Senior DevOps Engineer

VR-120847

Project description

As a software engineer, you will be working on automating test ware tools for distributed server applications. You will be working with infrastructure, services, security and system engineers to define the software requirements.

All this is discussed and reviewed with your software team. A team of about 6 people consisting of a team lead, a software architect, a senior developer. After your SW design is approved you are responsible for implementing the design in Python, ansible and Azure Pipelines. Auto and unit testers are written in Python.

The development environment is Red Hat Linux. Client SW teams work in various modes such as Agile and SAFE.

Responsibilities

Contribute to the development and maintenance of our client's internal software deployment tooling, based on the APIF framework and executed through the VCPCTL tool. This tooling is essential for packaging, validating, and installing software features on the Virtual Compute Platform (VCP), ensuring reliable and consistent deployments across environments.

Define and maintain feature and package manifests that describe how software artefacts should be deployed and configured.

Use VCPCTL to automate packaging workflows, including fetching artefacts, validating manifests, and creating deployable packages.

Support application teams in adopting APIF by helping them structure their artefacts and define dependencies and configuration parameters.

Improving the reliability of the deployment process. This includes analyzing issues in the field, designing both quick fixes and long-term improvements, and ensuring that deployment logic is robust and maintainable.

Skills

Must have

Strong experience with Kubernetes and Linux

min. 5 years

Certifications such as CKA/RHCA required

Very good Python programming

min. 5 years

Good Knowledge of Ansible playbooks

min. 3 years

CI/CD pipelines (e.g., Azure DevOps) to test and validate

min. 5 years

Spark for data processing, Kafka for notifications and high volume data

Hadoop and HBASE

K8S API's and tooling

Nice to have

Ready to face customer, gather, clarify and discuss requirements.

Strong debugging and analytic skills