Top Remote Python Jobs in San Diego, CA

Senior individual contributor owning integration architecture and API design across products. Defines API contracts, patterns, tooling, and governance; leads cross-team technical decisions; implements integration services; operates integrations on cloud (AWS preferred); mentors engineers and documents standards, RFCs, ADRs, and runbooks.

Design and own AI-agent-driven test workflows and the automated verification framework. Build test context, select models and tooling, validate AI-generated code and tests, operate test automation across UI/API/mobile/data, ensure security and compliance, mentor teams, and continuously improve agent orchestration and observability.

Provide advanced, customer-facing technical escalation support for CalixOne and cloud-connected Wi‑Fi premises equipment. Troubleshoot complex networking and cloud issues, use data-driven insights to recommend improvements, create technical documentation, support early adopter customers, collaborate cross-functionally including executive communication, and complete ongoing training to stay current on features and technologies.

Design, implement, and test MAC control-plane software for satellite links, including TDMA/DAMA scheduling, QoS, link-state machines, hardware integration (PHY, FPGAs, modems), and simulation/testing to validate performance under mobility and failure scenarios.

Design and implement MAC control-plane software for satellite point-to-point and point-to-multipoint links. Develop schedulers, admission-control, state machines, QoS, flow control, and link-adaptation logic. Define interfaces to PHY/modem/hardware, evaluate centralized vs. distributed architectures, build simulation and test capabilities, and lead development through hardware integration, qualification, and deployment.

Architect and operate the People Technology platform: design scalable, secure Workday-based systems, build Workday Extend applications and Workday Studio integrations, implement event-driven APIs and data pipelines, champion AI-enabled HR workflows, ensure observability and SOX-compliant security, and partner with cross-functional teams to translate HR needs into technical roadmaps.

Lead full-stack development across backend and frontend systems, implement and maintain features, fix bugs, collaborate with product and design, support client projects, and contribute to a distributed remote engineering team focused on high-impact startup missions.

Lead architecture and delivery of AI-native contact center solutions using Amazon Connect and generative AI. Design AI agents, contact flows, serverless backends, analytics lakes, IaC, CI/CD, observability, and migration plans. Mentor engineers, drive technical decisions, manage risk, and support pre-sales and customer enablement.

Lead firmwide CAD standards, templates, and content libraries for utility-scale solar, BESS, and substations. Manage AutoCAD/Civil 3D configurations, QA/QC drawing audits, implement CAD tools and automation, train and mentor drafting staff, and partner with engineering and automation teams to standardize and improve drafting workflows.

The Core Blockchain Engineer will design, build, and scale Ethereum services, improving EVM Node solutions and enhancing tooling for maintainability and reliability.

Design and build backend services and APIs to support customer experiences and third-party device integrations. Own critical product flows, optimize for scale and performance, implement API monitoring, and collaborate with product, analytics, and cross-functional engineering teams.

As a Blockchain Developer, you'll design and develop scalable EVM-based solutions for Conduit's platform, improving Node and tooling for onchain compute.

Design, build, and maintain scripts, APIs, integrations and agentic automations for workplace systems (collaboration tools and identity platforms). Implement monitoring and observability, automate onboarding/offboarding and access workflows, integrate LLMs/agents for productivity, collaborate with IT/security/People teams to ensure compliance, and contribute to code review, documentation, and reusable integration templates.

Design, build, and maintain scripts, APIs, and automations for workplace systems and AI/agent integrations. Develop integrations between collaboration tools and identity platforms, implement observability, improve onboarding/offboarding workflows, and collaborate with IT, Security, and People teams to embed secure, scalable automation. Participate in pilots for LLMs/agents and contribute to documentation, code review, and reusable integration libraries.

Lead and execute end-to-end infrastructure strategy and operations across all products and the SSP. Own reliability, cost optimization, CI/CD, IaC (Terraform), tooling, logging/observability, and network/system security (Zero Trust, OPA, SOC 2). Be a hands-on leader—coach and grow the team, respond to high-severity incidents, implement scalable Kubernetes/Docker deployments, and drive deployment automation and cost/capacity planning.

Build and deliver AI-assisted QA curriculum as part-time instructors, authors, or subject-matter experts. Create and review course content, lead workshops, design exercises, advise on AI QA workflows, and support curriculum improvement with hands-on tool experience.

Lead and scale the product-facing engineering organization for consumer fintech products. Hire and grow teams, drive architecture and code quality, embed AI-native tooling and practices, and ship member-facing voice/chat/BankGPT experiences while remaining hands-on in technical reviews and architecture.

Design, build, and operate CI/CD, Kubernetes-based platforms, deployment automation, and observability for engineering workflows. Improve reliability, performance, and scalability across cloud and on-prem environments, debug cross-boundary failures, perform root-cause analysis, and deliver durable platform software and self-service tooling.

Develop, optimize, and validate high-performance ML and linear-algebra kernels for Cerebras wafer-scale hardware. Implement low-level assembly and a C-like DSL (CSL), model and analyze performance, build testing methodologies, and collaborate with chip and system architects to maximize compute utilization for state-of-the-art AI and HPC workloads.

Operate and scale production AI inference infrastructure, run releases and capacity changes, build self-service CD pipelines and automation, extend telemetry and observability, collaborate on SLOs, post-mortems, and capacity planning to reduce operational toil.

Design, implement, and maintain Python frameworks and services that orchestrate distributed engineering workflows across machines and clusters. Build scheduling, execution, resource management, failure recovery, and test infrastructure. Define APIs and abstractions, reason about concurrency and distributed-systems behavior, debug complex multi-system issues, write automated tests and documentation, and partner with platform, CI, release, QA, and product teams to deliver scalable infrastructure.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly collection/analysis, visualization and root-cause tools, failure classification and monitoring frameworks. Extend compilers, runtimes and programming interfaces for profiling and instrumentation, improve bring-up and low-level debug workflows, lead cross-functional initiatives, support incident response, and establish debuggability and reliability best practices.

Early-career SDET on Release Integration Testing for Cerebras AI Inference Core. Write automation and tests across the AI stack, triage cross-stack failures, maintain branch stability, collect qualification evidence, and collaborate with feature and infra teams to prepare features for production release.

Design and develop software to automate bare-metal configuration, orchestration, scheduling, and job placement for large wafer-scale clusters. Build upgrade/patch workflows, monitoring, HA failure handling, visualization and alerting, and user/admin tools. Ensure on-premise and cloud deployment support and develop tests and debugging tools for distributed systems.

Design, build, test, and deploy scalable front-end and back-end software for a remote literacy assessments team. Collaborate with product, design, data science, and DevOps to improve APIs, reporting, and classroom reliability. Participate in code review, automated testing, deployment automation, monitoring, and cross-functional learning to deliver equitable education tools.