Overview
Hybrid3 Days Onsite
$160,000 - $170,000
Full Time
Skills
DevOps
IaC
Python
Kubernetes
Helm Templates
GitOps
AWS
Terraform
Ansible
Job Details
***Hybrid, 3 days onsite, 2 days remote***
***We are unable to sponsor as this is a permanent full-time role***
A prestigious company is looking for a DevOps Engineer. This role is focused on Infrastructure as a Code, heavy Kubernetes, Python development, Helm templates, uc2, Gitops, etc.
Responsibilities:
- Drive technology best practices across the SDLC, particularly build and deployment process automation
- Collaborate with internal and external stakeholders to ensure DevOps methodologies are used to their best potential
- Promote self-service build and deployment processes through process automation to enable rapid iterations of development team functions
- Design and implement process improvements across the build, deployment, and monitoring of company systems
- Assist in designing process improvements across the build, deployment, and monitoring of Kubernetes systems
- Support the automation and configuration of Kubernetes, AWS, and other systems to support the SDLC and DevOps methodologies
- Support terraform, ansible, Harness, and Jenkins jobs used to instantiate and manage development environments
Qualifications:
- Bachelor s or Master s Degrees in Computer Science, Information Systems or other related field. Or equivalent work experience
- 5+ years ~ of experience on similar DevOps platforms
- A deep understanding of the Software Development Life Cycle (SDLC)
- Experience with continuous integration and continuous deployment (CI/CD) tools, techniques, and automation frameworks
- Python coding experience required, experience writing code unit-tests and following best practices
- Jenkins job setup and execution analysis including Splunk log review for Root Cause Analysis (RCA)
- Ability to manage Kubernetes deployments with helm charts, using continuous deployment tools like Harness.io
- Ability to manage AWS deployments using Terraform, Ansible, or similar Infrastructure as Code (IaC) frameworks
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.