Top Remote Python Jobs in San Diego, CA

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.

Design, build, operate, and scale secure, reliable, cost-efficient cloud infrastructure across AWS and Azure. Develop infrastructure as code, support Kubernetes and microservice environments, collaborate with engineering teams, participate in on-call and incident response, automate operational toil, reduce technical debt, and improve platform reliability using AI-assisted development tools.

Design and deliver development infrastructure systems, maintain CI/CD tools and pipelines, improve GitHub Actions, Docker images, and deployment workflows, and resolve complex on-call issues. The role involves cloud-native engineering, distributed systems, containerization, microservices, generative AI workflows, code reviews, planning, and coaching other engineers.

Contribute to designing, developing, and operating scalable data platform infrastructure and services. Build tools that help engineering teams adopt data systems, automate infrastructure operations, improve reliability and performance, and apply GenAI to developer and operator experiences. Collaborate across engineering teams, solve distributed-systems challenges, and deliver projects end-to-end with guidance from senior engineers.

Lead architecture and hands-on development for cloud data optimization products and Stratusphere’s data platform. Diagnose and improve database, query, storage, networking, and workload performance across AWS, Azure, relational, analytical, search, and lakehouse systems. Build production services, integrations, testing, observability, and infrastructure automation while safely overseeing AI-assisted development. Partner with product teams, forward-deployed engineers, and customers to validate optimizations, document tradeoffs, and convert repeatable solutions into scalable platform capabilities.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.

Architect and deliver complex distributed systems using Azure cloud-native technologies, microservices, APIs, and event-driven patterns. Lead architecture reviews, reliability initiatives, performance optimization, incident response, and root-cause analysis. Drive adoption of AI-assisted development tools while maintaining security and code quality. Collaborate across engineering, DevOps, QA, and product teams, and mentor engineers on technical design, development practices, and AI-enabled workflows.

Design, build, and maintain cross-platform mobile applications and end-to-end web features. Implement front-end interfaces, back-end services and RESTful APIs, optimize databases, write tests and documentation, perform code reviews, and collaborate with UX, QA, and DevOps to deliver high-quality, secure, and performant solutions.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.

Design, develop, and operate highly scalable and resilient Azure VM Scale Set cloud services. Own features from architecture through deployment and operations, solve distributed-systems challenges at hyperscale, and drive reliability, security, performance, disaster recovery, testing, monitoring, automation, and engineering best practices. Collaborate across teams to deliver platform capabilities and customer outcomes.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Develop and execute verification strategies for complex hardware IP, subsystems, and full-chip designs supporting Azure cloud servers. Responsibilities include writing test cases, simulators, and device specifications; evaluating verification tools; reviewing silicon architecture; managing schedules and risks; coordinating with internal and external teams; and contributing to training and technical leadership.

The Integration Engineer will design and maintain healthcare data integrations, collaborating with teams to optimize performance and improve reliability using Python and various standards.

Provides technical leadership for a national optical transport network, defining architecture, roadmaps, capacity plans, service specifications, automation, telemetry, and infrastructure strategy. Designs and validates coherent DWDM and ROADM solutions, manages fiber and vendor relationships, supports deployment and 24x7 operations, resolves incidents, mentors engineers, and represents the organization in industry standards and research networking communities.

Develop and execute manual and automated tests, define test strategies and cases, build regression automation frameworks, track defects, and advocate for software quality. Collaborate with engineering and distributed cross-functional teams to deliver reliable mobile and digital products in a fast-moving startup environment.

Lead technical onboarding and enablement for contact center partners, architecting scalable Zendesk, Amazon Connect, and AWS solutions. Provide co-selling support, technical strategy, solution design, demonstrations, proof-of-concepts, training, documentation, governance, and mentorship. Collaborate with partners, sales, engineering, and vendors to drive successful implementations, security compliance, innovation, and adoption of AI, automation, and omnichannel contact center technologies.

Build and operate customer-facing cybersecurity product capabilities across backend services, APIs, and modern frontend applications. Own moderate-to-large projects from scoping through rollout, contribute to architecture and technical standards, write tested and maintainable code, and collaborate with Product, Design, and engineering teams. The role is approximately 80% backend and 20% frontend, with responsibilities including mentoring engineers, addressing technical risks, improving observability and reliability, and delivering scalable cloud-native systems.

Own end-to-end client support, troubleshoot production issues, monitor cloud environments, respond to incidents, automate operational tasks, and lead postmortems. Develop and execute manual and automated QA tests, maintain regression suites, integrate testing into CI/CD, and validate AI-powered features. Build documentation, collaborate with engineering and product teams, and improve reliability for regulated-industry clients.