Job Description

As a Senior DevOps Specialist, you will play a key role in designing, automating, and maintaining the cloud infrastructure that supports enterprise Generative AI projects.

You will be responsible for implementing Infrastructure as Code (IaC), managing CI/CD pipelines, supporting development teams with DevOps best practices, and continuously improving the platform's reliability, scalability, and security. In addition to hands-on engineering, you will act as a technical leader, guiding teams, reviewing implementations, and contributing to backlog prioritization and architectural decisions.

This position offers the opportunity to work with cutting-edge cloud technologies and AI platforms while helping shape the DevOps ecosystem for innovative AI solutions.

Key Responsibilities

• Design, develop, and maintain cloud infrastructure using AWS CloudFormation, ensuring secure, scalable, and reproducible environments.
• Support Infrastructure as Code (IaC) initiatives, with additional exposure to Terraform where required.
• Administer and optimize Jenkins environments, CI/CD pipelines, deployment automation, and continuous integration processes.
• Assist development teams in adopting GitHub Actions and standardizing modern DevOps workflows.
• Provide technical support and guidance to engineering teams on DevOps practices, troubleshooting, and platform usage.
• Develop reusable templates, libraries, and automation accelerators to streamline the delivery of Generative AI projects.
• Review technical implementations to ensure consistency, compliance with architecture standards, and overall solution quality.
• Act as the technical reference within the DevOps team, supporting backlog prioritization, task reviews, and technical coordination.
• Identify opportunities to improve platform performance, security, observability, scalability, and operational efficiency.
• Collaborate closely with architects, software engineers, AI teams, and cloud specialists to deliver robust enterprise solutions.

Required Skills & Experience

• 3+ years of experience in DevOps, Cloud Engineering, or Platform Engineering within enterprise or mission-critical environments.
• Strong expertise in AWS CloudFormation for Infrastructure as Code.
• Working knowledge of Terraform for cloud infrastructure automation.
• Advanced experience with AWS services, including:
  • AWS AppRunner
  • AWS Lambda
  • AWS AgentCore
  • Core AWS cloud services
• Experience administering and optimizing Jenkins, including pipeline creation, deployment automation, and CI/CD management.
• Familiarity with GitHub Actions and modern CI/CD workflows.
• Strong knowledge of the Python ecosystem, including:
  • Git
  • Artifactory
  • pip
  • Poetry
  • Basic Python scripting
• Solid understanding of cloud security, observability, scalability, and cost optimization best practices.
• Experience reviewing technical work and mentoring development teams.
• Strong communication, leadership, and problem-solving skills.
• Experience working in Agile environments and collaborating across multidisciplinary teams.

Preferred Qualifications

• Experience supporting Generative AI or AI platform engineering initiatives.
• Knowledge of Azure and Google Cloud Platform (GCP).
• Experience implementing DevOps standards for AI/ML application development.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience with monitoring and observability platforms such as CloudWatch, Grafana, or Prometheus.
• AWS certifications or other cloud-related certifications are considered an advantage.