Openshift / Kubernetes Engineer

Black Canyon Consulting · Bethesda, MD · 7 months ago

Employment: Full time

ansible argocd automation aws azure bash ci-cd cli cloud confluence containerization cpp devops distributed-systems docker

Overview

Black Canyon Consulting (BCC) is seeking Openshift/Kubernetes Engineer to join our systems team to support application developers and operations for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health.. This opportunity is full time at the NCBI in Bethesda, MD and/or remote work.

NCBI is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI advances science and public health by providing free access over the Internet to biomedical literature and genomic data, making it one of the 400 top most-visited sites in the world. NCBI has a diverse staff of smart, talented, and deeply technical people who collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts; and maintains ClinicalTrials.gov, a database of over 400,000 clinical studies around the world.

The Systems & DevOps team is responsible for the efficient operation of infrastructure to run NCBI's many applications. This includes providing convenient, scalable solutions for development, deployment, and operations across teams, languages, and cloud and on-prem environments.

This is a great opportunity to work on challenging problems in a technical, scientific, and goal-oriented environment. NCBI offers flexible working hours, remote options, on- and off-site training courses, and conference attendance and tuition reimbursement.

Required Skills

NCBI has built a modern DevOps platform based on GitLab and Kubernetes, and is looking for support engineers to assist internal developers with transitioning legacy software development and deployment to the new The key requirement:

In-depth knowledge/experience with *building and maintaining* Red Hat OpenShift clusters. Merely "using" OpenShift is insufficient.

Experience with Kubernetes

Experience with GCP cloud services, including GKE and Anthos

Experience with Gitlab and especially Gitlab CI/CD

ArgoCD

Familiarity with service-mesh technologies: Istio, Linkerd, etc.

Provide on-call support to NCBI's internal developers and other staff.

Educational Requirements

BS degree in a STEM field, or equivalent experience

Customer-focused, team-oriented disposition

Good systems debugging skills

Comfortable with the Linux environment or UNIX CLI

Experience with some programming or scripting language

Have experience creating processes, procedures and SOP documentation

General understanding of TCP/IP and related protocols

Initiative to take ownership of tasks and drive them to completion

Comfortable dealing with users with varying levels of IT knowledge

Eager to learn new technologies

Strong communication and soft skills to interface with customers, peers and management

Good judgement, sense of integrity, and responsibility

Preferred Experience & Skill sets

Kubernetes, OpenShift, Cloud or Linux experience

Experience with:

Service Reliability Engineering in any capacity
Linux systems administration
Automated CI servers, especially TeamCity and/or GitLab
Automation programming/scripting in any of: bash, Ruby, Python, Go, Java, Scala, Rust, C++, Perl
Automated configuration management, such as Puppet, Ansible, Chef, bcfg2, cfengine, etc. Puppet is preferred.
Version control systems, especially git
Service Mesh technologies (e.g., linkerd, Istio)
Configuring or using monitoring and alerting technologies (TIGK stack, Grafana, Prometheus, OpsGenie)
Confluence, Jira, and Microsoft Office suite
GitOps tools, especially ArgoCD
Google Anthos

Understanding of:

Linux internals (system calls, file systems, processes, etc.)
Linux network configuration
Linux application containerization, especially Docker
Attached network storage technologies
Cloud computing environment such as AWS, GCP or Azure
Automated CI/CD pipelines
Distributed systems design principles

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Overview