusing on performance, scalability, and AI integration while ensuring timely delivery and continuous improvement through metrics and agile practices.

Sola seeks a Software Engineer for Desktop Automation to own and enhance their execution platform, focusing on reliability and integrating with AI pipelines.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

The Executive Director will lead global DevSecOps teams, ensuring security and efficient infrastructure operations while driving strategy, collaboration, and compliance efforts.

As a Software Engineer, you'll design and develop microservices using a cloud-native tech stack, with a focus on financial services and secure systems.

Design, implement, and operate scalable cloud infrastructure and IaC (Terraform, ARM/Bicep). Build CI/CD pipelines, automate deployments, secure Azure/Kubernetes environments, troubleshoot production issues, and collaborate with Engineering, Security, and Compliance to improve platform resiliency and operational maturity.