Top Remote Python Jobs in San Diego, CA

Leads software teams developing, integrating, deploying, and enhancing full-stack mission applications for DoD and intelligence customers. Builds prototypes, scales applications, develops responsive interfaces, integrates APIs, collaborates with military and government users, and performs deployment and field testing in secure operational environments. The role combines hands-on software engineering, customer engagement, technical leadership, and mission-focused product delivery.

Lead FleetDM migration and engineer shared endpoint platform capabilities across Windows, macOS, and Linux. Build automation, integrations, configuration-as-code workflows, monitoring, controlled deployments, and recovery processes. Improve platform reliability, visibility, maintainability, and operational efficiency while partnering with Security, IAM, infrastructure, and support teams. Mentor engineers, coordinate phased adoption, and establish dependable endpoint health and remediation workflows.

Develop and architect backend-focused full-stack features for Words With Friends using C#, Ruby on Rails, Unity, cloud infrastructure, APIs, databases, and DevOps practices. Responsibilities include designing gameplay systems, optimizing performance, managing deployments and live operations, writing tests, reviewing code, collaborating cross-functionally, documenting solutions, contributing to architecture, improving development workflows, and mentoring junior engineers.

Own and deliver goals for ML training and serving infrastructure. Lead engineers through ambiguous, distributed-systems challenges; design, develop, and operate highly available backend platforms; monitor reliability and support on-call operations. Collaborate with product and engineering stakeholders, improve code and design standards, identify and resolve technical issues, and mentor team members. The role focuses on scalable systems that enable production model training and serving.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Lead architecture and hands-on development of a scalable fraud and payment risk platform. Build backend services, APIs, feature pipelines, configurable rules, experimentation infrastructure, and machine-learning lifecycle tooling. Own reliability, observability, monitoring, performance, and safe production deployments. Collaborate with product, risk policy, data science, and engineering teams while mentoring engineers and driving complex initiatives from design through production.

Build full-stack geospatial applications and platform components for defense and intelligence users. Develop interactive mapping tools with TypeScript, React, Tailwind, Node.js, and PostgreSQL; design reusable map components; ingest, analyze, and visualize high-volume geospatial data; integrate agentic AI analyses; and collaborate with customers, mission owners, designers, and engineers to create intuitive operational workflows.

Leads software engineering across broker productivity products and core platform squads. Owns engineering delivery, infrastructure and security roadmaps, cross-squad practices, migrations, integrations, testing, and compliance remediation. Partners with product and company leadership, hires and develops senior engineers and tech leads, and builds scalable engineering management structures. The role remains hands-on through design reviews, specifications, code reviews, and technical spikes.

Architects, builds, and operates resilient backend services, cloud infrastructure, automation tools, and self-service interfaces supporting MDR and incident response operations. Partners with security practitioners and engineering teams to translate operational needs into scalable solutions, establish CI/CD and observability practices, improve reliability, and integrate AI-driven workflows. The role also provides technical mentorship, leads architecture and design decisions, and drives complex initiatives through iterative delivery.

Own backend engineering goals for Consumer Engineering, lead delivery of scalable systems, collaborate with product, design, and analytics, improve reliability and code quality, resolve technical and business issues, support on-call operations, and mentor engineers.

Own quarterly engineering goals, lead backend engineers through ambiguous problems, collaborate with product and analytics partners, improve system reliability and availability, monitor operational metrics, establish quality standards, and mentor team members. The role requires designing and launching highly available distributed backend systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes, while driving technical planning and safe changes across large codebases.

Build and scale MongoDB Atlas Agent Engine, including its developer CLI, SDKs, runtime, memory, retrieval, identity, governance, and distributed systems layers. Design well-tested, reliable, high-performance software; contribute to architecture, code reviews, developer experience, and engineering practices. Collaborate across research, product, design, and engineering teams, own complex projects, mentor engineers, and help evolve the platform for production-scale AI agents.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Architect and operate scalable cloud and virtualized lab platforms for global sales engineering teams. Build automated cybersecurity demonstrations simulating malware, exploit paths, and detection workflows. Lead self-service tooling, product demonstration readiness, infrastructure reliability, outage resolution, security governance, and major conference technical operations. Partner with Product Management, Engineering, Information Security, and Platform Engineering while providing technical leadership across complex infrastructure initiatives.

Build and maintain internal AI-powered tools and automations for sales, customer success, and revenue operations. Implement features, automate lead routing and pipeline workflows, troubleshoot integrations, monitor tools, fix bugs, and evaluate AI platforms. Collaborate with nontechnical stakeholders to gather requirements and deliver reliable, documented code using APIs, scripting languages, and database systems.

Own post-sale technical deployments for enterprise customers, configuring monitors, alerts, and integrations in Snowflake and Databricks environments. Write production Python, SQL, and API integrations, drive customer adoption and measurable value, expand usage across teams and use cases, and provide feedback to Product and Engineering. Help establish the forward-deployed engineering playbook while advising data engineering teams and executives.

Develop and launch reliable backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor system metrics, support availability and on-call operations, debug code, conduct code reviews, and contribute to team growth and interviewing. The role requires 1.5+ years of software engineering experience and strong communication skills.

Leads software teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Builds prototypes, scales applications, develops responsive frontend features, integrates systems, collaborates with government operators, and conducts deployment and field testing in secure environments. The role requires customer relationship management, technical leadership, software engineering expertise, and active security clearance.

The Senior Site Reliability Engineer maintains resilient, observable SaaS platforms through monitoring, alerting, automation, CI/CD, infrastructure as code, and performance optimization. The role leads incident response, triage, root-cause analysis, and 24/7 on-call operations while applying AI/AIOps for predictive reliability and automated remediation. Responsibilities include supporting cloud infrastructure, Kubernetes environments, production security, database performance, SLOs, SLAs, and continuous improvements in collaboration with software engineering teams.

Leads mobile QA and automation strategy for iOS and Android React Native applications. Architects scalable test frameworks for mobile, web, and REST APIs; develops automated UI, integration, regression, performance, and release tests; integrates testing into CI/CD pipelines; manages QA backlogs and release readiness; troubleshoots defects; defines quality standards; and mentors QA engineers while supporting hiring and practice development.

Design, implement, and optimize MongoDB database integrations, Change Data Capture and streaming capabilities, and observability systems. Develop high-performance C++ services, contribute to query engine and distributed systems architecture, lead projects from design through production support, and collaborate with product and engineering teams on technical roadmaps.

Build Vetcove’s AI-native developer experience, including coding-agent workflows, CI/CD, testing, deployments, automations, developer infrastructure, and self-service tools. Improve engineering productivity by identifying bottlenecks, reducing manual work, introducing effective tools, and establishing reliable permissions, sandboxing, and observability. Partner with engineering leadership and teams across the company while working hands-on across Python/Django, React/TypeScript, and supporting infrastructure.

Lead technical strategy and execution for Affirm’s account management team, building secure, scalable fullstack systems and customer account security experiences. Collaborate with product, design, analytics, and engineering teams; establish quality, monitoring, testing, and operational standards; support availability and on-call practices; communicate technical decisions; and mentor engineers.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.