Top Remote Python Jobs in San Diego, CA

Provide senior-level ownership for AWS cloud platform operations, automation, and reliability. Support infrastructure provisioning, EKS/Kubernetes operations, EC2/AMI lifecycle, observability, incident response, patching, cost optimization, CI/CD automation, documentation, runbooks, and mentoring. Participate in on-call rotation, incident handling, and cross-team collaboration to ensure secure, scalable cloud operations.

Perform end-to-end, integration, system, user acceptance, and automated testing for software applications. Create test strategies, plans, documentation, and automated test cases; execute tests; assess results; and track defects through resolution. Translate business requirements into technical requirements, identify risks, troubleshoot application issues, and collaborate with engineering and development teams. Support product implementations, training, technical escalations, and quality assurance oversight across project workstreams.

Design, build, ship, and support mobile SDK features for iOS and Android developers. The role involves writing high-quality, tested code, contributing across platform and hybrid SDKs, reviewing code, improving reliability, shaping technical direction, mentoring engineers, and helping prioritize the product roadmap. Engineers will work closely with customers and contribute to RevenueCat’s developer-focused monetization platform.

Build and maintain scalable full-stack web application features and distributed microservices. Own complex features from design through deployment, improve application performance and reliability, support on-call operations, troubleshoot incidents, enhance CI/CD and container infrastructure, and collaborate with product, design, infrastructure, and API teams. Mentor engineers and contribute to technical standards while delivering customer-focused shipping and fulfillment experiences.

Own database reliability, scalability, and operational excellence across cloud and on-premises environments. Build automated Kubernetes-based database platforms, infrastructure tooling, failover and backup systems, and self-healing capabilities. Lead observability, performance optimization, capacity planning, incident response, and safe migration practices. Partner with application teams, leverage AI for operational improvements, mentor engineers, influence architecture, and drive technical strategy for highly available database infrastructure.

Build and operate backend APIs, a reusable integration platform, security-tool connectors, MCP capabilities, and event-driven services. Own GraphQL federation, permissions, multi-tenant access, reliability, observability, vendor API resilience, and production operations. Collaborate across engineering, product, and security teams while mentoring other engineers and contributing to technical standards.

Build and operate backend services for licensing, entitlements, provisioning, access control, multi-tenant administration, MSP/MSSP workflows, audit logging, and notifications. Design reliable cloud-native systems using Docker, Kubernetes, and relational databases, while contributing to observability, incident response, documentation, testing, and platform security. Collaborate across engineering, product, and design teams and mentor less experienced engineers.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

Build customer-embedded solutions for Origin’s AI observability platform. Investigate customer traces and operational data using SQL, ClickHouse, APIs, and MCP tools; develop dashboards, integrations, workflows, prototypes, and production code; lead technical discovery; and translate field insights into reusable product capabilities. The role requires close collaboration with enterprise engineers, security teams, AI platform teams, and executives, with travel of up to approximately 20%.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop and maintain Xactly Connect integration pipelines, transformations, schedules, and data exchanges. Partner with finance, sales compensation, accounting, sales, and IT stakeholders to define requirements. Troubleshoot data quality issues, failed jobs, mismatches, and pipeline errors before commission runs. Document configurations, mappings, and transformation logic while supporting continuous improvement.

Serve as a technical partner for utility customers across pre-sales discovery, implementation scoping, pilots, and end-to-end deployments. Build integrations with asset management, GIS, inspection, and reporting systems; develop reusable deployment tooling and AI agents; address security and architecture concerns; identify expansion opportunities; and translate recurring field needs into product improvements. The role is approximately 80% customer-facing and requires close collaboration with Sales, Product, Solutions, and Engineering.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

Design and implement tactical autonomy algorithms and high-performance software for unmanned air/land/sea platforms. Build behavior architectures, integrate classical and learning-based methods, run simulations and field tests, analyze mission data, and support defense programs and deployments.

Reviews and audits high-definition map datasets for accuracy, completeness, and safety-critical defects. Performs quality control on geospatial data derived from LiDAR, imagery, and vehicle sensors; documents and triages issues; defines QC metrics, sampling strategies, and repeatable workflows; collaborates with mapping engineers, autonomy teams, and vendors; analyzes defect trends; maintains procedures; and supports launch readiness for new corridors and operational domains.

Designs, develops, and leads scalable healthcare software solutions involving transaction processing, interoperability standards, integrations, and data platforms. Provides hands-on engineering, architectural leadership, quality ownership, risk management, technical mentorship, and cross-functional collaboration. The role requires building high-performance cloud-based SaaS solutions using microservices and serverless architectures, while guiding engineering strategy and ensuring secure, reliable delivery.

Build and maintain full-stack components for a maritime domain awareness platform supporting sonar and sonobuoy data. Responsibilities include developing frontend pages and real-time data feeds, designing PostgreSQL and Apache Iceberg data models, modifying MQTT and Redpanda pipelines, managing Dagster batch workflows, integrating machine learning algorithms, and improving development and CI/CD tooling. The role is remote and involves mission-critical defense technology.

Build and maintain full-stack applications for a maritime data management and AI platform. Responsibilities include developing frontend components, real-time WebGPU data feeds, PostgreSQL and Apache Iceberg data models, MQTT and Redpanda pipelines, Dagster batch workflows, machine learning integrations, and CI/CD tooling. The role supports mission-critical products used with U.S. Navy sonar and sonobuoy data.

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.

Build and scale full-stack applications using Ruby on Rails, React, PostgreSQL, Docker, Kubernetes, and Terraform. Design APIs, data architectures, synchronization systems, infrastructure, and CI/CD pipelines for secure, reliable operation in disconnected and low-bandwidth environments. Collaborate across engineering, business development, and mission teams while supporting critical defense and public safety operations.

Design and optimize large-scale GPU clusters spanning compute, networking, storage, and control planes. Model AI workload performance, architect InfiniBand and RoCEv2 interconnects, integrate high-performance storage, assess reliability and monitoring signals, and collaborate with infrastructure teams to operationalize architectures across data centers.