Top Remote Python Jobs in San Diego, CA

Build and operate reliable platform systems supporting billing, payments, financial workflows, and usage-based software. Responsibilities include evolving cloud infrastructure, improving observability and incident response, creating developer tooling and automation, optimizing distributed backend systems and databases, and ensuring security, auditability, and financial data correctness. The role requires pragmatic technical judgment, product awareness, end-to-end ownership, and experience operating production systems at scale.

Lead the Technical Marketing Engineering team to shape self-driving networks, creating compelling messages and strategies that accelerate product adoption and influence customer engagement.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

Build and operate secure, scalable multi-cloud infrastructure across AWS, GCP, and networking platforms. Develop self-service tooling, infrastructure-as-code defaults, cloud guardrails, and standardized platform patterns. Lead cross-team infrastructure initiatives, technical investigations, and operational improvements while partnering with security, compute, routing, and other infrastructure teams.

Investigate voice AI campaign and platform issues by analyzing calls, transcripts, logs, configurations, and integration data. Reproduce and document bugs, triage root causes, perform pre-launch and ongoing conversation QA, and develop test plans, regression suites, quality metrics, and automation. Collaborate with engineering, deployment, clinical, and nursing teams to improve agent behavior, workflows, handoffs, scheduling, and outcome capture.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Translate business requirements into technical designs, build and review code, manage complex projects, troubleshoot deployments, and advise customers and internal teams on integration best practices. Collaborate with product, sales, support, and developer ecosystem teams while supporting multiple customer engagements and improving professional services methodologies.

Build and maintain AI-native skills taxonomies, capability models, learning context, instrumentation, and APIs for Databricks employees, customers, and partners. Develop LLM-driven extraction, agentic pipelines, drift and gap detection, and live capability measurement. Partner across content, curriculum, certification, product, and enablement teams to ensure technical skills are consistently defined, assessed, and applied. Use Python, SQL, analysis, and clear writing to advance strategy as an individual contributor.

Own enterprise customer technical cases from triage through resolution, troubleshooting Kubernetes, ECS, Docker, cloud infrastructure, deployments, connectivity, and CI/CD issues. Perform root-cause analysis, lead customer calls, build diagnostic scripts and tooling, contribute small product fixes, and document reusable runbooks. The role also includes occasional customer build engagements and collaboration with Product and Engineering.

Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.

Manages and grows a software engineering team while remaining hands-on in architecture, development, integration, and troubleshooting. Leads cloud-native AWS services, microservices, APIs, Python backend systems, frontend components, secure access controls, CI/CD, and production support for satellite communications ground systems. Collaborates with systems engineering, MBSE, cybersecurity, testing, DevSecOps, and government stakeholders to deliver secure, scalable, traceable, and reliable mission software.

Lead architecture and hands-on implementation for Akamai’s cloud compute platform, including virtualization, hypervisors, operating systems, containers, and Kubernetes infrastructure. Own system design, build proof of concepts, guide engineering teams, influence product direction and roadmaps, establish best practices, and mentor engineers while delivering highly available, fault-tolerant distributed services.

Leads photonic integrated circuit test software architecture, infrastructure improvements, test-station automation, and hardware-control software development. Oversees software migration across LabVIEW, Python, MATLAB, C#, and C++, while leading a small software team and mentoring engineers. The role supports electrical and optical testing of InP-based transceiver PICs at wafer, die, and subassembly levels, including vision systems, probe positioning, calibration, and test software revision control.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Build and maintain scalable, internationalized React interfaces for a SaaS platform. Implement localization in front-end components, manage localization files, coordinate translation workflows, and validate localized builds across languages and regions. Partner with engineering, design, vendors, and localization teams to resolve UI and internationalization issues, support localization QA, and ensure release readiness. The role requires strong front-end development, localization engineering, testing, communication, and independent project management skills.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Lead a small Infrastructure and Agentic Platform team while serving as a hands-on engineering manager. Own AWS infrastructure, data platforms, security, compliance, reliability, and AI-native software development workflows. Mentor engineers, guide hiring, define the roadmap, and build tools for planning, coding, testing, monitoring, and triage. The role requires balancing AI acceleration with engineering quality, cost, security, and operational reliability in a healthcare AI environment.

Build and maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.

Build Python backend services and data-intensive systems supporting member identity, eligibility, billing, partner integrations, reporting, and analytics. Design APIs, asynchronous workflows, and data pipelines; validate, reconcile, retry, replay, and recover inconsistent external data. Improve production reliability, observability, testing, and performance while collaborating with Engineering, Product, and Operations. The role offers growth toward independent ownership of services and technical decisions.

Leads production delivery of intelligent, full-stack solutions across data pipelines, APIs, applications, infrastructure, and ML systems. Acts as the primary technical client contact, translates architecture into delivery decisions, manages technical risk, and leads a cross-functional squad of engineers and data scientists. The role combines hands-on engineering with mentoring, code reviews, architecture, product scoping, and client-site implementation in regulated and critical-infrastructure environments.

Own developer productivity across a large monorepo and the path to production. Improve build, test, deployment, and coverage workflows; enable teams to ship safely and quickly; support multi-cloud and multi-region expansion; and strengthen operational excellence. The role requires delivering framework-level improvements across teams while contributing to backend feature code and working directly with customers on complex scaling challenges.

Operates and supports customer cloud environments across Azure, AWS, GCP, and OCI. Responsibilities include monitoring, incident and request response, provisioning, access management, maintenance, troubleshooting, governance, documentation, customer communication, and ITSM execution. The role also uses scripting, automation, monitoring, and DevOps/SRE practices to improve operational consistency. Participation in after-hours and weekend on-call support is required.

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.

Design, build, deploy, and operationalize Palantir Foundry solutions for defense and security customers. Develop data pipelines, ontology models, operator applications, integrations, and custom widgets using real-time intelligence. Debug infrastructure, networking, and application layers across cloud, hybrid, restricted, disconnected, and on-premises environments. Partner with customer stakeholders, advise technical teams, and own solutions end to end. Travel to secure customer sites and operations centers approximately 25–75% of the time.