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Senior DevOps/MLOps(m/w/x)
Designing and operating multi-cloud and edge networking for AI systems. Kubernetes and Infrastructure-as-Code expertise required. Company car for private use, 6 weeks vacation.
Requirements
- 5+ years DevOps/infrastructure/platform engineering experience
- Clear ownership of production systems
- Design and operate complex cloud/hybrid architectures
- Strong Kubernetes expertise
- Strong Infrastructure-as-Code expertise (Terraform or similar)
- Deep understanding of networking fundamentals
- Deep understanding of cloud networking (routing, VPNs, DNS, security)
- Solid grasp of identity and access systems (IAM, OIDC/SAML, RBAC)
- Strong programming skills (Python and/or Go)
- Build real systems with programming skills
- Experience with CI/CD workflows in production
- Experience with GitOps workflows in production
- Strong Linux knowledge
- Strong distributed systems knowledge
- Exposure to event-driven systems
- Exposure to APIs (REST, gRPC)
- Good understanding of SRE disciplines
- Good understanding of DevSecOps disciplines
- Good understanding of platform engineering disciplines
- Working knowledge of MLOps
- Strong motivation to grow into MLOps quickly
- Experience with configuration management (Ansible or similar)
- Familiarity with storage systems
- Familiarity with distributed data systems
- Exposure to on-prem / edge infrastructure
- Experience leading incident response
- Experience leading SLOs
- Experience leading reliability practices
Tasks
- Own complex systems end-to-end
- Make high-impact architectural decisions
- Own multi-cloud architecture (GCP, Azure, AWS) from design to operation
- Build a scalable, self-service platform engineering layer
- Architect networking across cloud and edge (hybrid connectivity, routing, secure communication)
- Drive security and compliance standards (ISO 27001, zero-trust, supply chain security)
- Establish deep observability across all systems (metrics, logs, tracing, alerting)
- Design and evolve the MLOps stack (data pipelines, GPU workloads, model deployment, AI systems infrastructure)
- Ensure high reliability across distributed edge deployments
- Partner with leadership on infrastructure, architecture, and technical strategy
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- Kubernetes
- Terraform
- Python
- Go
- Ansible
- Kafka
- AMQP
- REST
- gRPC
Benefits
Startup Environment
- Steep growth curve
- High-impact environment
Modern Equipment
- Cutting-edge tech
Informal Culture
- Strong team
Career Advancement
- Clear growth path
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Senior DevOps/MLOps(m/w/x)
Designing and operating multi-cloud and edge networking for AI systems. Kubernetes and Infrastructure-as-Code expertise required. Company car for private use, 6 weeks vacation.
Requirements
- 5+ years DevOps/infrastructure/platform engineering experience
- Clear ownership of production systems
- Design and operate complex cloud/hybrid architectures
- Strong Kubernetes expertise
- Strong Infrastructure-as-Code expertise (Terraform or similar)
- Deep understanding of networking fundamentals
- Deep understanding of cloud networking (routing, VPNs, DNS, security)
- Solid grasp of identity and access systems (IAM, OIDC/SAML, RBAC)
- Strong programming skills (Python and/or Go)
- Build real systems with programming skills
- Experience with CI/CD workflows in production
- Experience with GitOps workflows in production
- Strong Linux knowledge
- Strong distributed systems knowledge
- Exposure to event-driven systems
- Exposure to APIs (REST, gRPC)
- Good understanding of SRE disciplines
- Good understanding of DevSecOps disciplines
- Good understanding of platform engineering disciplines
- Working knowledge of MLOps
- Strong motivation to grow into MLOps quickly
- Experience with configuration management (Ansible or similar)
- Familiarity with storage systems
- Familiarity with distributed data systems
- Exposure to on-prem / edge infrastructure
- Experience leading incident response
- Experience leading SLOs
- Experience leading reliability practices
Tasks
- Own complex systems end-to-end
- Make high-impact architectural decisions
- Own multi-cloud architecture (GCP, Azure, AWS) from design to operation
- Build a scalable, self-service platform engineering layer
- Architect networking across cloud and edge (hybrid connectivity, routing, secure communication)
- Drive security and compliance standards (ISO 27001, zero-trust, supply chain security)
- Establish deep observability across all systems (metrics, logs, tracing, alerting)
- Design and evolve the MLOps stack (data pipelines, GPU workloads, model deployment, AI systems infrastructure)
- Ensure high reliability across distributed edge deployments
- Partner with leadership on infrastructure, architecture, and technical strategy
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- Kubernetes
- Terraform
- Python
- Go
- Ansible
- Kafka
- AMQP
- REST
- gRPC
Benefits
Startup Environment
- Steep growth curve
- High-impact environment
Modern Equipment
- Cutting-edge tech
Informal Culture
- Strong team
Career Advancement
- Clear growth path
About the Company
Nomitri
Industry
IT
Description
The company is a global leader in Retail Software Technology, offering AI products for deep-learning computer vision in retail.
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