DevOps Engineer (OpenStack) @ STX Next
(práce v Polsku)

DevOps Engineer (OpenStack) @ STX Next

Polsko

Must have:

• Solid hands-on experience with OpenStack (compute, networking, storage, identity).
• Strong knowledge of Kubernetes (solid experience in designing, deploying, and managing Kubernetes clusters in private cloud and/or on bare metal)
• Experience with some IAM tools such as Keycloak or similar.
• Familiarity with distributed storage systems (ideally Ceph) and storage integration in Kubernetes.
• Experience in deploying containerized applications using Helm / Operators.
• Understanding of machine learning infrastructure needs (e.g., experiment tracking, orchestration, model deployment).
• Proficiency with Infrastructure-as-Code tools such as Terraform and/or Ansible.
• Strong Linux administration skills and scripting (Bash, Python, Go).
• Familiarity with Git-based CI/CD pipelines and DevOps best practices.
• Ability to work in the team but also independently and take ownership of cloud environments.

Nice to have:

• Experience with public cloud solutions (e.g., AWS, Azure)
• Experience with CI/CD systems (e.g., GitLab CI, Jenkins).
• Familiarity with monitoring/logging (e.g., Prometheus, Grafana, ELK).
• Certified OpenStack Administrator (COA) or Kubernetes certification (CKA/CKAD).
• Exposure to MLOps workflows.

Hi there! 

We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, were shaping the future of technology one project at a time.

Job description

What it’s like to be a DevOps Engineer at STX Next

As a DevOps Engineer, you’ll join a high-impact project focused on deploying and maintaining a modern, containerized infrastructure to support machine learning workflows. The stack will run on Kubernetes clusters hosted on OpenStack. While the underlying OpenStack environment is already in place, you will be responsible for validating integrations, deploying Kubernetes, and ensuring infrastructure readiness for production-grade ML workloads.

Your work will directly support data teams and engineers by delivering scalable, automated, and secure environments tailored for machine learning and advanced analytics.

Benefits

• Work-life Balance - We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides.
• Reimbursed private medical care (Medicover) and Multisport - We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.
• Leader’s support - Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday.
• Technology focus - Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain.
• Growth review - Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months.
• Events - Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!
• Workation - Team trips where you have a chance as a team not only to work together, but also integrate f2f.

,[Validating and integrating an existing OpenStack-based infrastructure., Deploying and configuring Kubernetes clusters in a private cloud., Automating deployment and configuration of ML-supporting systems within Kubernetes., Creating Infrastructure-as-Code using Terraform and/or Ansible., Ensuring scalability, observability, and security across the entire platform., Collaborating with developers, data scientists, and ML engineers., Documenting architecture, deployment procedures, and operational best practices.] Requirements: OpenStack, Networking, Storage, Kubernetes, Cloud, IAM, Keycloak, Ceph, Go, Helm, Machine learning, Terraform, Ansible, Linux, Bash, Python, CD pipelines, Public cloud, AWS, Azure, GitLab, Jenkins, Prometheus, Grafana, ELK Stack, MLOps Additionally: Private healthcare, Sport subscription, International projects, Playroom, No dress code, In-house trainings, Modern office, Free coffee, Free parking.

Kategorie

devops

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