Top Remote Python Jobs in San Diego, CA

Leads a backend engineering team responsible for scalable, reliable systems. Balances people management, technical direction, architecture, and execution; hires, coaches, and develops engineers; guides complex initiatives from design through production; and partners with Product and Engineering stakeholders to improve system reliability, performance, maintainability, and team productivity.

Architects, develops, and operates scalable microservices and policy platforms for real-time decisioning. Designs evolving database schemas, versioned APIs, and high-throughput services; integrates deterministic enterprise rules engines; and applies AI-assisted engineering tools. Builds automated tests, observability, reliability, governance, auditability, and compliance capabilities. Collaborates with platform, data, and machine learning teams, participates in architecture reviews, mentors engineers, and establishes technical standards.

Maintain and improve a complex healthcare platform spanning rules engines, applications, orchestration, event streaming, and data pipelines. Diagnose production issues, improve reliability, observability, performance, and scalability, implement focused features, write tests, participate in reviews, support on-call incident response, and lead root-cause analysis. Collaborate with delivery and decision intelligence teams to assume long-term ownership of platform components.

Leads cross-team software delivery and technical direction across Alkami’s digital banking platform. Designs scalable architectures, secure APIs, microservices, integrations, and data contracts; writes and reviews production code; improves reliability, performance, observability, testing, and CI/CD; manages technical dependencies and tradeoffs; mentors engineers; leads incident response and root-cause analysis; and partners with product, security, architecture, data, and site reliability teams.

Designs and maintains network automation, Infrastructure as Code, configuration management, orchestration, and compliance solutions across enterprise and data center environments. Integrates networks with monitoring, CMDB, ITSM, and source-of-truth platforms; develops reusable frameworks, workflows, and libraries; mentors technical teams; supports DevOps, troubleshooting, documentation, and continuous improvement. The role also contributes to technical standards, cross-functional projects, planning sessions, site visits, and vendor engagements.

Leads full-stack software design, development, architecture, testing, and deployment for custom applications and enterprise integrations supporting order management and procurement. Provides technical direction, mentors developers, enforces coding standards, manages risks, and drives engineering process improvements. Partners with architecture, delivery leadership, and business stakeholders to translate needs into scalable solutions. Uses AI-assisted development tools responsibly to improve productivity, quality, testing, and documentation while contributing hands-on to complex front-end and back-end work.

Build and maintain full-stack wealth management platform features using Python and Angular or React. Design service-oriented architectures and REST/SOAP APIs, work with relational databases and ORMs, contribute to AWS or Azure cloud architecture, and deploy using container technologies. Collaborate in Agile/Scrum ceremonies, participate in code reviews and demos, and work independently with distributed teams.

Contribute to ASIC and SoC digital-block design and verification using Verilog, SystemVerilog, and UVM. Support test planning, coverage closure, assertions, protocol monitors, scoreboards, CDC/RDC/LINT checks, external IP integration, formal verification, and RTL/testbench debugging. Document design intent and verification results while collaborating with senior engineers. The role is intended for early-career engineers with relevant electrical or computer engineering education and project or coursework experience.

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Leads onsite technical deployments of NVIDIA AI datacenter systems, integrating GPU, networking, and storage infrastructure. Troubleshoots complex hardware and deployment issues, supports cloud partners and enterprise customers, advises sales teams, and defines system architectures. Requires customer-facing technical leadership, datacenter expertise, networking knowledge, and deployment experience, with travel up to 50%.

Designs, deploys, maintains, and tunes large-scale HPC and AI clusters. Responsibilities include workload scheduling, infrastructure automation, CI/CD pipelines, monitoring, logging, alerting, storage and networking deployment, bottom-up troubleshooting, methodology documentation, and R&D support. The engineer works across hardware, operating systems, GPU computing, virtualization, cloud platforms, and software stacks to deliver performant, reliable self-service infrastructure.

The role involves validating clocking structures in products, developing test plans, automation, and partnering with design teams to ensure high-quality verification of ASIC designs.

Designs, implements, and supports secure, scalable AWS and Azure infrastructure. Develops reusable Terraform and Ansible automation, CI/CD capabilities, and cloud infrastructure services. Configures cloud compute, storage, networking, databases, identity, security, monitoring, and backup solutions. Troubleshoots infrastructure and hosting issues, maintains technical and compliance documentation, and collaborates with customers and engineering teams using Agile and DevOps practices.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Owns full-stack engineering, cloud infrastructure, reliability, cost governance, legacy-to-cloud migration, and AI-assisted development for a multi-tenant ERP platform. Leads engineering, QA, contractors, release governance, customer go-lives, vendor evaluation, and executive reporting. The role requires deep TypeScript/Node and React expertise, financial-system correctness, Azure or AWS architecture, ETL and data reconciliation, CI/CD, incident response, SaaS security, and pragmatic maintenance of Java/Spring and VB6 legacy systems.

Design, build, and maintain scalable E2E automation frameworks for web applications and APIs using Playwright or Selenium. Integrate Claude or other LLMs for self-healing tests, UI validation, and test data generation. Optimize QA workflows, manage defects and regression suites in Linear, integrate tests into CI/CD pipelines, and collaborate with engineering, product, and data science teams. Mentor engineers and lead quality initiatives in an Agile environment.

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.

Designs, deploys, secures, and operates enterprise and service-provider networks across on-premises, colocation, and cloud environments. Manages routing, switching, peering, addressing, firewalls, VPNs, monitoring, automation, capacity planning, and incident response. Maintains documentation and compliance evidence, serves as a technical escalation point, mentors junior engineers, and works directly with customers. The role is remote, includes occasional travel, and requires on-call and after-hours maintenance participation.

Architects and develops secure, high-performance distributed applications, APIs, microservices, and data pipelines on AWS. Leads application architecture, cloud infrastructure, data governance, testing automation, CI/CD, security, performance optimization, and technical modernization. Coordinates complex project lifecycles, manages risks and schedules, advises management, resolves cross-functional technology issues, documents systems, and mentors junior engineers in a financial services environment.

Leads and coaches an engineering team building secure, full-stack account management and identity services. Responsibilities include architecting reliable frontend and backend systems, setting technical roadmaps, applying security practices, evaluating AI and platform technologies, managing migrations, hiring and mentoring engineers, and improving team productivity and growth.

Build and maintain cloud infrastructure, automation, configuration management, and CI/CD pipelines. Operate Kubernetes, Helm, and Docker workloads across multiple public clouds; configure observability tooling; troubleshoot production systems spanning networking, databases, serverless functions, and caching; and participate in a 24/7 on-call rotation. The role also involves owning infrastructure projects end to end and collaborating across engineering and product teams.

Design and maintain automated testing frameworks for web, iOS, and Android fitness applications. Integrate tests into CI/CD pipelines, build API coverage, test GPS and location features through simulation and sensor mocking, and use AI tools to improve QA workflows. Perform targeted exploratory testing, document defects, collaborate cross-functionally, estimate QA work, and advocate for quality throughout development.

Design, develop, operate, and improve Netflix’s internet-scale managed compute infrastructure. The role involves building distributed systems and Kubernetes-based services, balancing customer usability with reliability, scalability, and cost efficiency. Responsibilities include collaborating with Product and stakeholders, leading cross-functional infrastructure initiatives, mentoring engineers, maintaining operational excellence, improving incident response and on-call practices, and evaluating emerging cloud and compute technologies.

Implements and maintains GCP cloud infrastructure, builds automation, troubleshoots infrastructure and observability issues, supports incident response, and improves scalability, security, availability, monitoring, and compliance. Collaborates across technology and business teams on workflow automation and participates in on-call rotations, outage response, documentation, metrics, and sprint processes.

Build and maintain full-stack software products across frontend, backend, data, and AI layers. Own product architecture, deployment, observability, reliability, and maintenance; establish unified data models, secure access controls, AI guardrails, and engineering standards. Collaborate directly with non-engineering users to create self-service workflows and translate ambiguous needs into practical solutions. Ship production LLM-powered systems and support governed data transformation, quality, lineage, and testing.