Tech Stack
ElasticSearchKubernetesLinuxMongoDBPostgresPython
About the role
- Adapting our MLOps offering to deal with new technical challenges in the predictive and particularly generative AI landscape
- Seek, give, and receive critical feedback in a constructive manner
- Maintaining and improving our existing tools, APIs, integrations and tests
- Operate and troubleshoot the services we maintain in Kubernetes clusters
- Working directly with customers in workshops or escalations
- Lead your own projects with high autonomy through technical designs, implementation, and release to customers
- Collaborate closely with product managers to distill requirements into technical tasks
- Operate a 24/7 on-call rotation where team members take turns dealing with operational incidents.
Requirements
- Master’s in Computer Science (or related field) or equivalent professional experience
- 3+ years of production experience writing Python applications
- CKAD level understanding of Kubernetes (certification is not necessary)
- Basic understanding of Linux System Administration
- Experience with database systems such as PostgreSQL, MongoDB or ElasticSearch
- Basic understanding of OpenTelemetry Tracing, Logs and Metrics
- Ability to communicate clearly verbally and in writing in English on technical issues.
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP) and more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonKubernetesLinux System AdministrationPostgreSQLMongoDBElasticSearchOpenTelemetryAPIsMLOpsGenerative AI
Soft skills
critical feedbackcommunicationcollaborationautonomycustomer interactionproblem-solvingworkshop facilitationtechnical designconstructive feedbackincident management