Senior DevOps Engineer
Stevenage, GBR, United Kingdom
VIAVI Solutions
Summary:
VIAVI (NASDAQ: VIAV) has a 100+ year history of technical innovations that have evolved to keep pace and address our customers’ most pressing business issues. We make equipment, software, and systems that help to plan, deploy, certify, monitor, and optimize all kinds of networks - like those for mobile phones, service providers, large businesses and data centers. VIAVI is also a leader in high performance thin film optical coatings and engineered diffusers, providing light management solutions to anti-counterfeiting, consumer electronics, automotive, defense and instrumentation markets.We are the people behind the products that help keep the world connected – at home, school, work, at play, and everywhere in between. VIAVI employees are fierce about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.
We are looking for a skilled DevOps Engineer with proactive Kubernetes Administration skills to provide configuration and maintenance support for Kubernetes clusters.
Duties & Responsibilities:
Install, configure, and maintain Kubernetes clusters (on-premises or cloud-based), including upgrade and patch management.
Deploying applications in the Kubernetes cluster, configuring DNS for cluster.
Manage and troubleshoot deployments using Helm charts, manifests, or other CI/CD tools.
Maintain detailed documentation of Kubernetes configurations and operational processes.
Pre-Requisites / Skills / Experience Requirements:
Degree level qualification in relevant Engineering discipline.
Extensive Kubernetes experience - with understanding on the core components of Kubernetes including Kube-scheduler.
Understanding of software systems concepts such as networking, firewalls, protocols, databases and more.
Strong security awareness including security best practices surrounding Kubernetes
Understanding of software delivery practices such as Git branching models and configuration management.
Experience with monitoring, observability, and logging tools such as Prometheus, Grafana, or similar.
Experience with:
Linux, Bash, Python.
CI/CD tools such as Jenkins or similar.
Infrastructure as Code tools such as Ansible or Puppet.
Containerisation/Virtualization technology such as Docker, Podman, VMware.
Load balancing tools such as HA-Proxy, Nginx or F5.
Desirable but not essential:
Completion of the Certified Kubernetes Administrator (CKA) exam.
MLOps tools like Kubeflow, MLFlow application deployment and management in Kubernetes Cluster.
Using Kubeflow trainer, Kubeflow operator and Kueue to schedule and train AI/ML models.
Experience in working within on-premises infrastructure.
Well versed in using GitOps practices to deploy configuration changes to Kubernetes Clusters.
Experience using JIRA, Confluence, BitBucket.
Strong collaboration and team working skills, including cross-functionally, with the ability to establish and maintain effective relationships across all levels.
Ability to influence senior stakeholders.
Excellent communication skills, both verbal and written.
The ability to work within multiple and/or complex projects simultaneously in a deadline-driven environment.
Ability to mentor and coach the same or junior levels.
Ability to solve complex issues using in depth evaluation methods and techniques.
Contributes to strategic decision-making.
If you have what it takes to push boundaries and seize opportunities, apply to join our team today.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible Bitbucket CI/CD Confluence DevOps Docker Engineering Git Grafana Helm Jenkins Jira Kubeflow Kubernetes Linux Machine Learning MLFlow ML models MLOps Puppet Python Security
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