84.51° Overview:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

__________________________________________________________

We are seeking a Lead Cloud Engineer - AI Enablement to join our AI Platform Acceleration team. The AI Platform Acceleration team will enable AI democratization through apps & services. You will collaborate with cross-functional teams of data scientists, research scientists, software engineers, and product leads to understand business requirements, identify opportunities for AI integration, and ensure our platforms enable development of scalable and robust AI systems. This team will also engage with third party vendors to enable speed, scale, and efficiency.   

This role is heavily focused on platform operations. General areas of focus are deployment & infrastructure, ci/cd pipelines, observability, SLAs, incident management, user onboarding and other related operational components.

RESPONSIBILITIES

Manage and enhance deployment of infrastructure using Terraform

Manage and enhance ci/cd pipelines using Github Actions

Interact daily with Azure and Azure services

Troubleshoot issues related to API deployments in AKS

Ensure accurate observability of solutions deployed in AKS using Datadog or other related observability tools

Define and implement SLAs and incident management procedures

Independently define, prioritize and execute project tasks and plans to deliver cloud-related infrastructure and solutions

Document work and solutions appropriately

Engage with other technology and infrastructure teams as necessary to complete tasks

Participate routinely in team on-call rotation during business hours

QUALIFICATIONS, SKILLS, AND EXPERIENCE

4-year degree in a technology related discipline or equivalent work experience

5+ years of experience with public cloud technologies (Azure or GCP preferred) including demonstrated networking and security focus

 “GCP Associate Cloud Engineer” and/or “Microsoft Azure Administrator Associate” certifications preferred

5+ years of experience with container technologies (Docker, Kubernetes, Helm)

5+ years of experience with cloud automation tools (Terraform)

5+ years of experience with SDLC and working with Agile development teams

Experience with AI-related concepts a plus (RAG, fine-tuning, agent framework, LLMs, etc.)

Ability to manage small to medium size IT-related projects, solving related problems and working to tight deadlines while under pressure

Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units

Desire to learn new technology and grow across different areas of technology

Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities

IMPORTANT INFO

This is a Hybrid position. Candidates must be able to come into the office on Monday, Tuesday, and Wednesday of each week. We have locations in Cincinnati, OH, Chicago, IL, Deerfield, IL, New York, NY, and Portland, OR. There are no remote options for this position.

We are NOT working with Staffing Firms, Consulting Companies, or any other 3rd parties on this position.

Full-time only. No contracts. No C2C.

#LI-DOLF
#LI-Hybrid

84.51°

New Jobs

Lead Cloud Engineer - AI Enablement (P946)