Job ID: JOB_ID_5024
Position: Senior DevOps Engineer with AI/ML
We are seeking a highly skilled Senior DevOps Engineer with a strong background in AI/ML to join our team. The ideal candidate will have extensive experience in developing, implementing, and maintaining CI/CD pipelines, provisioning and managing cloud infrastructure, and supporting containerized environments.
Key Responsibilities:
- Develop, implement, and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, or similar platforms.
- Provision and manage cloud infrastructure across AWS, Azure, or GCP using infrastructure-as-code tools like Terraform or CloudFormation.
- Support containerized environments and orchestration using Docker and Kubernetes.
- Monitor system performance, respond to incidents, and help define and track service reliability metrics (SLOs/SLAs).
- Partner with engineering teams to streamline and improve deployment processes.
- Apply security best practices, including identity and access management, secrets handling, and network security policies.
- Participate in on-call support as required.
Qualifications:
- 7+ years of experience in DevOps, Site Reliability Engineering, or platform engineering roles.
- Strong hands-on experience with AWS.
- Practical experience working with Kubernetes environments (EKS, GKE, or AKS).
- Proficiency with IaC tools such as Terraform.
- Solid understanding of CI/CD methodologies and GitOps practices.
- Experience with monitoring and observability tools such as Datadog, Grafana, or Prometheus.
- Strong scripting ability in languages like Bash, Python, or TypeScript.
- 1+ years of experience supporting AI/ML infrastructure, including GPU-based workloads or model deployment.
- Familiarity with monorepo build systems such as Nx or similar tools.
- Exposure to LLM integrations or AI platform ecosystems.
- AWS certifications (e.g., Solutions Architect or DevOps Engineer) are a plus.
Location:
Onsite 3x a week in Cumming, GA. Local candidates will be considered.
Duration:
Long Term Contract
Interview Mode:
Final interview will take place onsite.
Special Requirements
Onsite 3x a week. Final interview onsite. Only local candidates considered.
Compensation & Location
Salary: $65 – $85 per year (Estimated)
Location: Cumming, GA
Recruiter / Company – Contact Information
Recruiter / Employer: ConvexTech Inc.
Email: ab@convextech.com
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