84.51°
Director, Software Engineering (P4474)
Cincinnati, OH; Chicago, IL · Director
Sponsorship not specified$162k-$262kDetected 1 day ago
PythonFastAPIGCPAzureKubernetesTerraformHelmCI/CDAPI DevelopmentMachine LearningDeep LearningPyTorchData ScienceAgentic AIMLOpsResearchLeadershipCollaboration
About the role
- 84.51° is a retail data science, insights and media company.
Responsibilities
- Partner with the Director of Product Management for Agentic Foundations to jointly lead the space for the Kroger enterprise
- Lead and manage a team of engineers, guiding them in the design and development of their product/platform areas and in the management of their own reports
- Lead and manage hiring efforts for engineers on the Agentic Foundations team, including finding interview panelists, writing interview guides and questions, and assisting with coding screening questions
- Own and manage offshore reliability engineering teams
- Provide in-depth technical leadership in the scoping and implementation of enterprise-grade solutions to support agents across the Kroger enterprise
- Maintain an up-to-date expertise on agentic workflows, frameworks, platforms, and best practices to identify and inform new capabilities for implementation
- Lead the abstraction of tooling and services to user-friendly interfaces like APIs, Python packages, or UIs
- Guide the development teams to follow software development standards, including version control, documentation, testing, and support
Requirements
- 7+ years professional experience with cloud-based software architecture focused on scalability, performance, and reliability
- 7+ years professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
- Professional experience with production-grade agentic systems, including concepts like design and development, evals, deployment, and monitoring
- Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
- Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
- Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
- Professional experience with Kubernetes (AKS) and Helm
- Professional experience with Python
- Professional experience with infrastructure-as-code using Terraform
- 7+ years professional experience with large-scale AI/ML systems, including 2+ years with GenAI and deep learning methods
- Professional experience leading technical teams and consulting with customers, including managing senior engineers, communicating complex technical topics, and driving outcomes in ambiguous environments
- Skilled in partnering with product management peers to jointly define product and team direction and priorities
Compensation
- $162,000 - $262,000 USD
Benefits
- Medical: with competitive plan designs and support for self-care, wellness and mental health.
- with in-network and out-of-network benefit.
- Health Savings Account with matching contribution (requires participation in qualifying medical plan).
- Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
- Paid leave for maternity, paternity and family care instances.
This listing is sourced directly from 84.51°'s careers page and normalized into a canonical job model.