Top Remote Python Jobs in San Diego, CA

Develop, test, deploy, and maintain RPA solutions using Microsoft Power Automate Desktop, with emphasis on Finance workflows. Identify automation opportunities, design reusable components, integrate Microsoft and third-party systems, document processes, troubleshoot exceptions, train stakeholders, and support governance, security, and compliance standards.

Leads technical direction and cross-team delivery of scalable software capabilities for a digital banking platform. Designs secure APIs, microservices, integrations, data contracts, and reliable full-stack systems. Partners across product, design, security, architecture, data, and engineering; mentors engineers; leads incident response; improves testing, CI/CD, developer tooling, and operational readiness. The role requires hands-on coding, architecture leadership, dependency management, and influence without direct people management.

Build and lead a scalable platform engineering function spanning CI/CD, infrastructure, observability, developer tooling, environments, and production operations. Develop internal tools, reusable automation, paved roads, and AI-assisted workflows that improve developer experience, delivery reliability, and engineering productivity. Partner across teams, guide architecture and standards, measure DORA and DX metrics, and shape the platform roadmap while providing hands-on technical leadership.

Develop and maintain enterprise automation solutions using Ansible, Python, Bash, and PowerShell. Build RESTful APIs, Infrastructure as Code, CI/CD pipelines, and automated testing frameworks across Linux, Windows, and cloud platforms. Manage the full automation software lifecycle, integrate enterprise systems, support production environments, document solutions, and collaborate with infrastructure, security, and service teams in Agile environments.

Build and operate full-stack features across database, API, and front-end layers using Ruby on Rails. Own complex problems end to end, modernize legacy systems, design durable APIs, improve reliability and developer productivity, and participate in production support. Collaborate with product and engineering teams, document technical decisions, mentor peers, and contribute to architecture, code reviews, and on-call operations. The role also involves using modern developer tooling and working on scalable fleet and service-management software.

Build and operate core platform systems for users, workspaces, permissions, APIs, authentication, and resource management. Deliver full-stack features with a backend focus, including admin and settings interfaces. Scope work within large existing systems, plan migrations, manage safe rollouts, debug production issues, and collaborate across product and engineering teams. Candidates need strong Python and backend development expertise, software and system design knowledge, testing and security fundamentals, and the ability to navigate ambiguity.

Build and maintain payments infrastructure, including usage tracking, pricing, billing, payment providers, and stream-processing services. Collaborate with Finance, Tax, Growth, Sales, and engineering teams to support compliance, reporting, experiments, and customer payments. Plan migrations, debug complex production billing issues, and safely evolve live systems handling money. Requires Python expertise, backend development experience, software and system design knowledge, testing and security fundamentals, and strong problem-solving ability.

Build and own end-to-end technical solutions for strategic customers, including architectures, product features, and full-scale integrations. Collaborate with customer engineers and executives, apply Python and software development expertise to solve complex problems, and communicate technical concepts clearly. The role is remote-first in the United States with regular travel to customer onsite engagements.

Owns VM and fleet test strategy, performance quality gates, and hypervisor validation for an IaaS platform. Designs reproducible bare-metal-like test environments, develops automated performance benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses and analysis pipelines in Go, Python, and Perl. The role requires deep expertise in virtualization, Linux systems, performance engineering, statistical analysis, and cross-architecture debugging.

Operate and maintain a disconnected C3 AI Platform deployment at a secure government facility. Responsibilities include monitoring system health, responding to incidents, troubleshooting Linux and Kubernetes environments, performing offline upgrades and patches, automating operations, creating runbooks, supporting customer applications, and translating customer needs into technical enhancements. The role requires customer-facing communication, on-site work, U.S. citizenship, and an active Secret clearance.

Build and operate internal infrastructure solutions for engineering teams. Responsibilities include resolving infrastructure requests, executing cloud workload and storage migrations, developing Terraform modules, Helm charts, CLIs, and automation in Go or Python, documenting runbooks, and creating observability dashboards for cost, capacity, and usage. The role requires production Kubernetes and public cloud experience, infrastructure-as-code and GitOps expertise, and cross-functional project delivery.

Design, analyze, manufacture, assemble, and test liquid rocket engine hardware from component concepts through flight maturity. Responsibilities include fluid-system modeling, P&ID and CAD development, engine sizing and cycle analysis, test-plan execution, hot-fire data analysis, supplier coordination, lifecycle ownership of engine assemblies, and mentoring engineers.

Leads platform engineering across learner and enterprise products, setting architecture direction, integrating AI and data capabilities, managing engineering managers and teams, and improving quality, reliability, security, accessibility, and delivery. Partners with product, design, IT, cloud operations, sales, and executives on strategy, planning, budgets, and enterprise SaaS outcomes.

The Software Engineer will build and own features for the AI-driven matching and screening platform, focusing on data structuring and full-stack development. Collaboration with users and maintaining high quality through testing is essential.

The role involves embedding with client teams to build AI features, manage integrations, and ensure project deliveries are met. Candidates must have extensive production software experience and be comfortable working hands-on with clients.

Own the architecture and technical direction of NodeZero’s database platform. Design scalable PostgreSQL systems, multi-tenant data models, graph-based asset models, partitioning, replication, and zero-downtime schema migrations. Establish database standards, governance, and performance practices while writing production code, authoring design documents, mentoring engineers, and influencing teams across the data pipeline.

Design, test, document, and deploy geospatial software solutions for defense and intelligence imagery. Integrate analytical toolkits with ArcGIS, define user requirements, lead lab testing and automated QA efforts, and collaborate on software releases. The role applies remote sensing, photogrammetry, image processing, and AI while mentoring colleagues and managing project dependencies.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Designs, automates, and optimizes mission-critical PostgreSQL, Oracle, MySQL, and DynamoDB platforms. Builds infrastructure as code, CI/CD pipelines, automated failovers, database tooling, and Kafka-based change data capture and replication frameworks. Partners with systems engineers, developers, and architects to deliver resilient, high-performance, event-driven data infrastructure. Maintains monitoring, alerting, security, access controls, query optimization, and real-time data availability across AWS environments.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Supports semiconductor wafer fabrication process integration by troubleshooting yield and performance issues, investigating root causes, assisting tool qualification and validation, performing failure analysis, monitoring SPC charts, analyzing MES data, coordinating production lots, and contributing to continuous process improvement.

Architect, build, and scale Parade’s foundational platform infrastructure supporting high-volume logistics transactions and AI systems. Own Kubernetes, cloud, Terraform, CI/CD, observability, networking, security, and distributed asynchronous workloads. Partner with engineering, product, and data teams to improve reliability, scalability, automation, and developer velocity across a fully remote organization.

Designs, deploys, and maintains scalable, secure AWS infrastructure for customer projects, including migrations, landing zones, containerized applications, serverless systems, and infrastructure as code. Builds CI/CD automation, monitoring, logging, disaster recovery, and security controls; optimizes cost and performance; troubleshoots Linux, Windows, Kubernetes, and AWS environments; documents solutions; and communicates with clients and cross-functional teams throughout delivery engagements.

Designs, secures, operates, and scales AWS infrastructure and container platforms. Administers Linux, Windows Server, Nutanix, Rancher, ECS Anywhere, SMTP relays, and SSL/TLS certificates. Builds infrastructure as code and automation using CloudFormation, Python, PowerShell, Bash, and AWS Systems Manager. Maintains monitoring, alerting, reliability, and compliance support for HITRUST and SOC 2. Participates in on-call support and works independently across cloud engineering, systems administration, and business priorities.