Software Engineer – Generalist​/Systems

Location:

Downtown Boulder, Colorado (on-site / hybrid — local candidates only)

Experience:

0–3 years professional experience
Team:
Engineering

We’re looking for a curious, hands‑on software engineer who thrives when wearing many hats. You'll be the person who'll debug a flaky Linux box in the morning, ship a Python service by lunch, and help reason through a tricky data problem in the afternoon. This role sits at the intersection of software engineering and systems/infrastructure work, so you should be as comfortable in a terminal as you are in an IDE.

This is an excellent opportunity for someone early in their career who wants broad exposure across the stack and a strong foundation in systems thinking, rather than narrow specialization.

• Maintain, monitor, and improve our Linux-based server and development infrastructure
• Write and ship internal tools, scripts, and services (primarily Python, Bash, and one compiled language of your choice — Go, Rust, or C++)
• Own deployments, CI/CD pipelines, and day-to-day Dev Ops tasks
• Troubleshoot production issues end‑to‑end: networking, OS, application, and data layer
• Automate for efficiency so we can all work on cool stuff
• Collaborate with engineers, analysts, and researchers to understand their workflows and build tooling that unblocks them
• Document what you do well enough that the next person (or future‑you) will thank you

• 0–3 years of professional software experience (internships, co‑ops, and substantial personal projects count)
• Strong comfort with Linux systems administration: shell scripting, systemd, permissions, networking basics, package management, SSH
• Solid programming fundamentals in at least one language (Python preferred) and willingness to learn others
• Familiarity with Git, basic cloud concepts (AWS, GCP, or Azure), and containerization (Docker)
• Good written and verbal communication — you can explain a technical issue clearly to someone who isn't in the weeds
• Based in Boulder or the immediate front range; able to be on‑site regularly
• A generalist mindset: you'd rather be 'pretty good at a lot' than 'world‑class at one narrow thing'

• Academic or personal background in mathematics, physics, engineering, or a similarly quantitative field
• Exposure to financial concepts, markets, or quantitative finance (coursework, projects, or hobby interest all welcome)
• Experience with monitoring/observability stacks (Prometheus, Grafana, ELK, etc.)
• Networking chops beyond the basics (VPNs, firewalls, DNS troubleshooting)
• Comfort with databases (Postgres especially) and basic query tuning
• Contributions to open‑source projects or a visible Git Hub presence

• Competitive salary ($85,000 - $105,000 depending on experience) and equity
• Health, dental, and vision coverage
• 401(k) with company match
• Flexible PTO
• Professional development budget (books, courses, conferences)
• A team that values craftsmanship, curiosity, and low‑ego collaboration
• Spacious office on Pearl Steet near Avanti

• Send a résumé and a short note (a paragraph is fine) about a system you've built, broken, or fixed that you're proud of to info.
• Links to Git Hub, personal sites, or writeups are encouraged in lieu of a cover letter.

We're an equal opportunity employer and welcome applicants from all backgrounds.