Lead Cloud Engineer (P990)

Overview84.51° 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°!ResponsibilitiesTechnical Leadership: Design, develop, test, implement, and support scalable technical architectures across cloud, data, AI/ML, and API domains. Discover common underlying patterns and provide technical guidance and documentation for best practices (e.g., CI/CD, monitoring, logging, API development, data pipelines, AI/ML pipelines). Act as a thought leader and subject matter expert across multiple teams and domains, ensuring alignment with organizational goals.Cloud, Data, and AI Modernization: Lead efforts to modernize legacy systems and shape the organization/'s transition to cloud-native solutions, particularly on Azure. Build and maintain integrations with Snowflake, Databricks, and other data platforms, enabling seamless data sharing and insights. Develop and deploy scalable APIs and microservices that support cross-functional business needs while ensuring maintainability. Design and implement scalable AI/ML pipelines and workflows to support enterprise-wide AI initiatives.AI/ML Enablement & POCs: Partner with data science teams and business stakeholders to identify AI/ML use cases and develop proof of concepts (POCs) to validate feasibility and impact. Scale successful AI/ML POCs into production-grade solutions, ensuring reliability, performance, and maintainability. Collaborate with teams to implement MLOps best practices for model deployment, monitoring, and governance. Identify opportunities to integrate AI/ML into existing systems and workflows to drive automation and insights. Mentor team members and cross-train engineers to elevate technical skills and adoption of modern practices. Conduct internal training sessions and showcase new technologies to drive adoption and understanding.Proof of Concept & Implementation: Design and execute proofs of concepts for new technologies and tools, with the goal of scaling successful solutions across the organization. Evaluate and implement automation tools (e.g., Terraform, Helm) and cloud-native services to improve efficiency and reliability. Troubleshoot large-scale incidents, participate in post-incident retrospectives, and drive improvements to reduce future risks. Drive adoption of common tooling and reduce duplication of effort across teams by standardizing processes and technologies. Incorporate user and stakeholder feedback to continuously improve platform services, AI/ML pipelines, and shared solutions.Qualifications, Skills, and ExperienceEducation & Work Experience: Bachelor’s degree in IT, Computer Science, or related field; proven track record of working across cloud engineering, data platforms, AI/ML, and API development in a senior technical capacity.Technical Expertise: Deep understanding of modern software deployment and architecture patterns, including containerization, CI/CD pipelines, and monitoring/logging. Strong experience with Azure cloud services, including resource provisioning, networking, and cost optimization. Hands-on experience with Databricks, Snowflake, and building scalable data pipelines and integrations. Expertise in API design and development, including RESTful and event-driven architectures. Experience in designing, deploying, and scaling AI/ML models in production environments. Familiarity with MLOps practices, tools, and frameworks for managing the machine learning lifecycle. Hands-on experience with automation and IaC tools like Terraform and Helm, as well as orchestration platforms.AI/ML Experience: Strong understanding of AI/ML concepts, frameworks, and tools (e.g., TensorFlow, PyTorch, MLflow, Azure Machine Learning). Experience in building and deploying AI/ML models at scale, including data preprocessing, training, and model monitoring. Ability to work with data scientists and translate business problems into AI/ML solutions.Cross-Functional Collaboration: Ability to work across teams and domains, serving as a bridge between engineering, data, AI, and business teams. Strong interpersonal and communication skills to mentor, document, and present technical solutions effectively.Problem Solving & Innovation: Ability to dive deeply into complex systems, identify opportunities for improvement, and drive modernization efforts. Passion for staying up-to-date on technology trends, including AI/ML advancements, and applying them thoughtfully to solve organizational challenges.Certifications & Tools: Certifications in relevant technologies (e.g., Azure Architect, Databricks Certified Developer, Kubernetes Administrator, Azure AI Engineer) are a plus. Familiarity with tools such as GitHub Actions, Datadog, Dynatrace, Grafana, Prometheus, and ServiceNow preferred.Technologies in Use (for reference)CI/CD & DevOps: GitHub Actions, Harness CD, ArtifactoryPay Transparency and BenefitsThe stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.Health: Medical, dental, and vision options with coverage details.Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution. AD&D and supplemental insurance options.Happiness: Hybrid work environment. Paid time off with flexible leave, including vacation, health and wellness days, floating holidays, and company holidays. Paid leave for maternity, paternity and family care.#LI-SSS #J-18808-Ljbffr

Created: 2025-09-17