Top Remote Python Jobs in San Diego, CA

Design, implement, and manage scalable cloud infrastructure (AWS/Azure/GCP); build and maintain CI/CD pipelines; automate provisioning with Terraform/Ansible; run containerized workloads with Docker and Kubernetes; implement monitoring and alerting (Prometheus, Grafana, ELK); enforce cloud security best practices; collaborate with development teams to optimize deployment, reliability, and performance.

Design, deploy, and manage scalable cloud infrastructure and CI/CD pipelines. Automate provisioning and configuration with IaC, manage containerized workloads with Docker and Kubernetes, implement monitoring and security best practices, and collaborate with developers to optimize application delivery and reliability.

Lead end-user facing engineering squads (about half the team), grow engineering capacity, and provide hands-on technical leadership. Drive distributed computing, cloud (AWS/Azure), CI/CD, Agile/Scrumban, mentoring, conflict resolution, and product delivery for a remote-first, time-zone-compatible global team. Travel periodically for face-to-face team interactions.

Owner of enterprise systems and automations: build and maintain Airtable bases and n8n integrations, write scripts and API/webhook integrations, administer NetSuite, monitor Snowflake pipelines, provide high-touch technical support, and document runbooks.

The Senior Cloud Platform Engineer focuses on designing and supporting automation tools in AWS, ensuring security compliance, and advising development teams on best practices.

Design, develop, deploy, monitor, and support APIs and system integrations (Salesforce, REST, third-party). Work directly with clients to gather requirements, troubleshoot and optimize integrations, operate solutions in AWS, collaborate with teams, and mentor junior developers.

Build and ship full‑stack features for transportation management and other client products. Design and implement APIs and UIs, collaborate with product and design, own delivery, write modular testable code, troubleshoot and iterate quickly, and mentor peers.

Build, ship, and maintain production-quality web and mobile products. Contribute across product, design, and engineering, own delivery, write modular testable code, and mentor teammates while iterating quickly to deliver business value.

Develop and maintain Python applications focusing on iterators/generators/streams, concurrency (multithreading, non-blocking I/O), and high-precision numeric handling. Work with JSON/XML, REST and SOAP APIs, ACID-compliant databases, message brokers/queues, and produce clean, SOLID code. Unit and integration testing experience is beneficial.

Remote entry-level DevOps role responsible for deploying and managing containerized Python and JavaScript applications on cloud managed services (AWS/Azure/GCP). Implement CI/CD pipelines, container orchestration (Kubernetes/EKS/AKS/GKE), deploy web and microservice applications, node/django apps, and managed databases. Opportunity to work on data and ML infrastructure and scale deployments.

Build and maintain backend APIs and microservices using Django REST Framework and Django 3.0. Implement serialization, models, views, routers, authentication/authorization, and complex RESTful endpoints. Work with relational and NoSQL databases, complex SQL queries, nested JSON and XML, and ensure API security and scalability. Collaborate with data engineering on data and ML pipelines. Immediate joiners; remote, individual-contributor role in a startup-like environment.

Develop and maintain high-volume Kafka data ingestion pipelines in Python using Producer/Consumer APIs and Kafka Connect (Debezium/JDBC). Configure topics, brokers, schema registry, converters, and connectors; implement CDC, custom producer/consumer logic and transformations; optimize broker/producer/consumer/connect/stream settings; deploy multiple source/sink connectors to production and integrate Kafka with messaging systems like RabbitMQ, Redis, and AWS SQS.

Hands-on DevOps role focused on containerization and cloud deployments: build and deploy Docker images across VMs, container services, and Kubernetes; implement CI/CD pipelines; manage identity services and APIs; deploy web apps and microservices on AWS/Azure/GCP; monitor container logging and manage managed databases. Work as an individual contributor on production platforms.

Design, implement, and manage secure, highly available RHEL servers and Azure-based cloud solutions. Automate deployments with scripting, support Docker/Kubernetes pipelines, document systems, and adapt to new Azure resources to enhance capabilities for developer groups and military customers.

Lead architecture and development of secure, compliant financial systems (payments, billing, ledgers). Drive bank and processor integrations, ensure transaction integrity and observability, lead incident response, mentor senior engineers, and evaluate payment and AI technologies to improve customer and operational outcomes.

Build and operate internal APIs and delivery systems for Data Science solutions. Implement deployment, security, auth, and observability; support integrations; runbooks and documentation; participate in on-call rotations, incident response, and post-incident improvements; provide code reviews and mentorship; design solutions on cloud, Kubernetes, and LLM-enabled infrastructure.

Lead invention of AI-driven ASIC development methodology, identify cross-stage bottlenecks, build scalable data pipelines, define metrics, mentor engineers, and evaluate AI/EDA research to improve predictability and cycle time.

Lead and grow two engineering teams building NVIDIA's internal S3-compatible object storage and data movement tooling. Own roadmap execution, service reliability (SLOs, capacity, incident response), CI/CD and observability, recruiting and mentorship, and cross-team collaboration to ensure high-performance, scalable storage for AI workloads at exabyte scale.

As an Engineer at Archer, you will work on advanced aerospace programs, focusing on survivability technologies and Operations Analysis, leading cross-disciplinary teams.

The Staff Software Engineer will lead AI integration into software design, develop scalable systems, and mentor other engineers while improving best practices.

Lead and mentor SRE teams; partner with engineering, operations and product; apply statistical analysis and networking expertise to diagnose performance and reliability issues; define and implement data feeds; influence technical decisions and investments; build tooling to automate analytical workflows and increase platform reliability.

Support flight software certification for the Nyx orbital vehicle through V&V and IV&V, requirements management and tracing, test planning, documentation for certification and NASA safety reviews, standards interpretation, interfacing with system engineering and product assurance, and contributing to software design and integrated mission testing using C++ and Python.

Lead Leap's engineering function: hire and scale a high-performing team, own the technical roadmap and architecture, build AI-native data and production ML systems (LLMs/agents), and deliver correct, auditable healthcare workflows for drug identity, causal attribution, and intervention automation.

Design, build, and own end-to-end features for AI-powered finance agents and agent orchestration. Implement integrations with accounting and payment platforms, create dashboards and reporting, ensure security and data integrity, make architectural choices, monitor production, and drive AI-assisted, agentic development workflows.

Join our remote R&D team to innovate in graphics and spatial computing, implementing advanced techniques for immersive streaming applications.