# Software Engineer, Cloud Infrastructure

**Company:** [Datology AI](https://hotfix.jobs/companies/datology-ai)
**Location:** Redwood City, CA
**Role:** DevOps / SRE
**Salary:** $180k – $300k/yr
**Skills:** AWS, Kubernetes, Terraform, CI/CD, Python, Go, Bash, CloudFormation, Pulumi, GPU
**Posted:** 2026-01-29

> Designs, builds, and operates scalable multi-cloud infrastructure powering ML training, inference, and data curation pipelines. Collaborates with teams on AWS-focused systems using Kubernetes and IaC tools like Terraform.

## Job Description

## What You'll Work On

- Architect and maintain our multi-cloud infrastructure (primarily AWS, potentially Azure/GCP), with a focus on reliability, security, and scalability
- Define and implement infrastructure-as-code best practices using **Terraform**, **CloudFormation**, **Pulumi** (and similar technologies)
- Design and manage **Kubernetes**-based systems for model training, inference, and data processing workloads
- Optimize our **CI/CD** pipelines and streamline deployment of services across environments
- Build monitoring, alerting, and logging systems to ensure high system availability and observability
- Collaborate with research and engineering teams to provide infrastructure support for training large-scale ML models
- Ensure our infrastructure supports various deployment models (cloud, on-prem, hybrid) for enterprise use cases
- Drive cost-efficiency strategies across compute and storage resources
- Respond to and resolve infrastructure-related incidents with a sense of ownership and urgency

## About You

- You've led or helped build robust infrastructure systems at a startup or fast-moving engineering organization
- Deep experience working with cloud providers (especially **AWS**), and ideally exposure to multi-cloud or hybrid-cloud setups
- Strong with **Kubernetes**, **Terraform**, and containerized architectures
- Confident with systems-level debugging—networking issues, memory leaks, resource bottlenecks, etc.
- Comfortable writing clean, maintainable scripts in **Bash**, **Python**, or **Go**
- You care deeply about building secure and scalable systems and take pride in reliable infrastructure
- You're collaborative, humble, and ready to own high-impact projects end-to-end

## Nice to Have

- Experience supporting infrastructure for ML workloads (training pipelines, inference clusters, **GPU** orchestration)
- Built or scaled infrastructure for teams working with large-scale datasets
- Exposure to cost monitoring and optimization tools in cloud environments
- Background supporting compliance and security in enterprise deployments

## Compensation

Salary ranges from **$180,000 to $300,000**.

Comprehensive benefits: 100% covered health benefits, 401(k) with 4% match, unlimited PTO, wellness and learning stipends, daily lunches/snacks, relocation assistance.

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**Apply:** https://hotfix.jobs/jobs/a3d4b055-d7b3-4844-8cfc-07a8e38d59a0
**Canonical:** https://hotfix.jobs/jobs/a3d4b055-d7b3-4844-8cfc-07a8e38d59a0