Top Remote Python Jobs in San Diego, CA

Designs and improves build and delivery infrastructure, including CI/CD pipelines, automation, Kubernetes platforms, and cloud-native tooling. Enables development teams, resolves delivery blockers, implements product features, contributes to architecture and platform roadmaps, documents standards, and estimates and reports on assigned initiatives. The role requires Kubernetes, AWS, Linux, scripting, Golang or Python, software architecture, and Agile experience in a regulated healthcare environment.

Leads architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drives innovations in scalability, performance, security, durability, and efficiency; collaborates with AI and cloud infrastructure teams; mentors engineers; and evaluates emerging technologies for AI-native storage.

Develop and maintain ImmPort backend services, data integration pipelines, and operational systems supporting NIH. Responsibilities include software development with Python, Bash, Java, and Spring; database operations across relational and NoSQL platforms; deployments, release management, incident response, troubleshooting, security, CI/CD, and performance optimization. Collaborate with NIH stakeholders, document architecture, support production operations, attend on-site meetings, and maintain required NIH badge access.

Support environmental and laboratory testing of sensor systems: create qualification test procedures/reports to MIL-STD/RTCA standards, perform test setups, develop/maintain automated test software (LabVIEW/Python), integrate lab equipment, coordinate with program managers, customers, and cross-functional teams, and occasionally travel to external test labs.

Develop and maintain automated test scripts, execute manual and automated testing, analyze results, identify and track defects, and perform regression testing. Collaborate with developers and distributed teams throughout the software development lifecycle to ensure application quality and testability. The role also involves using and validating approved AI-assisted tools for coding, testing, debugging, documentation, and technical research.

Designs and implements manual and automated tests across unit, component, integration, and end-to-end levels. Builds scalable UI and API automation frameworks, conducts performance and load testing, creates test reports, investigates regressions, and provides testability feedback. Collaborates with engineering, product management, and UX teams in an agile environment. The role requires Python and JavaScript automation expertise, cloud and container experience, CI/CD familiarity, SQL, and knowledge of microservices.

Leads architecture, reliability, and automation for cloud network foundations across AWS, GCP, Azure, and internal infrastructure. Designs routing, segmentation, firewalls, connectivity, access, and infrastructure-as-code systems; establishes SLOs, monitoring, incident response, and recovery practices. Builds reusable automation, improves change safety, partners across platform, security, IT, and engineering teams, serves as a senior escalation point, creates operational standards, and mentors engineers.

Designs and delivers scalable, resilient, cloud-native infrastructure services for Azure Virtual Machine Scale Sets. Responsibilities include gathering requirements, creating design documents, writing maintainable code, estimating work, monitoring services, responding to incidents, and improving availability, reliability, observability, efficiency, and performance at hyperscale.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Administer and optimize enterprise Windows and Linux infrastructure, virtualization, cloud platforms, networks, storage, security, endpoints, identity systems, and disaster recovery. Monitor performance, resolve infrastructure issues, maintain compliance controls, document systems, support technical escalations, and lead upgrades, migrations, and deployments. The role requires independent management of complex environments and strong communication with technical and non-technical stakeholders.

Own full-stack features for Techstars OS from data ingestion and APIs through React interfaces and production delivery. Build AI-native search, retrieval, and assistive workflows using founder and portfolio data. Lead migration and retirement of legacy tools, develop data pipelines, improve testing and CI/CD, and provide architectural guidance. The role requires strong autonomy, written communication, and end-to-end ownership across cloud infrastructure and product development.

Build and operate large-scale data acquisition systems, including web crawlers, distributed processing platforms, backend services, data pipelines, and asynchronous workloads. Improve ingestion reliability, scalability, observability, fault tolerance, and data quality. Collaborate with data product and engineering teams to develop data products, design schemas and pipelines, and deliver resilient systems in a remote-first environment.

Lead architecture for cloud-networking and design system architectures for DPUs and NICs. Build end-to-end solutions from application to hardware, write architecture specifications, evaluate new technologies, develop POCs, and collaborate globally with SW/HW teams and customers.

Administer and optimize ArcGIS Enterprise environments, including geospatial services, datasets, upgrades, monitoring, performance tuning, automation, and cloud modernization. The role supports ArcGIS Enterprise on Amazon EKS, automates service publication and data workflows, conducts load testing and capacity planning, troubleshoots platform issues, and maintains technical and change-management documentation in a federal government environment.

Develop and execute comprehensive tests for GIS applications, ArcGIS tools, geospatial workflows, automated validation processes, and web mapping applications. Validate spatial data, geodatabase attributes, Real Property records, business rules, reports, dashboards, and integrations using SQL and scripting. Document defects, investigate root causes, verify fixes, and collaborate with GIS specialists, developers, and analysts. The role requires Esri GIS, Army Real Property and IGI&S knowledge, automated testing experience, and CAC eligibility.

Design, commission, operate, troubleshoot, and improve industrial automation and control systems for Hertha Metals’ ironmaking process. Responsibilities include PLC and HMI programming, control strategy development, FAT/SAT, plant commissioning, loop tuning, alarm and historian management, root cause analysis, safety reviews, and on-site operational support. The engineer will collaborate with process, mechanical, electrical, operations, maintenance, vendors, and system integrators during plant scale-up and future facility expansions.

Supports the design, installation, commissioning, operation, troubleshooting, and continuous improvement of industrial instrumentation, control, and electrical systems for a steelmaking plant. Responsibilities include developing engineering documentation, supporting start-ups and maintenance programs, conducting root cause analyses, ensuring code and safety compliance, participating in HAZOPs and safety reviews, and collaborating with operations, contractors, vendors, and engineering teams during plant scale-up.

Administer and optimize Oracle databases across AWS RDS GovCloud and on-premises environments. Responsibilities include upgrades, patching, backup and recovery, performance monitoring, SQL and PL/SQL troubleshooting, database security, Linux and Windows administration, RMF and DISA STIG compliance, audit evidence, vulnerability remediation, release support, and technical documentation. The role requires customer communication, independent problem-solving, and occasional after-hours support and travel.

Lead end-to-end technical ownership for an e-commerce platform service area. Design, build, and ship production features; modernize legacy systems; establish architecture and engineering standards; optimize platform performance; plan roadmaps and sprint priorities; mentor engineers; improve developer productivity; and contribute to hiring. The role requires hands-on TypeScript, JavaScript, React, Node.js, AWS, Python, and Django experience in a remote United States or Canada environment.

Build and maintain backend product features using Python, Django, and relational databases. Develop APIs, asynchronous jobs, integrations, internal tools, and data-processing workflows while using and critically reviewing AI-generated code. Investigate incidents, resolve customer-impacting issues, improve reliability and database performance, and protect data integrity, security, tenant isolation, and auditability. Own work through testing, deployment verification, documentation, and follow-up while collaborating closely on a small engineering team.

Develop and improve LLVM/Clang-based compiler infrastructure for Arm microcontrollers and proprietary DSPs. Collaborate with application, architecture, design, and engineering teams to enhance compiler performance and support architectural improvements. Work under mentorship while applying software development, debugging, performance analysis, testing, compiler design, and computer architecture knowledge.

Owns enterprise source control and release engineering strategy, consolidating Git platforms and standardizing secure CI/CD workflows. Administers GitLab and GitHub, builds pipelines, and operates shared container registry, object storage, and secrets-management services. Develops infrastructure as code with Terraform or CloudFormation and automation using Python, PowerShell, and Bash. Supports Docker and Kubernetes workflows, security scanning, observability, compliance, documentation, and cross-functional platform governance.

Senior Full Stack Engineer responsible for taking over an existing software project, completing unfinished features, resolving bugs, improving frontend and backend systems, integrating APIs and databases, refactoring for reliability and scalability, and preparing the application for production. The role requires independent ownership, strong debugging and software development skills, collaboration with stakeholders, automated testing, deployment workflows, and clear technical documentation.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Senior Python Developer responsible for taking ownership of an existing software project, understanding its architecture, completing unfinished features, resolving bugs, reducing technical debt, improving performance and reliability, expanding test coverage, and preparing the application for production release. The role requires independent decision-making, collaboration with stakeholders, API and database integration experience, and strong software engineering practices.