Top Remote Python Jobs in San Diego, CA

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Build and maintain CI/CD pipelines, cloud infrastructure, Terraform automation, database systems, monitoring, and observability on Google Cloud. Support reliability, security, compliance, incident response, and shared on-call operations while applying backend engineering expertise to production services. The role manages PostgreSQL, Redis, BigQuery, Bigtable, and Firestore environments and contributes to disaster recovery and operational tooling.

Design, deploy, and maintain scalable AWS data and document-processing pipelines and production ML platforms. Build containerized workloads, automate infrastructure with Python and infrastructure-as-code, implement CI/CD, and manage security, networking, databases, monitoring, and observability. Operate GPU and CPU workloads, integrate generative AI and ML inference, resolve production incidents, optimize cost and performance, and collaborate with application, DevOps, data, infrastructure, and client teams.

Lead architecture for cloud networking and security solutions involving DPUs and NICs. Design end-to-end systems from application to hardware, define architecture specifications, evaluate technologies, develop proof-of-concept prototypes, and collaborate with global software, hardware, product, engineering, and customer teams. The role requires strong C and Python development, Linux, networking protocols, cloud technologies, and systems architecture expertise.

Architect and build Tagup’s core platform for ingesting, processing, and acting on billions of physical-world data points. Develop high-performance REST APIs, microservices, scalable ETL pipelines, AI-agent data systems, and cloud infrastructure. Own architectural domains spanning API design, data modeling, deployment, monitoring, and automated CI/CD. Ensure high availability, mentor junior engineers, and establish strong engineering standards while collaborating with data scientists and defense-focused operators.

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Develop and operate highly scalable backend systems and AWS infrastructure. Responsibilities include maintaining Python HTTP services, working with DynamoDB, Elasticsearch, and Redis, provisioning cloud resources through infrastructure as code, reasoning about distributed systems, and owning software from design through monitoring. The role also focuses on reliability, security, performance, cost optimization, observability, technical roadmaps, and collaboration with engineering and product stakeholders.

Build and own Alkami’s next-generation sales demo tooling across front-end and back-end systems. Partner with Sales Engineering, Sales Leadership, Product, and Engineering to identify gaps, develop API- and SDK-based tools, evaluate technical stacks, and improve sales win rates. Provide technical expertise during complex financial-services deals, coach Sales Engineers, communicate technical value to senior stakeholders, and champion AI-assisted development workflows.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

Leads platform incident investigations, coordinates detection and resolution, performs root cause analyses, and designs customer-focused monitoring, alerting, and observability workflows. Builds automation, improves platform reliability, mentors engineers, and participates in on-call rotations. The role requires cloud, container orchestration, monitoring, logging, alerting, incident management, and production automation expertise.

Designs, develops, and supports enterprise-scale ETL/ELT pipelines and data warehouse solutions using Ab Initio, Snowflake, Azure, SQL, Python, and shell scripting. Responsibilities include metadata and lineage management, dimensional and Data Vault modeling, data quality validation, CI/CD, production troubleshooting, and batch, real-time, file-based, and API integrations. The role supports healthcare data domains such as claims, membership, providers, health plans, and benefits.

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.

Own portfolio-wide data center network architecture, structured cabling, security, OT segmentation, colocation connectivity, commissioning, and production operations. Design standards and construction specifications, review contractor work, manage monitoring, changes, capacity, incidents, and documentation, and serve as the escalation point for live-site network issues. The remote role requires heavy travel to active construction and commissioning sites.

Lead full-stack growth engineering across eligibility, identity, access, client configuration, and reporting systems. Build Python-based GraphQL and REST APIs, React and React Native experiences, scalable database systems, and secure HIPAA- and GDPR-compliant solutions. Own ambiguous cross-domain technical projects, write RFCs, coordinate roadmap delivery, mentor engineers, contribute to engineering strategy, and participate in on-call operations and remediation.

Build and maintain scalable microservices, APIs, and responsive React/TypeScript UIs for a modular security-operations platform. Integrate sensors and devices, implement real-time features (WebSockets, Kafka), design data models, participate in CI/CD, code reviews, sprint planning, and optimize full-stack features in a DevOps environment.

Build and operate scalable AWS cloud infrastructure using Terraform and infrastructure-as-code best practices. Develop enterprise cloud solutions focused on security, resilience, performance, and availability. Automate CI/CD pipelines using GitOps, ArgoCD, GitHub Actions, and Azure DevOps. Manage Kubernetes, service mesh, serverless applications, patching, upgrades, and infrastructure operations while collaborating with engineering, architecture, security, and customer teams.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Own the reliability, performance, availability, scalability, and cost efficiency of production Aurora MySQL databases on AWS. Responsibilities include observability, alerting, query optimization, replication, backups, disaster recovery, schema migrations, reader topology, cost optimization, runbooks, incident response, and database performance reviews. The role partners with engineering teams, supports HIPAA-compliant handling of PHI, and establishes reliable database operating practices.

Develop and implement embedded device and system software, analyze system efficiency and stability, optimize I/O performance, support software quality assurance, and code, test, and troubleshoot low-level software. The internship provides hands-on engineering experience, mentorship, and professional development. Candidates must be pursuing a relevant engineering or computer science degree and remain enrolled after the internship.

Leads the design, automation, deployment, and optimization of secure hybrid and multi-cloud infrastructure across AWS, Azure, and GCP. Develops Terraform modules and CI/CD pipelines, executes cloud migrations, implements networking and security controls, troubleshoots infrastructure, and optimizes performance and cost. Conducts infrastructure assessments, creates technical documentation, collaborates with architects and project managers, mentors engineers, and supports enterprise modernization initiatives.

Own the architecture, development, and maintenance of Nebulock’s customer-facing security platform across the full stack. Build product experiences including threat intelligence and detection query tools, improve scalability and maintainability, establish engineering standards, shape the technical roadmap, collaborate across product and security teams, and mentor engineers.

Develop and maintain secure full-stack web applications, APIs, integrations, databases, and production infrastructure. Rapidly prototype with AI-assisted development tools, then audit, refactor, test, secure, deploy, and monitor the resulting software. Integrate healthcare, CRM, billing, communications, and enterprise systems while protecting PHI and supporting HIPAA safeguards. Collaborate with executives, analysts, vendors, and operational teams to translate business needs into maintainable technical solutions, troubleshoot incidents, and continuously improve reliability and delivery speed.

Develop and implement embedded software and systems, analyze system efficiency and stability, optimize I/O performance, and support software quality assurance. Responsibilities include coding, testing, troubleshooting, monitoring, and working closely with hardware. The internship offers hands-on experience, mentorship, professional development, relocation benefits, and short-term housing for eligible interns.