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Assignment Overview
We are looking for a senior consultant with strong experience in platform engineering,
Kubernetes operations, Linux environments, and backend automation development.
The consultant will work in a Software Operations organization focused on building scalable
tooling, infrastructure automation, and operational platforms supporting large-scale global
systems. The role combines software engineering, DevOps, infrastructure engineering, and
operational platform ownership.
A significant part of the assignment involves operating and developing large-scale
Kubernetes environments running primarily on self-managed and on-prem infrastructure.
Required Competence – Must Have
• Strong experience operating and maintaining large-scale Kubernetes platforms in self-
managed or on-prem environments
• Several years of hands-on Linux experience in both development and operational
environments
• Strong Python development skills with experience building automation, backend
services, tooling, and APIs
• Experience with GitOps methodologies and tools such as Argo CD
• Experience with AWS and hybrid cloud environments
• Experience building and maintaining CI/CD pipelines in Linux environments
• Strong understanding of infrastructure automation, container platforms, and
distributed systems
• Experience with Docker and containerized workloads
• Experience designing scalable operational tooling and automation workflows
• Experience with backend frameworks such as Flask, FastAPI, or Django
• Ability to work across both development and operational/infrastructure domains
• Experience with automated testing and test strategies
• Strong communication and collaboration skills
• Structured and methodical way of working
• Ability to contribute to technical discussions, architecture, and long-term platform
scalability
Nice to Have
• Experience with blue/green deployment strategies
• Experience from large-scale operational or platform environments
• Experience mentoring or coaching engineers• Scrum Master or agile coordination experience
• Experience with provisioning physical infrastructure and network-connected
environments
Technical Environment
• Kubernetes (large-scale, self-managed/on-prem)
• Linux
• Python
• Argo CD / GitOps
• AWS
• Docker
• GitLab CI/CD
• Flask / FastAPI / Django
• PostgreSQL
• Bash scripting
• Hybrid cloud and infrastructure environments
Personal Attributes
• Hands-on and technically driven
• Comfortable working close to infrastructure and operations
• Collaborative and communicative
• Structured and proactive
• Interested in both software engineering and platform architecture
• Able to work independently in cross-functional environments