As a Senior DevOps Engineer you will be deeply involved in various high-impact projects for the company. This typically means hands-on work on systems such as in-house CI/CD, on-prem ML data center infrastructure, AWS, Azure, Google Cloud based solutions and more. You’ll be involved in server and tool selection processes and configuration for ML and production projects. You’ll also work on infrastructure that powers our ML research, from on-prem GPU clusters to multi-cloud training pipelines.

What you'll do

Design architectures and lead server selection and on-prem setup
Administer Linux servers, networking, and storage across our on-prem infrastructure
Diagnose and resolve intermittent or hard-to-reproduce issues on on-prem tower servers, especially cases that vendor technicians are unable to replicate
Troubleshoot and fix issues across cloud infrastructure
Administer identity and device management platforms
Work closely with our software architects to develop and maintain cloud architectures across projects
Own cloud workloads end-to-end — deployment, scaling, high availability, and monitoring — across platforms such as ECS and EKS
Design, implement, and maintain CI/CD pipelines (Jenkins, GitHub Actions)
Develop scripts to automate routine tasks
Manage patching and security across systems, and integrate security tools into our infrastructure.

What we are looking for

Must-have:

5+ years of hands-on DevOps experience across on-prem and cloud infrastructure
Strong Linux system administration skills
Experience designing CI/CD pipelines with Jenkins and GitHub Actions
Proficiency with scripting languages (bash, Python, or similar) for automation
Hands-on experience with Infrastructure-as-Code tools (Terraform and/or Ansible)
Production experience with containers and orchestration (Docker, Kubernetes)
Working experience with at least one major cloud provider (AWS, Azure, or GCP)
Solid fundamentals in networking (TCP/IP, DNS, subnetting, VPNs, firewalls). Experience with MP-BGP, EVPN, VXLAN, or similar technologies is a strong plus.
Strong analytical and troubleshooting skills, with the ability to communicate clearly in English
Strong proficiency of using Claude Code and AI assisted coding workflows.

Nice-to-have:

Knowledge of HPC and job schedulers (Run:ai, Determined, etc.)
Familiarity with ML infrastructure or supporting ML / data science teams
Experience with server hardware selection and procurement
Experience hosting and managing application testing services (Citrix, VMware Horizon, Squid Proxy, etc.)
Security tooling integration and patch management at scale
BSc / MSc in Computer Science or related field.

How to apply

All interested candidates are encouraged to apply through this form.
We highly appreciate all applications, however, only shortlisted candidates will be contacted for the next stages.

Krisp is an Equal Opportunity Employer:

All applicants are considered regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We do not tolerate discrimination or harassment of any kind. All employees and contractors of Krisp treat each other with respect and empathy.

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