Join us at Rhesis AI Opensource test generation and management for Gen AI applications that deliver value not surprises!
At Rhesis AI we empower organizations to develop and deploy Gen AI applications that meet high standards for reliability robustness and compliance. As the creators of an opensource solution for test generation & management we enable AI teams to build contextspecific tests and collaborate directly with domain experts.
Were currently part of the K.I.E.Z. Accelerator at the Merantix AI Campus in Berlin where were building the testing infrastructure Gen AI needs to earn trust at scale.
If youre passionate about advancing trustworthy AI through practical tools and collaborative infrastructure we invite you to join our mission.
Tasks
What you will do
- Design build and maintain secure and scalable cloud infrastructure on GCP (and support for other cloud environments and onpremise deployments).
- Define and implement infrastructure as code using Terraform Ansible and related tools.
- Set up and manage CI/CD pipelines for multiservice deployments (e.g. GitHub Actions GitLab CI or similar).
- Deploy and operate Kubernetes clusters (GKE and selfmanaged) to support Rhesis backend frontend and worker components.
- Design hybrid infrastructure to support both SaaS and onpremise enterprise installations.
- Ensure cloud infrastructure meets high standards for security compliance reliability and observability.
Requirements
You will thrive in this role if you have:
Important Skills
- Experience in cloud infrastructure DevOps or Site Reliability Engineering.
- Strong handson experience with Terraform and container orchestration using Kubernetes.
- Experience managing infrastructure on GCP AWS Azure or a mix.
- Proficiency in configuring CI/CD pipelines and managing secrets environments and artifact deployments.
- Familiarity with Ansible or equivalent tools for system provisioning and automation.
- Solid understanding of cloud security best practices including IAM networking and workload protection.
- Experience supporting multienvironment deployments (dev staging production) and onpremise scenarios.
Nicetohave skills
- Experience with hybrid cloud deployments or airgapped systems for enterprise environments.
- Background in setting up monitoring logging and alerting stacks (e.g. Prometheus Grafana ELK).
- Familiarity with GitOps practices and tools like ArgoCD or Flux.
- Interest in AI infrastructure ML pipelines or MLOps tools is a plus.
Benefits
Were excited to offer a fixed oneyear contract (with very likely extension) starting 1 June along with a range of benefits to support our team members including:
- Work at the forefront of Gen AI: Collaborate with some of the most innovative companies building LLM applications. Contribute to the trustworthiness of AI by shaping opensource tools that define how Gen AI is tested and validated.
- Flexible work arrangements: We understand the importance of worklife balance and offer flexible working options to accommodate personal needs and preferences. We have offices in Berlin and Potsdam (Griebnitzsee).
- Compensation: We offer salaries and benefits tailored to your experience and qualifications along with the opportunity to gain ownership in the company.
- A supportive and collaborative work environment: We foster a culture of teamwork collaboration and mutual respect where every team member is valued and supported in their professional and personal growth.
Diversity and Inclusion:
At Rhesis AI we value diversity and inclusion believing that diverse perspectives enrich our team and drive innovation. We encourage applications from individuals of all backgrounds regardless of gender nationality religion or other personal characteristics. Even if you dont meet every requirement listed we encourage you to applyyour unique skills and experiences could be exactly what we need to succeed.
Ready to Join Us
If youre passionate about full stack development excited by the prospect of working with cuttingedge AI technology and committed to making AI responsible wed love to hear from you!
Apply now and help us build solutions that shape the future of AI!