Top Remote Python Jobs in San Diego, CA

The Prototype Engineer will integrate AI/ML capabilities into Higharc's products, develop tools for autonomous agents, and collaborate with research and product teams. Responsibilities include pushing prototypes to production and understanding homebuilding complexities.

As a Software & Data Engineer, you will design data pipelines, deploy AI tools, build data warehouses, and integrate systems for clients, ensuring data quality and performance.

You will manage AWS infrastructure, automate deployments, debug application issues, and improve the operational health of Metabase Cloud.

Design, build, operate, and evolve backend services and runtime infrastructure for cloud orchestration and job execution. Own distributed, asynchronous systems, APIs, workers, persistence, and service-to-service coordination. Improve reliability, observability, testing, and operational tooling; lead cross-team designs and mentor engineers.

Design, build, test, and maintain secure, scalable cloud-native full‑stack applications on Azure. Implement APIs, microservices, and AI-enabled features (LLMs, RAG, Azure OpenAI). Apply CI/CD, observability, secure SDLC, and mentor teammates while collaborating with product, architecture, DevOps, and security to deliver production-ready solutions.

Design, deploy, automate, and support Cloudera Data Platform clusters and Hadoop ecosystem services. Build Ansible automation and CI/CD for provisioning, configuration, patching, monitoring, security integrations (Kerberos/LDAP/TLS), capacity planning, disaster recovery, and on-call operations to support data ingestion, processing, and analytics workloads.

Design, implement, test, and maintain low-level embedded firmware for ARM Cortex-M systems. Debug hardware/software issues using lab equipment, develop Python host tools, support hardware bring-up, CI/CD and automated testing, resolve manufacturing and field issues, and participate in architecture, code reviews, and documentation.

Join a remote Strategic Projects engineering team to turn AI-native prototypes into production-grade services. You will harden demos (LLM gateways, proxies, sandboxes), implement observability, error handling, and security practices, work with reference customers on integrations, and ensure agent-generated code meets production review and operational standards.

Develop and own end-to-end, high-fidelity simulation frameworks for large multi-beam phased-array satellite communication systems. Model digital/hybrid beamforming, array performance, RF impairments, satellite geometry, and link budgets. Perform Monte Carlo and corner-case analysis, generate coverage/SINR maps, evaluate architecture tradeoffs, and translate results into antenna, RF, and digital implementation requirements. Collaborate with cross-functional teams and support correlation with hardware measurements and system testing.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Operate and harden Blitzy's self-hosted, Kubernetes-based AI platform inside customer-controlled secure cloud environments. Own deployments, upgrades, capacity planning, observability, incident response, and customer-facing technical coordination while championing security and feeding operational learnings back into the product roadmap.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Develop high-fidelity RGB and LWIR camera models and synthetic-data pipelines in Unreal Engine, stream sensor outputs to ROS 2, implement noise/artifacts and target injection, manage 3D asset pipelines, and optimize headless/real-time simulation for perception and Target State Estimation testing and CI/CD integration.

Design, develop, and deploy Python- and Java-based scalable REST APIs for a multi-tenant web platform. Collaborate with product, data science, and clinical partners, and ensure software quality, security, and engineering best practices.

Lead AWS-based SRE activities for products migrated from on-prem: ensure reliability, observability, automation, CI/CD (GitOps), Kubernetes/EKS operations, Terraform IAC, database/RDS administration, networking and security, and collaborate with development and platform teams to optimize SaaS operations.

Develop and execute test plans for SiGe ASICs and high-speed mixed-signal devices. Perform RF/mm-wave probing and characterization, troubleshoot electrical/RF/thermal/software issues, compare measurements with simulations, build bench hardware/software for characterization, qualify test stations (Gage R&R, SPC), document test solutions, and coordinate cross-functional test development schedules.

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

Build and own the GTM tech stack and integrations, create demo environments seeded with realistic data, embed AI agents into sales workflows, stand up revenue data infrastructure (pipeline, forecasting, attribution), and automate customer service flows. Partner closely with Sales, Marketing, Customer Success, and Product Engineering to measure adoption and impact.

Lead design and delivery of scalable, cloud-native healthcare systems and real-time data pipelines. Architect event-driven, batch/stream hybrid solutions, integrate clinical data standards, optimize performance and costs, mentor engineers, and collaborate with product and stakeholders to deploy resilient, compliant services.

Design and lead large-scale AWS migrations (rehost/replatform), architect cloud infrastructure and platforms, automate migrations with IaC and scripting, troubleshoot OS/database issues, and implement hybrid networking and security best practices.

Design, build, and maintain scalable web applications, APIs, and backend services across multiple stacks. Make architectural decisions, remediate technical debt, lead client communication and demos, participate in agile teams and code reviews, uphold testing and debugging practices, and contribute to internal best practices and thought leadership.

First dedicated QA hire responsible for test planning, building and maintaining automated test suites across a TypeScript+Python stack, integrating tests into CI/CD, running regression and performance tests, identifying and verifying bugs, improving observability, and documenting QA processes.

Design and build scalable, secure cloud-native backend systems in AWS. Implement event-driven architectures, async concurrent processing, data pipelines, serverless services, and REST APIs (Flask/FastAPI). Ensure performance, caching, testing, debugging, and cloud security (IAM, encryption, authentication).

Lead design and hands-on delivery of cloud-first solutions on Microsoft Azure and related platforms. Translate stakeholder requirements into architecture patterns, document designs, mentor teams, build POCs, migrate legacy apps, and apply AI responsibly to improve delivery and quality.