At a Glance
- Tasks: Join us as an SC Cleared AWS DevOps Engineer and optimise cloud infrastructure.
- Company: Dynamic tech firm focused on secure, innovative solutions.
- Benefits: Competitive pay, flexible work options, and a chance to enhance your skills.
- Other info: Remote work available with occasional onsite training and meetings.
- Why this job: Make a real impact in a secure environment while working with cutting-edge technology.
- Qualifications: Must have active SC Clearance and strong AWS experience.
The predicted salary is between 60000 - 80000 £ per year.
Key requirements:
- Active SC Clearance (must be current and transferable)
- Strong AWS experience
- Infrastructure as Code using Terraform
- GitLab CI – building, maintaining and optimising pipelines
- Experience supporting large-scale / big databases and data-heavy platforms
- Containerisation experience (Docker, Kubernetes desirable)
- Experience working in secure, regulated environments (public sector preferred)
- Strong collaboration and stakeholder engagement skills
- Proven experience in senior-level DevOps / Platform Engineering roles
(on-site requirement is expected for training & certain meetings but otherwise remote)
Please apply with your up to date CV...
SC cleared AWS DevOps Engineer employer: Opus Recruitment Solutions
As a leading employer in the tech sector, we offer an exciting opportunity for SC cleared AWS DevOps Engineers to thrive in a flexible work environment that values collaboration and innovation. Our commitment to employee growth is reflected in our supportive culture, where you can enhance your skills while working on impactful projects within secure, regulated environments. Join us to be part of a dynamic team that prioritises both professional development and work-life balance.
Contact Details:
Opus Recruitment Solutions Recruitment Team
We think you need these skills to ace SC cleared AWS DevOps Engineer
Active SC Clearance
AWS Experience
Infrastructure as Code (Terraform)
GitLab CI
Pipeline Optimisation
Experience with Large-Scale Databases
Data-Heavy Platforms
