DevOps Engineer
Nemetschek SE (company site, opens in a new tab)5–7 yrsBengaluruHybridDirect career pageEst. 15–28 LPA
Posted 18h ago
Reach people at Nemetschek SE
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Nemetschek SE you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own cloud platform capabilities, CI/CD pipelines, infrastructure as code, and self-service tooling that enable secure, repeatable delivery of cloud-native applications.
- Improve reliability, scalability, developer productivity, and delivery efficiency through automation, modernization of legacy systems, and reduced operational toil.
- Support production systems through operational support, incident response, root-cause analysis, and an on-call rotation.
Minimum Requirements
- Work Experience Required: 5–7 years overall in software engineering, DevOps, platform engineering, SRE, cloud engineering, or related roles; includes 3–5 years with CI/CD and production cloud environments, and 2–4 years with Kubernetes-based platforms.
- Hands-on AWS cloud, CI/CD, Kubernetes (preferably EKS), infrastructure as code, and scripting/automation experience; the role also requires practical production workload and operational support experience.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience developing and operating software systems at scale.
Ideal Candidate Profile
- Has built and operated shared platforms, internal tooling, or automation used by multiple engineering teams—not only one-off deployment workflows.
- Brings a production-focused cloud-native background, especially with AWS and Kubernetes, and can improve delivery reliability through infrastructure as code and automation.
- Is suited to cross-functional platform work with engineering, QA, security, architecture, and product teams, including incident response and modernization of legacy systems.