Description

Overview:

We are seeking a skilled Data/AI DevSecOps Engineer to design, implement, and maintain secure, scalable, and highly available data and AI platforms while supporting cloud infrastructure, automation, and CI/CD practices. This role focuses primarily on AWS, with Azure experience considered a plus. You will work closely with engineering teams to integrate AI and data workflows into production systems and drive best practices in DevSecOps.

Key Responsibilities:

1. Design, deploy, and maintain data and AI solutions, including Databricks, ensuring performance, reliability, and security.
2. Build, manage, and optimize CI/CD pipelines, GitOps workflows, and automated deployments for cloud workloads.
3. Implement infrastructure as code (Terraform, Ansible) and manage containerized applications (Kubernetes/EKS/AKS).
4. Configure and maintain cloud-hosted applications, IAM, SSO, RBAC, and enforce security and compliance standards.
5. Automate routine tasks and workflows using scripting and orchestration tools (Python, Bash, PowerShell, AWS Lambda, GitHub Actions).
6. Monitor and optimize infrastructure and application performance, observability, and logging (Datadog, CloudWatch), ensuring cost-efficiency and scalability.
7. Establish and enforce governance, compliance, and security policies across data, AI, and cloud environments.
8. Evaluate and adopt new tools and technologies to improve efficiency, reliability, and operational excellence.
9. Serve as a subject matter expert for complex cloud, AI, and data-related issues and provide guidance to teams.

Required Skills:

1. 7+ years in DevOps, DevSecOps, Cloud Engineering, OR Data platform development.
2. 1-2+ years of experience in AI engineering
3. Strong AWS expertise; Azure experience is a plus.
4. Hands-on experience with Databricks, Kubernetes, CI/CD pipelines, GitOps, and containerized deployments.
5. Proficiency in Terraform (primary), Ansible, and scripting (Python, Bash, PowerShell).
6. Knowledge of monitoring and observability platforms (Datadog, CloudWatch).
7. Understanding of cloud security best practices, IAM, and compliance frameworks.

Soft Skills:

1. Analytical, proactive, and adaptable, able to manage multiple responsibilities.
2. Strong problem-solving and troubleshooting skills in data-driven environments.
3. Effective communicator and collaborative team player.
4. Fluent in English.