Top Remote Python Jobs in San Diego, CA

Develop and deploy cloud-native applications in Azure using Python, contribute to architecture and design, enhance existing software, conduct testing and code reviews, support CI/CD and DevOps practices, troubleshoot production issues, and collaborate with stakeholders. The role also involves defining technical solutions, evaluating scalability and performance trade-offs, partnering with solution architects, participating in on-call support, and mentoring junior software engineers.

Participate in a mentored technical art project supporting AAA game development. Build and refine tools and scripts, troubleshoot pipelines and DCC-to-engine integration, optimize character assets, automate production workflows, document fixes, and collaborate with technical artists using Unreal Engine, Maya, and Python.

Leads the design, implementation, and optimization of enterprise infrastructure, cloud services, identity, endpoint management, and monitoring systems. Drives automation, security hardening, incident response, root-cause analysis, migrations, disaster recovery, and operational improvements. Mentors junior administrators, maintains technical documentation, manages vendor escalations, and supports cross-functional technology initiatives. Requires strong infrastructure, cloud, security, troubleshooting, scripting, observability, and IT service management expertise.

Own the networking architecture and roadmap for AKS Flex and Unbounded, enabling secure, reliable, high-performance Kubernetes connectivity across sites, clouds, edge environments, and on-premises infrastructure. Design overlay and underlay networks, routing, encrypted tunnels, eBPF dataplanes, and distributed systems for high-latency and partitioned environments. Integrate InfiniBand and RDMA for AI workloads, lead cross-team architecture efforts, improve global fleet performance and reliability, and participate in production operations and on-call rotations.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Design, develop, and operate scalable software platforms and automation for Azure network qualification infrastructure. Build tools for device provisioning, configuration, lifecycle management, testing, telemetry, and health validation. Develop AI-powered agents for troubleshooting, root-cause analysis, and engineering productivity. Create reliable distributed systems with observability, diagnostics, automated recovery, and scalability while collaborating across software and network engineering teams.

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Own and evolve the platform supporting product engineering teams, including reliability, observability, test infrastructure, developer experience, infrastructure strategy, cost management, compliance controls, and platform on-call. Lead AWS, EKS, Terraform, CI/CD, and multi-account platform improvements while defining the roadmap and partnering with engineering teams and infrastructure vendors.

Design, build, deploy, and maintain full-stack applications spanning frontend interfaces, backend services, APIs, databases, integrations, and cloud infrastructure. Own complex systems, improve reliability and technical debt, make architectural decisions, mentor engineers, and contribute to code reviews and engineering practices. Evaluate AI-assisted development opportunities and collaborate with product teams, stakeholders, and customers to deliver secure, maintainable software capabilities.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Designs and manages multi-cloud infrastructure across GCP, AWS, and Azure using Terraform and Kubernetes. Provides hands-on developer support, troubleshoots infrastructure and cluster issues, and maintains highly available systems. Responsibilities include networking, container orchestration, monitoring, logging, CI/CD automation, documentation, security collaboration, and on-call participation.

Operate and optimize WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity management, tenant onboarding, storage and networking configuration, Kubernetes and GPU infrastructure support, performance benchmarking, incident escalation, runbook development, and automation using Python, Bash, and Ansible. The role requires strong Linux, storage, networking, cloud, and customer-facing infrastructure administration experience.

Develop and maintain GitLab CI/CD pipelines, containerized environments, and automated deployment systems for web applications. Configure Linux servers and AWS services including ECR, ECS, Fargate, RDS, IAM, and CloudWatch. Containerize legacy applications, implement testing and security scanning, troubleshoot pipeline and cloud issues, write supporting scripts and documentation, and train development teams on DevOps practices.

Leads software engineering teams responsible for designing, developing, and delivering high-quality software solutions. Manages hiring, performance, team development, architecture, code reviews, resource planning, engineering standards, and continuous improvement. Collaborates with product managers to align engineering work with product goals and contributes to project delivery, technical decisions, and an inclusive remote-first team culture supporting healthcare technology systems.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term technical strategy, leads streaming and batch system design, resolves complex scalability and reliability challenges, oversees production readiness and continuous improvement, and influences cross-team technical investments. Partners across Azure Networking, conducts design reviews, establishes reusable engineering patterns, improves observability and quality, and mentors engineers and technical leaders.

Develops and maintains enterprise infrastructure automations using Ansible, ARIA, Python, Bash, and PowerShell. Builds RESTful APIs, Infrastructure as Code solutions, CI/CD pipelines, integration workflows, and automated testing frameworks. Supports the full automation development lifecycle, troubleshoots production issues, documents solutions, and collaborates with infrastructure, security, and service teams in Agile environments. Requires advanced infrastructure automation experience, Linux and Windows administration expertise, secure coding knowledge, and Public Trust eligibility.

Administer, architect, build, secure, and maintain resilient AWS cloud infrastructure, applications, containers, and Linux systems. Automate infrastructure with Terraform and Ansible, support DevOps deployments and patching, and integrate AI-driven automation and AIOps tools. Provide technical guidance, mentorship, and support to cloud engineers while improving operational efficiency and security.

Designs, simulates, implements, and validates control systems for highly integrated digital coherent optical modules. Evaluates optical and optoelectronic device and system designs for reliability and manufacturability across data center, metro, and long-haul applications. The role also involves photonic device characterization, optical validation testing, software development, and collaboration on next-generation multi-terabit fiber transmission systems.

Build and maintain full-stack features using Ruby on Rails and Vue.js, from database design through user interfaces. Develop APIs, background jobs, automated tests, and PostgreSQL queries; review code, troubleshoot production issues, and improve CI/CD pipelines. Collaborate with product, design, QA, and client stakeholders to scope and ship iterative releases. The role also involves dependency upgrades, technical-debt reduction, and responsible use of AI coding assistants.

Designs and maintains CI/CD pipelines, infrastructure automation, deployment processes, monitoring, and operational tooling for Java-based enterprise applications. Integrates automated testing, security scanning, vulnerability management, containerization, and secure credential practices. Collaborates with development, cybersecurity, database, QA, systems administration, and customer teams to deliver reliable releases and support compliance, hardening, patching, and continuous monitoring in a controlled environment.

Administer and optimize on-premises Appian environments across development, test, staging, and production. Responsibilities include configuration, deployments, upgrades, patching, monitoring, troubleshooting, access control, performance management, incident resolution, and operational documentation. The role supports Java enterprise applications in Linux environments and collaborates with developers, infrastructure, cybersecurity, database, release management, vendors, and federal customers.

Designs and advances enterprise data and AI architectures, including cloud platforms, data warehouses, lakehouses, machine learning, generative AI, integrations, and governance. Leads architecture standards, technical evaluations, proofs of concept, design reviews, troubleshooting, and implementation with engineering teams. Establishes data lineage, metadata, model governance, security, privacy, and compliance frameworks while advising executives on roadmaps, risks, trade-offs, and technology investments.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Supports and improves enterprise database platforms, primarily Oracle, through administration, monitoring, performance management, incident resolution, patching, backup and recovery, disaster recovery, and infrastructure changes. The role contributes to automation, migrations, cloud adoption, documentation, security, and continuous improvement while participating in an on-call rota. It requires production Oracle administration, RMAN expertise, Linux experience, and familiarity with incident, problem, and change management processes.