Harrison Clarke

www.harrisonclarke.com

3 Jobs

6 Employees

About the Company

Harrison Clarke is the Leading Cloud, Data & AI Staffing & Recruiting Firm! We partner with Tier 1 Venture Capital firms to help portfolio companies from seed round to Fortune 500 build and grow with the top 1% world class engineering talent in this space.

Listed Jobs

Company Name: Harrison Clarke
Job Title: Data Scientist
Job Description: **Job Title:** Data Scientist **Role Summary:** Analyze large, heterogeneous datasets to uncover insights on company and market performance; apply statistical, machine learning, and AI techniques to address investment and strategic questions; collaborate with senior stakeholders to frame hypotheses and communicate findings that shape long‑term decision‑making. **Expectations:** - Deliver high‑impact, hypothesis‑driven analyses that influence senior decision‑makers. - Operate independently through end‑to‑end problem framing, analytical execution, and executive storytelling. - Demonstrate fluency in turning raw, unstructured data into actionable intelligence. **Key Responsibilities:** - Clean, transform, and analyze messy, alternative datasets to extract insights. - Design and implement statistical models, machine learning pipelines, and AI solutions for portfolio and strategy evaluation. - Partner with senior leaders to define research questions, test hypotheses, and present results in clear, concise narratives. - Advise on data and AI practices that support strategic planning and long‑term investment decisions. **Required Skills:** - Proficiency in Python/R, SQL, and data‑wrangling libraries (pandas, dplyr, etc.). - Strong foundation in statistical methods, machine learning, and AI techniques. - Experience with large, heterogeneous data sources (alternative data, market feeds, etc.). - Excellent communication skills for storytelling to executive audiences. - Ability to navigate ambiguous problem spaces and work closely with senior stakeholders. **Required Education & Certifications:** - Bachelor’s degree (or higher) in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or related field. - Professional certification in data analytics, machine learning, or AI (e.g., Google Cloud Professional Data Engineer, SAS Certified Advanced Analytics Professional) is advantageous.

Menlo park, United states

Hybrid

26-01-2026

Company Name: Harrison Clarke
Job Title: Infrastructure Engineer
Job Description: Job title: Infrastructure Engineer Role Summary: Own and evolve Kubernetes platform and cloud infrastructure to support fast, reliable, cost‑efficient scaling of services. Drive automation, reliability, observability, and security across the stack. Expactations: - Deliver production‑grade Kubernetes clusters. - Own IaC, CI/CD pipelines, and release processes. - Champion reliability, performance, and cost control. - Actively manage incident response and post‑mortem culture. Key Responsibilities: - Design, upgrade, and maintain Kubernetes clusters (autoscaling, networking, policies). - Build and maintain IaC (Terraform, Pulumi, CloudFormation). - Improve CI/CD with progressive delivery, rollbacks, and guardrails. - Implement observability stacks (metrics, logs, alerts) and lead incident investigations. - Perform capacity planning, right‑sizing, and cloud spend analysis. - Strengthen security: IAM, secrets, image hardening, runtime policies. - Support production DB operations (backups, migrations, tuning). Required Skills: - Hands‑on Kubernetes cluster management in production. - IaC experience (Terraform, Pulumi, or CloudFormation). - CI/CD design and resilience practices. - Linux, networking fundamentals, distributed system debugging. - Automation scripting (Python, Go, Bash). - Cloud platform proficiency (AWS, GCP, or Azure). Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Relevant certifications (e.g., AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect) are a plus.

San francisco bay, United states

Hybrid

28-01-2026

Company Name: Harrison Clarke
Job Title: Artificial Intelligence Engineer
Job Description: **Job Title:** Artificial Intelligence Engineer **Role Summary:** Design, build, and operate a scalable, cloud‑native infrastructure that powers low‑latency, high‑throughput AI inference and model serving pipelines. Own end‑to‑end stack from GPU orchestration and Kubernetes to networking, observability, and distributed systems architecture, ensuring reliability, performance, and cost efficiency. **Expectations:** Deliver production‑ready, globally distributed AI workloads; establish best practices and automation for GPU management, CI/CD, and observability. Drive trade‑offs between performance, reliability, and cost, and collaborate closely with ML engineers to productionize models. **Key Responsibilities:** - Architect and scale infrastructure for low‑latency AI inference. - Orchestrate GPUs and manage multi‑tenant workloads using Kubernetes and service mesh. - Build and operate core systems: IaC, observability, distributed storage, networking. - Implement cross‑platform capabilities: authentication, rate limiting, monitoring, telemetry. - Define infrastructure roadmap and balance performance, reliability, and cost. - Partner with ML engineers to optimize model serving pipelines. **Required Skills:** - Deep expertise in Kubernetes at scale, GPU orchestration, and cloud‑native automation. - Experience designing highly available, globally distributed systems and traffic routing. - Proficiency with infrastructure‑as‑code, CI/CD pipelines, and observability tooling. - Solid understanding of distributed systems, performance optimization, and cost management. - Familiarity with ML inference frameworks (e.g., Triton, ONNX Runtime, vLLM, TensorRT). - Strong grasp of cloud security and data management for production AI workloads. - Entrepreneurial mindset; self‑driven in fast‑paced environments. **Required Education & Certifications:** - Bachelor’s (or higher) in Computer Science, Engineering, or related field. - Certifications in Kubernetes (CKA/CKAD) and cloud platforms (AWS/GCP/Azure) preferred.

San francisco bay, United states

Hybrid

23-02-2026