Top Remote Python Jobs in San Diego, CA

Embed with strategic clients to design, build, and ship production Python code and data pipelines. Integrate RESTful APIs, optimize complex SQL, architect scalable data workflows, lead technical discovery and workshops, and translate operational needs into product improvements while ensuring mission-critical outcomes.

Build and maintain large-scale batch and streaming data ingestion and ETL pipelines for global geospatial datasets. Implement, test, monitor, and optimize backend services on AWS; integrate data with APIs; mentor engineers; reduce technical debt; and participate in design, code reviews, and on-call support to ensure data quality and operational excellence.

Design, build, and scale low-latency distributed platform components; define technical vision and architecture; collaborate with product and ML teams; evaluate build-vs-buy decisions; prototype research breakthroughs and deliver robust, production-grade services.

Build and own production backend services in Python for a large-scale ecommerce search platform. Work with SQL-heavy systems, monitoring/alerting, and debugging user-facing systems. Deliver maintainable software via tests, code review, and incremental delivery. Collaborate on data integrations and optional ETL/ELT workflows with PySpark; apply SEO, API/auth, and unstructured data knowledge when needed.

Lead design and development of multi-tenant backend services and APIs for a space communications platform on AWS. Build scalable, secure services with automation, testing, and mentorship of junior engineers; interact with customers and partners and support operations for US government satellites.

Build and lead development of core backend platform services for a space communications ground system. Design and implement multi-tenant cloud-native APIs and services with automation and security, own features end-to-end, mentor junior engineers, and collaborate across teams to support US government satellite operations.

Responsible for managing wafer level testing processes to improve yield, overseeing test equipment, and coordinating with external suppliers and engineering teams.

Design and implement Wi‑Fi 6 (802.11ax) and 802.11s mesh networking software for enterprise access points. Develop HMAC components, optimize throughput/latency/airtime, integrate on NXP-based Embedded Linux platforms, maintain hostapd/wpa_supplicant/mac80211, debug with packet captures, and collaborate with RF/firmware/QA teams for product releases.

Lead the qualification and process development for a new InP photonics semiconductor fabrication facility, focusing on process integration and yield improvement.

Own end-to-end onboarding of enterprise customers onto the TPRM platform: gather requirements, configure workflows, build API integrations and automation, handle data migration, run discovery and training, document solutions, and manage multiple implementations to go-live.

Build and ship first-party risk management features end-to-end: risk registers, risk scoring, control testing, monitoring, and framework integrations. Implement backend services/APIs and React/TypeScript front-end components, collaborate with product/design/QA, and ensure data integrity and test coverage in a compliance-focused SaaS product.

The Senior Software Engineer will enhance Attentive's event streaming platform, architect high-throughput systems, improve tools for product teams, and tackle complex distributed challenges. Responsibilities include collaborating on messaging systems and modernizing the architecture.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

The Senior HPC Architect role involves deploying large-scale GPU compute clusters, optimizing system administration, and collaborating with researchers on HPC and AI solutions.

Build and own end-to-end full-stack systems using AI-assisted development. Identify opportunities for automation and product impact, design and implement backend services, internal tools, and experiments, work with cloud and edge platforms, maintain reliability and observability, conduct code reviews, mentor engineers, and iterate on solutions with stakeholders to measure business outcomes.

Design and simulate analog/digital circuits and power delivery networks (die to platform) for processors. Perform block- and system-level simulations, ensure reliability/performance, mentor junior engineers, and collaborate globally to improve netlist and timing quality.

Lead verification testing for high-speed coherent and direct-detect photonic components and subsystems. Design test plans/algorithms, execute module performance validation, and collaborate with PIC, ASIC, module, and system teams to ensure quality product releases.

Backend-leaning full-stack engineer to build, maintain, and scale CueBox's Golang/Protobuf/Postgres backend and React/Next.js frontend. Pioneer new product areas, improve performance and payments, contribute to architecture and engineering culture, and support Python data pipelines on GCP.

Own and improve the end-to-end developer experience for AIMS ML teams: local/remote dev environments, build/test infrastructure, CI/CD, and internal platforms. Design, build, and operate large-scale build and CI systems, remove developer friction, instrument workflows, drive adoption, and set technical standards. Partner with ML researchers to prioritize productivity investments and evaluate/integrate GenAI-powered developer tooling with safety guardrails.

Partner-facing senior technical role that helps schools integrate with GiveCampus, advises advancement teams, masters major advancement CRMs, builds integration tools and custom applications, and collaborates with product and engineering to surface partner needs and shape the platform roadmap.

Design, build, and maintain FinOps tooling, data pipelines, dashboards, and automation to improve cloud cost visibility, allocation, and optimization across Azure, AWS, and GCP. Support budgeting, variance analysis, anomaly detection, and executive reporting. Collaborate cross-functionally to implement tagging, chargeback/showback, governance, and AI-enabled automation while documenting operational processes for scalable FinOps practices.

Own and scale the search, indexing, and data-scanning infrastructure for petabyte-scale data. Optimize hybrid lexical and vector retrieval for sub-second latency, design cost-effective hot/warm/cold data tiering and massive asynchronous scans, drive down latency and cost, and provide technical leadership for resilient, highly available indexing and retrieval systems.

Build and maintain developer platform tooling that ensures SIL-4 safety compliance: automation for certification evidence, CI/CD improvements, Bazel build maintenance, lightweight web dashboards, developer workflow automation, monitoring, and on-call support.

Lead the design and implementation of end-to-end quality systems and testing frameworks. Own multiple testing layers (unit, integration, E2E, contract, performance, chaos), integrate automated tests into CI/CD, drive load/performance testing and monitoring, troubleshoot failures, apply AI tooling to improve workflows, and collaborate with engineers, PMs, and designers to improve coverage and reliability.

Lead design and implementation of real-time, event-driven data ecosystems powering personalization. Define self-service data infrastructure, governance, and architecture standards. Provide cross-team technical oversight, mentor engineers, ensure production reliability and cost optimization, participate in deployments and on-call, and collaborate on roadmaps and OKRs.