Senior DevOps & Cloud Platform Engineer

UMATR; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

UMATR is seeking a Senior DevOps Engineer to own the deployment, upgrades, and operation of the platform across cloud and customer-hosted environments. You will work on systems handling large data volumes with emphasis on efficiency, observability, security, and reliability.

The role is hands-on with significant ownership in a lean engineering team, shaping the platform through decisive actions and scalable cloud practices.

Qualifications

• 5+ years of experience in DevOps, SRE, Infrastructure, or Platform Engineering.
• Deep hands-on experience with a major cloud provider, IAM, VPC, networking, container services, serverless, and object storage.
• Strong production experience with Infrastructure as Code, ideally Pulumi, Terraform, or CDK.
• Proven experience owning CI/CD end to end.
• Solid understanding of cloud security, least-privilege access, and multi-account environments.
• Experience operating reliable infrastructure at meaningful scale.
• Strong observability, incident response, uptime, and cost optimization mindset.
• Comfortable writing TypeScript and working with infrastructure tooling.

Responsibilities

• Own cloud infrastructure and deployment processes across environments, accounts, and regions.
• Build and maintain infrastructure-as-code using Pulumi, Terraform, or similar.
• Manage cloud infrastructure across IAM, VPC, networking, container services, serverless, and storage.
• Own CI/CD pipelines from development through production deployment.
• Design secure cloud architectures with least-privilege and enterprise security practices.
• Implement private networking, cross-account access, and scoped permissions.

Skills

DevOps

SRE

Infrastructure

Platform engineering

Observability

Tools

Pulumi

Terraform

CDK

CI/CD

Job description

UMATR is seeking a Senior DevOps Engineer to own the deployment, upgrades, and operation of the platform across cloud and customer-hosted environments. You will work on systems handling large data volumes with emphasis on efficiency, observability, security, and reliability.

The role is hands-on with significant ownership in a lean engineering team, shaping the platform through decisive actions and scalable cloud practices.