Top Remote Python Jobs in San Diego, CA

Lead and grow distributed database-internals engineering teams owning TimescaleDB. Set technical roadmaps, prioritize work with Product, collaborate with Platform, handle customer escalations, mentor engineers, and drive delivery of reliable, high-performance database systems.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

The Mission Engineer positions involves system modeling, software integration, data modeling, link analysis, and operations triage of wireless communication systems.

The role involves developing and verifying SoCs, creating test plans, debugging, and collaborating with various experts to ensure competitive solutions.

Design and validate high-speed packages, develop EDA tools and automation flows, model package structures, and ensure consistency in design processes.

The Optoelectronics & Integration Researcher will conduct research on high-speed optoelectronic interfaces, collaborate with Nokia Bell Labs, and define materials and techniques for optical subassemblies.

Lead design and implementation of Pinterest Edge systems (CDN, TLS, DNS, proxies) to manage automation traffic and rate limiting at scale. Develop request-processing logic in Envoy, collaborate with vendors and platform teams, mentor engineers, use AI to accelerate workflows, and participate in on-call incident response and reliability improvements.

Work on backend and frontend features for a waste-management SaaS: build Java/Spring Boot services, React UI, work with PostgreSQL/PostGIS, debug production, write tests, collaborate with Customer Success, participate in on-call rotation, and adopt AI-assisted development tools.

Lead implementation of software safety programs for underwater robotic/autonomous vehicles per MIL-STD-882. Produce safety plans and assessments, perform hazard analyses, track coverage metrics, catalog safety artifacts, review software independently, and present findings at reviews and customer meetings. Coordinate across programs and support demanding schedules with occasional travel.

Build and maintain intuitive frontend web applications for data upload, search, visualization, and interactive 2D/3D geospatial tools. Collaborate with scientists to design complex visualizations, modernize the frontend stack, mentor junior developers, and implement automated UI testing and deployment pipelines.

The role involves building decision science libraries and tools for mineral exploration, collaborating with teams to improve decision-making processes.

Design, build, and maintain highly available cloud-native systems. Improve reliability through automation, CI/CD, Kubernetes, observability, and incident management. Collaborate with developers, security, and product teams to define SLOs, implement self-healing, debug production issues, and ensure secure deployments.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Lead customer engagements and pre-sales for Databricks-based data platforms. Architect and deliver end-to-end data engineering solutions supporting BI, ML/AI, and analytics; manage multiple accounts, mentor teams, ensure data quality, governance, and production readiness, and produce technical documentation and presentations.

Lead verification of custom ASIC/SoC from block to full-chip: develop verification plans, build SystemVerilog/UVM testbenches, run constrained-random and directed tests, use SVA and formal methods, manage regressions and CI, drive coverage closure, support post-silicon bring-up, and influence DV methodology across cross-functional teams.

Lead design, build, and maintenance of scalable, secure blockchain participation and custody infrastructure. Improve automation, monitoring, incident response, and observability; debug distributed protocols; inform leadership strategy; scope product opportunities; and support on-call reliability and deployment automation.

Design, build, and operate scalable infrastructure and CI/CD/IaC systems. Implement observability (monitoring, logging, alerting), automate reliability improvements, mentor engineers, collaborate on incident response, and participate in on-call rotations to maintain Akamai Cloud services.

Design, implement, and maintain Plume's core blockchain node and validator software; develop scalable, secure protocol features across the full crypto/DeFi stack; tackle distributed-systems and networking challenges; integrate backend services and on-chain UX; and iterate on protocol design to improve performance and reliability.

Lead design, implementation, automation, and troubleshooting of Akamai's global network infrastructure. Build and maintain scalable BGP routing, data center CLOS fabrics, overlay technologies (VxLAN/EVPN), multi-vendor environments, and automation templates. Drive hardware/platform rollouts, deep-dive analysis, and clear documentation to ensure reliability, scalability, and security.

Implement and maintain AWS cloud standards, IaC patterns, and CI/CD automation to enable developer self-service. Support containerized workloads, monitoring, security/compliance, troubleshooting, documentation, and participate in on-call rotation to ensure reliable, cost-efficient cloud platform operations.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.

Support and operate customer-facing iLottery and loyalty platforms with focus on Kubernetes (on-prem and cloud), GitOps-driven CI/CD (ArgoCD), container management, observability (Graylog, New Relic, ELK, Prometheus/Grafana), infrastructure automation (Ansible, Terraform), incident response, SLOs, capacity/resiliency planning, security remediation, documentation, and 24x7 on-call support.

Design and implement machine learning algorithms for robotic manipulation, focusing on RL and IL. Collaborate across disciplines to ensure integration and successful deployment.