DevOps Engineer (AI/Data Modernization)

VTRAC Consulting Corporation; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An exciting opportunity for a DevOps Engineer to support the modernization of cloud-native data platforms. This role involves designing CI/CD pipelines, automating infrastructure, and ensuring secure deployments across AWS services. Collaborating with data architects and AI teams, you will help implement scalable solutions for real-time analytics and intelligent applications. Join a forward-thinking company that values innovation and offers a dynamic work environment. If you are passionate about cloud operations and automation, this position is perfect for you.

Qualifications

• 6+ years of experience in DevOps or SRE in cloud-native environments.
• Strong hands-on experience with AWS and CI/CD tools.

Responsibilities

• Design and maintain CI/CD pipelines for data engineering and AI/ML.
• Automate infrastructure provisioning using Terraform and CloudFormation.

Skills

CI/CD pipelines

Infrastructure automation

Cloud operations

Containerization

Monitoring frameworks

Security best practices

Data processing tools

Scripting (Bash, Python)

Education

Bachelor's degree in Computer Science

Master's degree in Engineering

Tools

Terraform

CloudFormation

Docker

Kubernetes

AWS

GitHub Actions

Jenkins

Prometheus

Grafana

Datadog

Job description

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: [e-mail] or call: [phone]

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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