DevOps Engineer - Configuration Management (2-6 yrs)

Role Overview :

DevOps engineers create highly automated and resilient infrastructures using the latest AI-driven DevOps tools and practices to streamline deployments and operations.

Key Responsibilities :

- Develop and maintain GitOps pipelines with Flux or ArgoCD.

- Use AI-enabled platforms for predictive scaling and failure detection in Kubernetes clusters.

- Automate configuration management using Pulumi or Terraform AI extensions.

- Monitor and troubleshoot production environments with AI-enhanced tools (e.g., AI-assisted Datadog, Elastic Observability Suite).

- Optimize CI/CD pipelines using AI-based plugins like Harness AI or GitHub Actions Insights.

- Ensure high security and compliance through AI-enhanced DevSecOps tools like Snyk, Lacework, or Prisma Cloud.

Technological Expectations :

- Cloud Expertise: Proficient in multi-cloud management with Anthos or AWS Outposts.

- Containers: Advanced experience in container orchestration with Kubernetes + OpenAI plugins.

- Scripting: Strong skills in Python, Go, or Ruby for infrastructure automation.

- Monitoring: Expertise in setting up observability pipelines with AI-injected telemetry.

- AI in DevOps: Proficiency in applying tools like ChatOps and generative AI for workflow acceleration.

Cultural Expectations :

- Advocate for autonomous operations using predictive analytics and automated alerts.

- Embrace collaborative DevOps practices, breaking silos between teams.

- Promote continuous improvement using AI insights on deployment performance