DevOps Engineer

We are seeking a highly motivated and skilled DevOps Engineer to join our team. You'll play a
crucial role in building, deploying, and maintaining scalable and reliable systems and
infrastructure, working closely with development teams to ensure operational efficiency and
smooth deployment pipelines.

• Design, implement, and maintain CI/CD pipelines to streamline development workflows.
• Build and manage scalable infrastructure for AI model deployment and lifecycle management.
• Automate infrastructure provisioning and management using tools like Terraform,
  Ansible, or CloudFormation.
• Optimize cloud-based and on-premises resources for scalability and cost efficiency.
• Manage and fine-tune queuing systems and real-time streaming architectures.
• Monitor and troubleshoot production systems to ensure uptime and performance.
• Implement logging, monitoring, and alerting solutions using tools such as Prometheus,
  Grafana, ELK stack, etc.
• Set up comprehensive monitoring for both system metrics and ML model performance.
• Conduct root cause analyses and post-mortems to improve system reliability.
• Collaborate with development and QA teams to deploy new features into production seamlessly.
• Promote best practices in system architecture, security, and performance.
• Participate in a rotating on-call schedule for production system support.
• Ensure infrastructure complies with security and compliance standards (e.g., SOC2,
  ISO27001).
• Securely manage secrets and credentials using tools like Vault or AWS Secrets Manager.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Proficiency in at least one scripting language: Python, Bash, or Go.
• Hands‑on experience with cloud platforms like AWS, Azure, or Google Cloud.
• Skilled in containerization and orchestration with Docker and Kubernetes.
• Experience using CI/CD tools such as Azure DevOps, Jenkins, GitLab CI/CD, or CircleCI.
• Knowledge of monitoring and observability tools like Prometheus, Datadog, New Relic,
  Grafana, or PagerDuty.
• Understanding of networking fundamentals including DNS, load balancing, and firewalls.
• Familiarity with real-time streaming architectures for AI and data applications.

• Experience with Infrastructure as Code (IaC) tools like Terraform or Pulumi.
• Understanding of service mesh technologies like Istio or Linkerd.
• Familiarity with database scaling and administration, including VectorDBs, SQL, and
  NoSQL systems.
• Previous experience in a high-traffic production environment

GCS is acting as an Employment Business in relation to this vacancy.