# Software Engineer, Infrastructure

**Company:** [Datology AI](https://hotfix.jobs/companies/datology-ai)
**Location:** Redwood City, CA
**Role:** DevOps / SRE
**Salary:** $180k – $300k/yr
**Skills:** Kubernetes, Terraform, Python, Bash, AWS, Azure, GCP, ML Infrastructure, Data Infrastructure, Debugging
**Posted:** 2025-03-20

> Builds scalable data and ML infrastructure supporting multi-cloud and deployment models. Partners with founders and engineers on core platforms, tooling, and research features for reliable production systems.

## Job Description

## What You'll Work On
- Design and build the development and production platforms that power our products, enabling reliability and security at scale
- Architect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment models
- Accelerate company productivity by empowering your fellow engineers & teammates with excellent tooling and systems, providing a best-in-case experience
- Partner with researchers and engineers to bring new features and research capabilities to our customers

## About You
- Have meaningful experience in spearheading and constructing large-scale infrastructure
- Proficiency in **bash**, **Kubernetes**, **Python**, and/or **Terraform** or similar technologies
- Have experience working with **AWS**, other cloud platforms such as **Azure** or **GCP** and/or on-prem environments
- Have expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks
- Take pride in building and operating scalable, reliable, secure systems
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
- Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done

## We would love it if you had
- Built out data infrastructure from, or nearly from, scratch at a fast-growing startup
- Experience building **ML/DL infrastructure** and/or data infrastructure that feeds into training large ML models

## Compensation
- Base salary: **$180,000 to $300,000**
- Significant equity
- 100% covered health benefits (medical, vision, and dental)
- 401(k) with 4% company match
- Unlimited PTO
- Annual $2,000 wellness stipend
- Annual $1,000 learning stipend
- Daily lunches and snacks
- Relocation assistance

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**Apply:** https://hotfix.jobs/jobs/a53b4e24-aca8-47c5-9851-6ce620fcd361
**Canonical:** https://hotfix.jobs/jobs/a53b4e24-aca8-47c5-9851-6ce620fcd361