Top Remote Python Jobs in San Diego, CA

Build and maintain data-intensive, interactive web products across the full stack. Architect and implement API and frontend features, validate FastAPI responses with Pydantic, access Postgres via SQLAlchemy, optimize performance and scalability, implement testing and QA, participate in code reviews, refine UX, and help define engineering processes at an early-stage company.

The Senior Platform Engineer will automate product delivery using Cloud technologies, mentor team members, and implement Infrastructure as Code, CI/CD pipelines, and cloud architecture under AWS security standards.

Ensure reliability and availability of Tradeweb's global AWS platform through IaC automation, observability and SLO definition, incident triage and resolution, on-call duties, collaboration with development teams, and security-focused platform improvements.

Build bespoke, mission-critical full-stack software for strategic (defense) customers: front-end, back-end, data integration, cloud (AWS/GCP), and CI/CD. Translate customer needs into technical requirements, mentor engineers, leverage AI tooling for rapid iteration, and deliver reliable solutions while traveling to customer sites.

Customer-facing senior Solutions Architect leading and mentoring engineers to design and deliver cloud-native, secure CI/CD solutions. Own POCs and packaging (Zarf/UDS), build CI/CD pipelines, deploy and troubleshoot containers and Helm/Kustomize artifacts across AWS/GCP/Azure, and drive process improvements and enablement for Defense customers.

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.

Lead a small cloud engineering team to design, maintain, and secure hosting platforms for two global SaaS products. Combine people management (hiring, coaching, performance) with hands-on technical work in Kubernetes, ArgoCD, Azure, IaC, and Linux; troubleshoot stack-wide issues, manage backlog execution, coordinate cross-functionally, produce leadership reports, and serve as escalation point for infrastructure requests and incidents.

Build and maintain CI/CD pipelines, manage and optimize multi-account AWS infrastructure (ECS Fargate, select EKS), ensure security and observability (Datadog), troubleshoot distributed event-driven systems, participate in daytime on-call, and support internal IT/device and identity lifecycle tasks.

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.

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.

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.

Manage and optimize development and deployment processes. Implement and maintain CI/CD pipelines, manage AWS cloud infrastructure, operate Docker and Kubernetes, write automation scripts (Python, Bash), ensure system reliability and performance, troubleshoot issues, and collaborate with development teams.

Develop, test, and maintain software applications. Design scalable solutions with the engineering team, work in Agile, and use Java, Python, SQL, and Git to meet user and business needs.

Senior Linux systems engineer responsible for deploying, configuring, and optimizing RHEL-based application environments. Develop automation and standardized deployment practices, ensure system reliability, performance, and security, provide third-level technical support and on-call escalation, support cloud adoption, and document/transfer operational knowledge across engineering and operations teams.

Support and maintain a containerized Atlassian server stack in a secure Linux PaaS environment. Implement, automate, and troubleshoot DevOps systems, deployments, and infrastructure. Improve performance, availability, and security while collaborating with cross-functional Agile teams and maintaining documentation.

Design, build, and maintain RESTful, SOAP, and GraphQL APIs; integrate third-party services and databases; implement OAuth2/JWT authentication; optimize performance with caching and load-balancing; document APIs; use Postman/Swagger/OpenAPI/SoapUI; work with cloud platforms, containerization, automated testing, and SQL/NoSQL databases.

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.

Manage stability, performance, and scalability of enterprise block, file, and object storage platforms. Automate provisioning and configuration, perform capacity planning and performance analysis, install and upgrade storage systems and firmware, lead incident response and root cause analysis, support backup and disaster recovery workflows, and collaborate with global infrastructure, database, cloud, and application teams.

Lead and coach a team building internal NOC applications and automation. Oversee full‑stack delivery across private and public cloud, drive workflow automation using APIs, event-driven and AI patterns, ensure production readiness, observability, and collaboration with infrastructure, security, and operations teams to improve reliability and operational efficiency.

The Senior Site Reliability Engineer is responsible for architecting reliability strategies, implementing SRE frameworks, mentoring engineers, and ensuring system resilience and performance in government systems.

The Site Reliability Engineer will implement reliability engineering practices, develop automation, maintain CI/CD pipelines, and ensure system health through monitoring.

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.

Lead QA strategy and execution for ARBI and Athena: audit QA, define test architecture, build automated frontend/API/integration/regression suites, validate AI/LLM behaviors and data workflows, integrate tests into CI/CD, perform performance and reliability testing, and own release readiness, metrics, and QA operating rhythms across the product.