This role is for one of the Weekday's clients
We are looking for a
DevOps Engineer to take ownership of
building, maintaining, and scaling our
cloud infrastructure to support our
AI-powered platform. This role is essential to ensuring the
reliability, efficiency, and scalability of our systems as we continue to grow. You will collaborate closely with
product, engineering, and data science teams to optimize deployments, streamline
CI/CD pipelines, and enhance the overall
user experience.
Requirements
Key Responsibilities:
- Infrastructure Management: Design, deploy, and manage secure, scalable, and reliable cloud infrastructure for AI-driven applications
- CI/CD Pipeline Development: Build and optimize continuous integration and deployment pipelines to accelerate development and deployment processes
- Automation: Automate repetitive tasks and optimize workflows to improve operational efficiency and reduce deployment times
- Monitoring & Troubleshooting: Implement real-time monitoring and alerting systems to gain performance insights and proactively address infrastructure issues
- Security & Compliance: Enforce infrastructure security best practices and ensure compliance with data protection standards
- Collaboration: Work closely with cross-functional teams to align infrastructure strategies with business and engineering goals
What We're Looking For:
- Experience: 4+ years in DevOps, with expertise in cloud platforms such as AWS, GCP, or Azure
- Technical Skills: Proficiency in CI/CD tools (Jenkins, GitLab CI/CD), containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform, Ansible)
- Scripting Knowledge: Strong scripting skills in Bash or Python for automation
- Monitoring Expertise: Hands-on experience with monitoring and alerting tools (Prometheus, Grafana) to ensure high system reliability
- Problem-Solving Mindset: Ability to troubleshoot and resolve complex infrastructure issues efficiently
- Team Collaboration: Strong communication skills and a collaborative mindset to work effectively with diverse teams
