DevOps Engineer (AI/Data Modernization) Contract

VTRAC Consulting Corporation
Intelligent Solutions

Thank you for applying to VTRAC opportunities. Please e-mail your resume as an MS-WORD document in confidence Subject: DevOps Engineer (AI/Data Modernization), Attention: [email protected] or call: (647) 254-0770

Position #: 251169
Position: DevOps Engineer (AI/Data Modernization)
Position Type: Contract
No. of Positions: 1
Location: Remote

Description:
An exciting opportunity for a DevOps Engineer to support the modernization and scalability of mission-critical, cloud-native data and AI platforms. You will work alongside data architects, AI/ML engineers, and platform teams to design and implement CI/CD pipelines, infrastructure automation, and monitoring frameworks for large-scale data platforms, enabling LLMs, intelligent assistants, and real-time analytics. This is a hands-on role for someone passionate about automation, cloud operations, and building secure, scalable systems in a high-performance environment.

Key Responsibilities:

• Design and maintain CI/CD pipelines for data engineering, AI/ML, and platform services (e.g., using GitHub Actions, Jenkins, or GitLab CI).
• Automate infrastructure provisioning and configuration using tools like Terraform, CloudFormation, or Pulumi.
• Implement containerization and orchestration using Docker and Kubernetes (preferably on AWS EKS).
• Ensure secure, scalable cloud-native deployments across AWS services (e.g., S3, Lambda, EC2, RDS, IAM).
• Support the deployment and scaling of data processing tools such as Apache Flink, Kafka, Airflow, and Spark.
• Manage monitoring, alerting, and observability using tools like Prometheus, Grafana, Datadog, or CloudWatch.
• Collaborate with data and AI teams to ensure seamless integration of ML models and real-time analytics pipelines.
• Assist in implementing data governance, security, and compliance practices at the infrastructure level.
• Lead performance tuning and cost optimization of cloud-based workloads.
• Maintain high availability and reliability standards for production systems.

Qualifications:

• 6+ years of DevOps or Site Reliability Engineering (SRE) experience in cloud-native environments.
• Strong hands-on experience with AWS (preferred) or other major cloud providers.
• Proficiency in infrastructure as code (Terraform, CloudFormation) and container orchestration (Kubernetes).
• Experience with event streaming and data processing platforms such as Kafka, Kinesis, Flink, or Spark.
• Familiarity with data lake, data mesh, or lakehouse architectures is an asset.
• Expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab, etc.) and scripting (Bash, Python, or Groovy).
• Understanding of security best practices for DevOps, including IAM, network policies, and secrets management.
• Solid experience supporting ML workflows, vector databases, or AI infrastructure (preferred).
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com . VTRAC is an equal-opportunity employer.

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