Quant Developer (QD) in San Francisco, California at Algert Global

We are looking for a pragmatic, systems-focused Quantitative Developer to join our team. Reporting directly to a Senior PM Partner, you will own the infrastructure and deployment pipelines that power our investment process. This is a role for a "pragmatic innovator"—someone who respects the reliability of our existing stack but has the drive to modernize it for the next phase of growth.

You will manage a heterogeneous environment of on-prem and cloud resources, bridging the gap between sophisticated Python research and a robust SQL Server backbone. We aren’t looking for someone to chase trends; we need a developer who can make a complex, real-world system more invisible and efficient for the research team.

What You’ll Do:

• Systems Ownership: Take the lead on our Python repository management and CI/CD workflows. Your goal is to eliminate friction, making it seamless for the team to move new research into production.
• database and pipeline: Support SQL Server within a modern CI/CD process, including managing backups, high availability (HA), and performance troubleshooting for our production datasets.
• Infrastructure as Code: Manage and extend our Ansible and Terraform repositories to handle a mix of Windows and Linux environments
• Core Services: Support research usage and CI/CD via our on-prem Nexus container registry and PyPI server, or suggest and lead the implementation of cloud-first alternatives.
• HPC Support: Provide dedicated high-performance computing (HPC) support for seven senior Quantitative Researchers, ensuring their research and simulation environments are stable and optimized.
• Agentic Integration: Help the team integrate and manage agentic harnesses (e.g., Claude Code) to accelerate development, while proactively managing the associated security and data privacy concerns.

Required Experience

• Minimum 4 years of experience, with at least 1 year in a quantitative environment (e.g., GSAM, BlackRock, Citadel, or a pod shop).

The Stack

• Strong Python backend skills and experience with agentic AI tools or harnesses for code generation and refactoring.
• Hands-on proficiency with Ansible, Terraform, and Docker
• Comfort navigating and automating both Linux and Windows environments
• Experience using storage arrays (e.g., Pure) to automate the provisioning of dev/test environments from storage snapshots.

The Mindset: You enjoy the challenge of tech debt and the satisfaction of incremental modernization. You want a high-impact role with a direct line to leadership and a genuine work-life balance.

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The 3 & 6 Month Integration Plan

Phase 1: Integration & Foundation (Months 1–3)
Architectural Deep Dive: Map the full dependency chain from our on-prem registries to the SQL production environment. Identify the "why" behind current technical bottlenecks.
CI/CD Ownership:bbBecome the primary contributor for repo management. Start identifying and fixing the specific bottlenecks that slow down the QR-to-production pipeline.
Alpha-Gen Orchestration:bb Become the primary owner of orchestration for alpha-generation using Airflow and our integrated Python/SQL repository.
HPC Onboarding:bb Establish a feedback loop with the seven senior QRs to understand their current compute pain points and stabilize their simulation workflows.

Phase 2: Evolution & Impact (Months 4–6)
SQL Workload Separation:bb Lead the initiative to migrate non-production jobs off the production SQL Server, reclaiming performance for core research tasks.
Agentic Workflows:bb Formalize the security and usage standards for agentic harnesses like Claude Code, helping the research team safely 10x their iteration speed.
*Resilience Representation:bb Represent the Research and PM team in designing, testing, and managing the DR/BCP processes to ensure our alpha-gen capabilities are bulletproof.
Snapshot Automation:bb Implement storage-level snapshot automation into our Ansible/Terraform workflows to allow QRs to spin up production-identical dev environments in minutes.