Top Remote Python Jobs in San Diego, CA

Design, implement, and operate scalable GCP infrastructure using IaC (Terraform/Deployment Manager). Build and maintain CI/CD pipelines, monitor systems (Dynatrace/Stackdriver), manage security/compliance, support development/production environments, automate tasks with scripting and config management, and optimize cloud costs.

Develop and maintain cloud-based, high-performance services in Rust. Collaborate with technical leads and architects, guide junior engineers, translate business requirements into solutions, and enhance applications for pricing, order management, trading, simulations, and monitoring while applying agile practices and automated delivery pipelines.

Responsible for implementing and managing infrastructure as code (Terracore/Terraform), automating CI/CD with Jenkins, managing AWS services and Amazon EKS/Kubernetes, scripting in Bash/Python, implementing monitoring and security best practices, supporting production via on-call rotations, and collaborating with development and QA teams.

Perform functional testing of backend systems (mainframe and middleware) for payments/banking. Validate and compare JSON and XML, design and execute test cases for batch jobs and message queues, support integration testing and automation, track defects, and collaborate with development and business teams.

Lead design, automation, monitoring, and optimization of scalable, secure GCP infrastructure. Build CI/CD pipelines, manage incidents and security/compliance, support dev teams, script automation, and optimize costs.

Design, execute, and maintain manual and automated tests (functional, regression, performance). Report and track defects, perform API testing, collaborate with developers and product owners, and improve testing processes. Participate in test planning, documentation, and ensure adherence to SDLC and quality best practices.

Architect and lead design of scalable, secure solutions across backend, frontend, and data platforms. Lead Java (Spring Boot) APIs, Python data processing, big data (Spark/Hadoop), microservices, RESTful APIs, Angular front-ends, CI/CD, containerization, and cloud-native deployments. Provide architectural guidance, conduct code reviews, mentor engineers, and collaborate with product and DevOps teams to deliver production-ready systems.

Design, implement, administer, and optimize large-scale Hadoop clusters (HDFS, YARN, MapReduce). Monitor, secure, troubleshoot, automate provisioning, and implement backup/disaster recovery. Collaborate with data engineers/scientists, implement ETL/streaming pipelines, and document configurations and best practices.

Design and implement GCP architectures, lead cloud foundation builds and on-premises to GCP migrations, implement Vertex AI solutions, mentor engineers, ensure security/compliance, troubleshoot infrastructure, and collaborate with stakeholders to translate business needs into scalable cloud solutions.

Develop, design, and deliver complex Python backend applications for acquiring, storing, and computing on large volumes of data. Lead feature implementation, ensure code quality via linting and automated tests, mentor junior developers, perform code reviews, collaborate with cross-functional teams, and troubleshoot production issues.

Design and implement GCP cloud architectures, lead cloud foundation builds and on-prem to GCP migrations, implement and optimize Vertex AI solutions, mentor engineers, ensure security/compliance, troubleshoot complex GCP issues, and collaborate with stakeholders to translate business needs into scalable cloud solutions.

Design, develop, and execute automated test strategies for data pipelines, ETL processes, and data warehouses. Create and maintain automation frameworks and CI/CD-integrated test suites, perform data validation and reconciliation using complex SQL and PySpark, identify and track defects, and collaborate with development and data teams to improve data quality and system reliability.

Own the operational lifecycle of cloud-native data infrastructure: design and automate reliable deployments, observability, incident response, SLIs/SLOs, autoscaling and IaC, and improve platform efficiency and data freshness across GKE and Cloud Run.

Hands-on Rust developer lead building secure, scalable cloud services. Design, implement, and optimize low-latency trading and pricing systems; mentor junior engineers; apply agile practices, CI/CD, profiling, and cloud technologies to deliver production-ready features.

Lead design and maintenance of test automation frameworks for microservices. Author API, contract (Pact), integration, end-to-end, and performance tests. Integrate tests into CI/CD, define quality metrics, mentor junior QA, and collaborate with architects and developers to ensure reliability, scalability, and observability.

Design, implement, and maintain AWS cloud infrastructure; build CI/CD pipelines; implement IaC and container orchestration; monitor and secure systems; automate deployments; collaborate with developers; document architecture and procedures.

Develop and maintain enterprise applications in Go, design and implement real-time market data systems, build observability (Datadog) dashboards, work with AWS/cloud services and CI/CD pipelines, perform Unix/Linux scripting, automated testing, and troubleshoot systems, network, and application issues with SRE best practices.

Design, automate, and maintain cloud platform infrastructure and release processes. Implement and monitor observability, networking, security/patching, and container orchestration (EKS/Istio). Use Terraform, GitLab CI/CD, shell scripting, and Python to build reliable, compliant AWS-based systems and collaborate in Agile teams.

Design, automate, and maintain scalable, secure GCP cloud infrastructure. Build and improve CI/CD pipelines, monitor and respond to incidents, enforce security/compliance, optimize costs, and script/configure tooling to support development, QA, and production environments.

Principal Automation Engineer driving QE modernization for data and API initiatives. Design, build, and maintain automation frameworks for APIs, data pipelines, and reporting; implement data validation strategies; perform performance testing; integrate tests into CI/CD; coach squads on QE best practices; produce quality metrics and dashboards.

Design, develop, and execute automated API tests; perform manual and automated UI testing; write and run SQL queries to validate data; collaborate with developers to resolve defects; maintain test plans, cases, and scripts; participate in code reviews and improve testing processes and methodologies.

Lead design and implementation of GCP architectures, build cloud foundation, migrate on-premises infrastructure to GCP, and implement Vertex AI solutions. Provide technical leadership, mentor engineers, ensure security/compliance, optimize performance and cost, and troubleshoot complex GCP infrastructure issues while collaborating with cross-functional teams.

Design, develop, and maintain Java-based backend systems that integrate with blockchain platforms and smart contracts. Implement DApps and smart contracts, collaborate with cross-functional teams to deliver features, optimize performance and scalability, ensure secure blockchain interactions, and stay current with distributed ledger technologies.

Lead systems analysis for complex integration initiatives in the brokerage/finance domain. Gather and document requirements, create user stories and process flows, evaluate system designs, provide middleware/API/backend technical analysis, mentor junior analysts, and drive resolutions across concurrent initiatives within an Agile environment.

Assess current platform architecture, identify gaps, and design a scalable, secure target-state architecture and migration roadmap to enable marketplace functionality and AI integration. Recommend technology stack, API and integration patterns, cloud and containerization strategies, and lead stakeholder communication, performance tuning, and security assessments.