UsefulBI Corporation - DevOps Lead - Cloud Infrastructure

Description :

We are looking for a DevOps Lead Engineer to design, build, and scale our cloud infrastructure and CI / CD ecosystem.

The ideal candidate should have strong AWS expertise (including Control Tower, Step Functions, and Lambda) along with automation and integration skills in Python.

Exposure to GenAI-based automation or ML pipeline deployment is a strong :

• Lead and own the DevOps strategy, architecture, and implementation across environments (Dev, QA, Prod).
• Design and manage AWS environments using AWS Control Tower, Organizations, Service Catalog, and Step Functions for orchestration and governance.
• Implement and optimize CI / CD pipelines using tools like GitHub Actions, Jenkins, or Azure DevOps.
• Automate provisioning and configuration using Terraform / CloudFormation.
• Integrate Python-based automation scripts for deployments, monitoring, and cloud operations.
• Collaborate with Data and AI teams to deploy GenAI models and APIs securely and efficiently.
• Manage containerization and orchestration using Docker and Kubernetes (EKS preferred).
• Ensure security, compliance, and cost optimization across multi-account AWS setups.
• Drive observability using CloudWatch, Grafana, or Prometheus for proactive monitoring and alerting.
• Mentor and guide junior DevOps engineers; establish best practices for infrastructure-as-code, branching, and release :
• 7+ years in DevOps, Cloud, or Platform Engineering roles.
• Strong hands-on experience with AWS services : EC2 Lambda, S3 CloudFormation, IAM, Control Tower, Step Functions, and CloudWatch.
• Proven experience with Terraform, Python, and CI / CD tools (GitHub Actions, Jenkins, etc.
• Knowledge of Kubernetes / EKS and container orchestration best practices.
• Familiarity with ML / GenAI pipelines or deployment of AI APIs in production.
• Strong grasp of networking, security groups, IAM policies, and least-privilege access design.
• Excellent problem-solving and communication :
• Experience with Databricks, SageMaker, or AI model deployment frameworks.
• Exposure to Azure or GCP cloud environments.
• Scripting knowledge in Bash or Go in addition to Python.
• Familiarity with monitoring and cost optimization tools like CloudHealth, Datadog, or New Relic.

Desired Skills and Experience :

AWS,CI - CD,Python,Terraform

(ref : hirist.tech)