Top Remote Python Jobs in San Diego, CA

Build and operate scalable AWS cloud infrastructure using Terraform and infrastructure-as-code best practices. Develop enterprise cloud solutions focused on security, resilience, performance, and availability. Automate CI/CD pipelines using GitOps, ArgoCD, GitHub Actions, and Azure DevOps. Manage Kubernetes, service mesh, serverless applications, patching, upgrades, and infrastructure operations while collaborating with engineering, architecture, security, and customer teams.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Own the reliability, performance, availability, scalability, and cost efficiency of production Aurora MySQL databases on AWS. Responsibilities include observability, alerting, query optimization, replication, backups, disaster recovery, schema migrations, reader topology, cost optimization, runbooks, incident response, and database performance reviews. The role partners with engineering teams, supports HIPAA-compliant handling of PHI, and establishes reliable database operating practices.

Develop and implement embedded device and system software, analyze system efficiency and stability, optimize I/O performance, support software quality assurance, and code, test, and troubleshoot low-level software. The internship provides hands-on engineering experience, mentorship, and professional development. Candidates must be pursuing a relevant engineering or computer science degree and remain enrolled after the internship.

Leads the design, automation, deployment, and optimization of secure hybrid and multi-cloud infrastructure across AWS, Azure, and GCP. Develops Terraform modules and CI/CD pipelines, executes cloud migrations, implements networking and security controls, troubleshoots infrastructure, and optimizes performance and cost. Conducts infrastructure assessments, creates technical documentation, collaborates with architects and project managers, mentors engineers, and supports enterprise modernization initiatives.

Own the architecture, development, and maintenance of Nebulock’s customer-facing security platform across the full stack. Build product experiences including threat intelligence and detection query tools, improve scalability and maintainability, establish engineering standards, shape the technical roadmap, collaborate across product and security teams, and mentor engineers.

Develop and maintain secure full-stack web applications, APIs, integrations, databases, and production infrastructure. Rapidly prototype with AI-assisted development tools, then audit, refactor, test, secure, deploy, and monitor the resulting software. Integrate healthcare, CRM, billing, communications, and enterprise systems while protecting PHI and supporting HIPAA safeguards. Collaborate with executives, analysts, vendors, and operational teams to translate business needs into maintainable technical solutions, troubleshoot incidents, and continuously improve reliability and delivery speed.

Develop and implement embedded software and systems, analyze system efficiency and stability, optimize I/O performance, and support software quality assurance. Responsibilities include coding, testing, troubleshooting, monitoring, and working closely with hardware. The internship offers hands-on experience, mentorship, professional development, relocation benefits, and short-term housing for eligible interns.

Leads quality engineering architecture for Yahoo Sports web, mobile, API, and cloud platforms. Builds scalable test automation frameworks, AI-driven test generation and diagnostics, CI/CD quality gates, performance and security testing, observability automation, defect triage, and release assurance. Partners with engineering and product teams to improve testability and risk mitigation, establishes quality standards, and mentors quality engineers.

The Principal Engineer will shape the technical strategy for messaging infrastructure, influence architectural decisions across teams, and solve complex technical problems. Responsibilities include mentoring engineers, driving coherence across teams, and leading initiatives to ensure Weave's competitiveness in messaging solutions.

Manage and optimize high-bandwidth, low-latency VFX network infrastructure supporting render farms, storage, cloud rendering, artist collaboration, and remote workstations. Configure AWS Deadline Cloud, troubleshoot Maya and Arnold rendering, build asset-transfer and per-show environment systems, optimize Linux and Windows pipelines, and document architecture and procedures. The role requires strong Python and Bash scripting, networking, storage, systems administration, render-farm, and VFX pipeline expertise.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

Designs, develops, and maintains complex full-stack applications; contributes to architecture, design patterns, code reviews, debugging, and performance improvements. Collaborates with product managers, QA engineers, and stakeholders in Agile delivery processes. Maintains coding standards, stays current with technology trends, and mentors junior developers while delivering scalable, high-quality software solutions.

Build and scale backend APIs, services, event-driven workflows, queues, data models, caching, and integrations serving millions of users. Lead complex technical initiatives from discovery through production, improve reliability and performance, debug cross-system issues, and optimize databases and infrastructure interactions. Partner across Product, Design, Infrastructure, Platform, Data, and Support while mentoring engineers, influencing technical decisions, and raising engineering quality standards.

Own and scale Adobe Experience Platform and Real-Time CDP implementations. Design data collection architecture using Web SDK, Edge Network, and datastreams; govern XDM schemas, identity, datasets, and data quality. Develop tagging, CJA connections and views, audience activation, privacy frameworks, and event-driven data layers. Troubleshoot ingestion and identity issues, integrate Adobe ecosystem tools and downstream systems, and collaborate with stakeholders on scalable technical solutions, governance, documentation, and enablement.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Provides mainframe patch-management expertise using SMP/E and z/OSMF. Responsibilities include CVE reporting, patch automation, response modeling, validation cadence, package stability reviews, dashboard improvements, baseline dataset development, vulnerability-tool integration, and secure patch deployment. The role also develops AI-driven prompts and automation for testing, RFB validation, and impact analysis while supporting z/OS and ISV software installation, maintenance, customization, and testing.

Validate and implement AI fencing controls across z/OS environments through adversarial testing, monitoring, alerting, forensic analysis, and sanitized validation. Design disruptive AI testing labs, test non-privileged user operations, support secure AI adoption, and assess GenieZ production readiness. Requires deep z/OS internals expertise, catalog management, USS security, software installation, complex troubleshooting, advanced testing, REXX, Python, and 10+ years of experience.

Build scalable automated solutions for device fleet management, own and optimize MDM platforms, write OS-level scripts for self-healing, gather telemetry to prevent end-user disruption, translate compliance (CMMC) into code-managed baselines, and create dashboards and alerts measuring end-user SLOs.

Technical lead for public-facing gRPC APIs and SDKs powering provider search, ranking, and dynamic copay lookups. Own API design, versioning, ranking/steerage logic, and reliability at scale. Write and review code and designs, mentor engineers, drive technical direction, partner with product and partner engineering, and support production operations and scaling decisions.

Leads the design, development, testing, deployment, and maintenance of scalable full-stack web applications. Coordinates frontend and backend developers, translates requirements into technical plans, reviews code, mentors engineers, assigns tasks, monitors delivery, troubleshoots technical issues, and contributes to architecture decisions. Oversees APIs, databases, integrations, deployments, releases, security, performance, documentation, and application improvements while collaborating with product, design, and business teams.

Design and optimize custom SRAM circuits for performance, area, power, functionality, and robustness across advanced semiconductor processes. Collaborate with mask designers on dense pitch-matched layouts, verify electrical integrity, and improve design automation, data collection, and analysis flows. The role supports custom memory development for NVIDIA processing chips and requires strong SRAM design expertise, circuit design experience, and familiarity with semiconductor design and verification tools.

As a Gameplay Engineer, you'll design and refine networked gameplay systems, iterate on features, and collaborate with designers and back-end engineers.