
Software Engineer, Cloud Infrastructure
DatologyAI9 months ago
San Mateo, CA, USAMid Level
Base Salary
$180k - $300k/yr
Responsibilities
- Architect and maintain secure, reliable, scalable multi-cloud infrastructure, primarily on AWS and potentially Azure and GCP.
- Define and implement infrastructure-as-code practices using Terraform, CloudFormation, Pulumi, and similar technologies.
- Design and manage Kubernetes systems for model training, inference, and data processing workloads.
- Optimize deployment pipelines and service deployments across environments.
- Build monitoring, alerting, and logging systems for availability and observability.
- Support research and engineering teams running large-scale ML training workloads.
- Enable cloud, on-premises, and hybrid deployment models for enterprise customers.
- Drive compute and storage cost-efficiency strategies.
- Respond to and resolve infrastructure incidents with ownership and urgency.
Requirements
- 4+ years of relevant experience.
- Experience leading or helping build robust infrastructure systems at a startup or fast-moving engineering organization.
- Deep experience with cloud providers, especially AWS, with multi-cloud or hybrid-cloud exposure preferred.
- Strong experience with Kubernetes, Terraform, and containerized architectures.
- Ability to debug networking issues, memory leaks, resource bottlenecks, and other systems-level problems.
- Ability to write clean, maintainable scripts in Bash, Python, or Go.
- Experience supporting ML infrastructure, training pipelines, inference clusters, GPU orchestration, or large-scale datasets is a plus.
- Exposure to cloud cost monitoring and optimization tools is a plus.
- Background supporting compliance and security in enterprise deployments is a plus.
Benefits
- 100% covered medical, vision, and dental benefits.
- 401(k) plan with a 4% company match.
- Unlimited paid time off.
- 12 weeks of paid parental leave plus six months of work-from-home flexibility.
- Annual $2,000 wellness stipend.
- Annual $1,000 learning and development stipend.
- Daily office lunches and snacks.
- Relocation assistance for employees moving to the Bay Area.
- Based in San Mateo, California, with four days per week in the office.
Tech Stack
Categories
About DatologyAI
DatologyAI builds software that automatically curates and selects training data for deep learning, removing redundant or harmful examples across text, image, and other modalities. Its data-curation suite helps ML teams train better models with fewer labels and lower compute by optimizing large, unlabeled datasets. Founded in 2023 and headquartered in Redwood City, California, the privately held company sells its tools to organizations building large-scale AI systems across industries.