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Strong employer brand, metro location, and a popular DevOps early-career role increase applicant competition.
Core DevOps skills transfer across industries, though security-focused and AI tooling preferences increase domain specificity.
Explicit years and mandatory CI/CD, IaC, and scripting skills make screening and technical filters stringent.
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Maintain and develop CI/CD pipeline components using GitLab CI for efficient and secure software delivery.
Create and integrate infrastructure-as-code scripts (Terraform) to automate provisioning and support platform operations.
Implement security controls in delivery pipelines and contribute to AI-assisted DevSecOps tooling to enhance pipeline workflows.
1–2 years of experience in software engineering, DevOps, or platform engineering with CI/CD and automation scripting exposure.
Hands-on experience with CI/CD platforms like GitLab CI, GitHub Actions, or Jenkins, including pipeline, artifact, and runner management.
Proficiency in Python and/or Bash scripting and foundational Linux system knowledge.
Basic knowledge of Docker containerization and Kubernetes concepts; exposure to AI/LLM APIs or agent-based automation.
Operates with a global and scalable mindset connecting daily tasks to broader company goals and building lasting solutions.
Demonstrates a data-driven approach, using analytics to inform decisions and improve architectural outcomes.
Shows technical curiosity with experience or active interest in integrating AI tools for workflow enhancements and problem-solving.