Kubernetes and ArgoCD: Orchestrate scalable deployments with Kubernetes and leverage ArgoCD for automated and declarative application management.
Packer + MaaS: Create custom bare-metal images with Packer and deploy them seamlessly using MaaS (Metal as a Service) for Ubuntu.
K3s + KubeVirt: Build a self-provisioning VM environment to empower developers and QA engineers.
Infinia & Harbor: Utilize Infinia for S3 storage services, and Harbor for container image management.
GitHub Enterprise (GHE) + Actions: Collaborate using GHE, with DevOps leading the development and maintenance of workflow actions for CI/CD pipelines.
Docker: Build containerized environments for both cloud and on-prem applications.
Quay & GCS Buckets: Manage external artifacts with Quay and Google Cloud Storage (GCS).
WHAT YOU’LL WORK ON
Self-Deployable Environments: Our DevOps engineers are building a seamless, self-service environment to empower developers and QA teams.
Bare-Metal & Cloud Integration: Get hands-on experience with bare-metal provisioning using MaaS, while deploying infrastructure in hybrid models with GCP and expanding to other cloud providers.
Streamlining Build Systems: We integrate tools like Nexus/JFrog Artifactory to accelerate builds and optimize workflows, ensuring smoother development and faster delivery.
Constant Innovation: We believe in continuous improvement, constantly enhancing infrastructure-as-code to make deployments faster, more reliable, and easily replicable.
REQUIRED SKILLS
All of the following skills are mandatory
Application Deployments within Kubernetes using tools like Helm or ArgoCD.
Cloud experience with Oracle Cloud Infrastructure (OCI) is a plus; experience with other cloud providers is good to have.
Docker experience.
Configuration Management with Ansible or similar tools.
Monitoring and Metrics using Prometheus, Grafana, or equivalent.
Bash Scripting expertise.
CICD Pipeline Development using GitHub/GitLab, Jenkins, and related tools (e.g., YAML, Groovy).
Basic Linux Proficiency for underlying infrastructure management.
PREFERRED SKILLS
The following skills are desirable but not mandatory
Linux Administration, Networking, and Troubleshooting.
On-prem Kubernetes Deployment and Administration.
Virtualization experience.
Python or Golang programming knowledge.
CI/CD pipeline automation and scripting using languages like Python or Groovy.
CI system integration and optimization experience.
