Top Remote Python Jobs in San Diego, CA

Deploys and operates secure, scalable AWS cloud platforms across federal environments, including FedRAMP and classified workloads. Builds Kubernetes infrastructure, Terraform modules, Crossplane compositions, CI/CD workflows, automation, telemetry, documentation, and developer tooling. Evaluates technologies, improves deployment processes, manages concurrent initiatives, and supports platform reliability. Requires Go, AWS, Kubernetes, infrastructure-as-code, and federal security knowledge, along with U.S. citizenship and the ability to obtain and maintain a Top Secret clearance.

Combines wastewater process engineering with AI, machine learning, process modeling, digital twins, and optimization. Responsibilities include analyzing treatment data, developing biological and chemical process models, evaluating and troubleshooting facilities, conducting experiments, testing technologies, and implementing predictive or optimization solutions. The engineer collaborates with multidisciplinary project teams and utility clients to improve treatment performance, reliability, energy use, and operational decision-making. Python programming and wastewater modeling platforms are preferred, along with wastewater treatment, nutrient removal, data science, and technical communication expertise.

Designs and builds scalable applications using React and Python, contributing to component development, data storage, deployment practices, performance optimization, testing, and client requirements analysis. The role collaborates with technical leaders, clients, and distributed teams in agile environments, using Git, code reviews, cloud platforms, databases, and AI-native development practices. U.S.-based travel to client sites is required.

Designs, implements, supports, and improves enterprise Azure, hybrid, on-premises, and network security environments. Owns complex routing, switching, firewall, SD-WAN, cloud connectivity, and automation solutions. Provides L3 escalation support, incident triage, root cause analysis, client advisory, documentation, and technical leadership across managed services environments. Mentors engineers, improves standards and monitoring, supports migrations, and automates deployments using infrastructure-as-code and scripting tools.

Implement, support, and troubleshoot ServiceNow Discovery across enterprise environments. Manage MID Servers, Discovery Patterns, Sensors, IRE, CMDB Health, credentials, performance, and cloud resource discovery across AWS, Azure, and GCP. Develop Python automation and use AI-assisted development tools. Support ServiceNow solutions hosted primarily on AWS, participate in live technical interviews, maintain a ServiceNow PDI, and complete background, employment, and certification verification.

Design, develop, and maintain scalable web services for a B2B SaaS application. Write tested code primarily in Go, manage PostgreSQL schemas and queries, and research AI-powered tools for software development and CI/CD optimization. Collaborate with product, design, and engineering teams to deliver user-focused solutions. Mentor engineers, promote best practices, and contribute to technical excellence.

Design, develop, and maintain automated tests for functional, regression, integration, and performance testing. Build test automation frameworks, integrate tests into CI/CD pipelines, analyze results, document defects, and collaborate with development and cross-functional teams to improve product quality and testing processes.

Leads the design, automation, deployment, and optimization of secure hybrid and multi-cloud infrastructures across AWS, Azure, and GCP. Develops Terraform modules and CI/CD pipelines, executes cloud migrations, implements networking and security best practices, troubleshoots infrastructure, and creates documentation. The role also mentors engineers, guides clients through modernization programs, and supports scalable, resilient, and cost-optimized enterprise environments.

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

Perform load, stress, and endurance testing across e-commerce storefronts, internal SaaS tools, and AI agent services. Design test strategies, execute tests with tools like JMeter/Gatling, analyze observability metrics, identify bottlenecks in Node.js/NestJS, PostgreSQL, and Redis, and integrate performance tests into CI/CD while collaborating with SRE and backend teams.

Provides advanced technical support for robotic systems during commissioning and 24/7 customer operations. Diagnoses hardware, software, controls, Linux, network, and automation failures; analyzes logs and telemetry; develops integrations and support workflows; leads major incidents; coordinates engineering, field service, and customer teams; manages cases and corrective actions; validates AI-assisted diagnostics; and mentors engineers while improving system reliability and recovery times.

Lead architecture and development for AKS Flex, scaling etcd and Kubernetes control planes for distributed node fleets. Design remote-node provisioning, lifecycle automation, Kubernetes-native APIs, secure bootstrap, upgrades, and reliability systems across Azure, on-premises, edge, and other clouds. Drive performance testing, production operations, open-source collaboration, technical strategy, cross-team alignment, and mentorship while solving distributed-systems, storage, security, and scalability challenges.

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Develop and enhance cross-platform applications using Java, Python, or Node.js; build APIs; work with cloud and container orchestration platforms; query databases; conduct testing and debugging; review code; define technical specifications; support SDLC transitions; evaluate vendor products; and maintain IT controls and audit compliance.

As a Sr. Flight Guidance Engineer, you will design, implement, and test guidance systems for uncrewed aircraft, collaborating with operations and pilot teams.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Build and operate AWS infrastructure for Windows and IIS applications using Terraform, CI/CD pipelines, and automation. Migrate on-premises workloads to AWS, troubleshoot application and infrastructure issues, implement monitoring and security hardening, automate patching and credential or certificate rotation, and support ECS containerization. Collaborate with application, development, and security teams while reviewing infrastructure code and maintaining production services. Occasional after-hours maintenance or outage support is required.

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.