Top Remote Python Jobs in San Diego, CA

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.

Designs and maintains large-scale production infrastructure across Linux, Windows, VMware, OpenStack, Docker, and Kubernetes environments. The role administers bare-metal servers and virtual machines, develops automation using Python, Go, and PowerShell, troubleshoots hardware and virtualization issues, and supports incident response through an on-call rotation. Responsibilities also include technical architecture, networking, configuration management, documentation, post-mortems, and applying AI tools to improve operational workflows.

Design and scale automated test frameworks for Akamai’s custom Linux kernel, hardware compatibility, performance, reliability, security, and OS imaging. Develop hardware validation suites, support kernel and virtualization upgrades, troubleshoot low-level system issues, and improve continuous integration and testing infrastructure across AI and compute platforms.

Develop and maintain Akamai’s custom Linux kernel and distribution for a globally distributed cloud platform. Responsibilities include adding performance, reliability, and security features; porting modifications to newer kernels; debugging production and test issues; improving build and continuous-testing automation; collaborating with platform, application, test, and hardware teams; and contributing work upstream to the open-source Linux community.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Build and maintain cloud-native applications and services for Akamai’s IaaS platform. Develop platform features from requirements through design, testing, and deployment; integrate Kubernetes and cloud-native technologies; collaborate with product owners, architects, developers, and test engineers in an Agile continuous-delivery environment. The role focuses on creating scalable, reliable, secure platforms that simplify product development and user experience.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

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 launch backend identity decisioning systems that validate consumer identity and satisfy KYC regulations. Collaborate with Product, Compliance, Auth, Fraud, Analytics, and engineering teams; decompose projects, write tested and extensible code, monitor system metrics, support availability and on-call operations, debug code, participate in reviews, and contribute to technical decisions and team development.

Leads end-to-end software development for AI-infused enterprise applications, including architecture, database design, coding, testing, deployment, and service reliability. Builds Copilot and agentic solutions using Azure and modern full-stack technologies. Provides technical leadership, mentors engineers, establishes quality and security practices, supports enterprise integrations, and collaborates with product teams, program managers, UX designers, and data scientists to deliver scalable commercial software.

Leads architecture, technical strategy, and roadmap for Windows ML compiler infrastructure, execution runtimes, hardware acceleration, and developer tooling. Drives AI workload optimization across CPUs, GPUs, and NPUs; partners with hardware vendors and internal platform teams; solves complex systems challenges involving scheduling, memory management, code generation, graph optimization, and hardware abstraction. Provides technical leadership and mentorship while shaping on-device and generative AI execution strategy.

Lead complex, cross-team software initiatives from design through rollout; architect backend services, improve reliability and observability, guide technical strategy, mentor engineers, and elevate engineering quality. The role emphasizes AI-assisted coding, agentic development workflows, automated guardrails, testing, incident response, and solving ambiguous technical problems across consumer applications and internal tools.

Develop and deploy cloud-native applications in Azure using Python, contribute to architecture and design, enhance existing software, conduct testing and code reviews, support CI/CD and DevOps practices, troubleshoot production issues, and collaborate with stakeholders. The role also involves defining technical solutions, evaluating scalability and performance trade-offs, partnering with solution architects, participating in on-call support, and mentoring junior software engineers.

Participate in a mentored technical art project supporting AAA game development. Build and refine tools and scripts, troubleshoot pipelines and DCC-to-engine integration, optimize character assets, automate production workflows, document fixes, and collaborate with technical artists using Unreal Engine, Maya, and Python.

Leads the design, implementation, and optimization of enterprise infrastructure, cloud services, identity, endpoint management, and monitoring systems. Drives automation, security hardening, incident response, root-cause analysis, migrations, disaster recovery, and operational improvements. Mentors junior administrators, maintains technical documentation, manages vendor escalations, and supports cross-functional technology initiatives. Requires strong infrastructure, cloud, security, troubleshooting, scripting, observability, and IT service management expertise.

Own the networking architecture and roadmap for AKS Flex and Unbounded, enabling secure, reliable, high-performance Kubernetes connectivity across sites, clouds, edge environments, and on-premises infrastructure. Design overlay and underlay networks, routing, encrypted tunnels, eBPF dataplanes, and distributed systems for high-latency and partitioned environments. Integrate InfiniBand and RDMA for AI workloads, lead cross-team architecture efforts, improve global fleet performance and reliability, and participate in production operations and on-call rotations.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Design, develop, and operate scalable software platforms and automation for Azure network qualification infrastructure. Build tools for device provisioning, configuration, lifecycle management, testing, telemetry, and health validation. Develop AI-powered agents for troubleshooting, root-cause analysis, and engineering productivity. Create reliable distributed systems with observability, diagnostics, automated recovery, and scalability while collaborating across software and network engineering teams.

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Own and evolve the platform supporting product engineering teams, including reliability, observability, test infrastructure, developer experience, infrastructure strategy, cost management, compliance controls, and platform on-call. Lead AWS, EKS, Terraform, CI/CD, and multi-account platform improvements while defining the roadmap and partnering with engineering teams and infrastructure vendors.

Design, build, deploy, and maintain full-stack applications spanning frontend interfaces, backend services, APIs, databases, integrations, and cloud infrastructure. Own complex systems, improve reliability and technical debt, make architectural decisions, mentor engineers, and contribute to code reviews and engineering practices. Evaluate AI-assisted development opportunities and collaborate with product teams, stakeholders, and customers to deliver secure, maintainable software capabilities.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Designs and manages multi-cloud infrastructure across GCP, AWS, and Azure using Terraform and Kubernetes. Provides hands-on developer support, troubleshoots infrastructure and cluster issues, and maintains highly available systems. Responsibilities include networking, container orchestration, monitoring, logging, CI/CD automation, documentation, security collaboration, and on-call participation.