84.51˚
Lead Software Engineer (P2166)
84.51° is a retail data science, insights and media company that helps 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 and first‑party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program, 84.51° delivers customer‑centric insights via 84.51° Insights, 84.51° Loyalty Marketing and the Kroger Precision Marketing media solution.
Responsibilities
Drive product development: Collaborate with product managers and stakeholders to define, scope, and lead new feature development that meets evolving user needs and aligns with enterprise priorities.
Deliver platform‑scale services: Contribute to the implementation and operation of core data platform capabilities using technologies such as Python, FastAPI, Azure Kubernetes Service (AKS), and Databricks.
Promote engineering excellence: Lead by example in writing well‑tested, maintainable code. Champion unit and integration testing and contribute to automated validation pipelines.
Mentor and grow others: Provide coaching, feedback, and technical guidance to junior and mid‑level engineers, fostering a culture of learning and continuous improvement.
Shape how we work: Lead retrospectives and technical design discussions, identifying opportunities to improve delivery pipelines, team workflows, and system reliability.
Drive estimation and execution: Partner with product managers to scope, estimate, and plan releases for mid‑ to large‑scale initiatives, balancing technical constraints with business value.
Innovate with peers: Collaborate across engineering teams to bring new perspectives to shared problems, drive reusability, and contribute to a modern, flexible data management platform.
Elevate platform engineering: Evolve engineering best practices across the team and platform, contributing to a culture of craftsmanship, experimentation, and operational excellence.
Anticipate future needs: Contribute to the evolution of our platform as we prepare for AI‑readiness, including foundational support for intelligent observability and autonomous agents.
Required Qualifications, Skills, and Experience
Bachelor’s degree in computer science, Information Systems, Mathematics, or a related technical field (Master’s preferred).
5+ years of professional software development experience, including ownership of production systems.
Proficiency in Python and experience building APIs using FastAPI or comparable frameworks.
Strong SQL skills and experience working with structured data.
Experience with version control systems (Git, SVN).
Deep familiarity with automated testing frameworks (e.g., Pytest, Unittest).
Understanding of Agile methodologies (Scrum, XP, etc.).
Knowledge of RESTful API design and integration.
Experience with performance tuning, debugging, and dependency management in production environments.
Understanding of CI/CD pipelines and object‑oriented design principles (e.g., SOLID).
Preferred Qualifications
Experience working in cloud environments, especially Microsoft Azure (Function Apps, Service Bus, AKS, etc.).
Experience with Databricks and PySpark for data‑intensive applications.
Familiarity with Domain‑Driven Design and event‑driven architecture.
Exposure to platform engineering or self‑service data tooling is a plus, especially in contexts preparing for AI‑driven data applications or agentic automation frameworks.
Pay Transparency and Benefits
The 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.
Below is a list of some of the benefits we offer our associates:
Health: Medical plan with competitive designs and support for self‑care, wellness and mental health. Dental and Vision plans with in‑network and out‑of‑network benefit.
Wealth: 401(k) with Roth option and matching contribution; Health Savings Account with matching contribution (requires participation in a qualifying medical plan); AD&D and supplemental insurance options.
Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, and 6 company‑paid holidays per year. Paid leave for maternity, paternity and family care instances.
Pay Range:
$121,000—$201,250 USD
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Business Consulting and Services
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Responsibilities
Drive product development: Collaborate with product managers and stakeholders to define, scope, and lead new feature development that meets evolving user needs and aligns with enterprise priorities.
Deliver platform‑scale services: Contribute to the implementation and operation of core data platform capabilities using technologies such as Python, FastAPI, Azure Kubernetes Service (AKS), and Databricks.
Promote engineering excellence: Lead by example in writing well‑tested, maintainable code. Champion unit and integration testing and contribute to automated validation pipelines.
Mentor and grow others: Provide coaching, feedback, and technical guidance to junior and mid‑level engineers, fostering a culture of learning and continuous improvement.
Shape how we work: Lead retrospectives and technical design discussions, identifying opportunities to improve delivery pipelines, team workflows, and system reliability.
Drive estimation and execution: Partner with product managers to scope, estimate, and plan releases for mid‑ to large‑scale initiatives, balancing technical constraints with business value.
Innovate with peers: Collaborate across engineering teams to bring new perspectives to shared problems, drive reusability, and contribute to a modern, flexible data management platform.
Elevate platform engineering: Evolve engineering best practices across the team and platform, contributing to a culture of craftsmanship, experimentation, and operational excellence.
Anticipate future needs: Contribute to the evolution of our platform as we prepare for AI‑readiness, including foundational support for intelligent observability and autonomous agents.
Required Qualifications, Skills, and Experience
Bachelor’s degree in computer science, Information Systems, Mathematics, or a related technical field (Master’s preferred).
5+ years of professional software development experience, including ownership of production systems.
Proficiency in Python and experience building APIs using FastAPI or comparable frameworks.
Strong SQL skills and experience working with structured data.
Experience with version control systems (Git, SVN).
Deep familiarity with automated testing frameworks (e.g., Pytest, Unittest).
Understanding of Agile methodologies (Scrum, XP, etc.).
Knowledge of RESTful API design and integration.
Experience with performance tuning, debugging, and dependency management in production environments.
Understanding of CI/CD pipelines and object‑oriented design principles (e.g., SOLID).
Preferred Qualifications
Experience working in cloud environments, especially Microsoft Azure (Function Apps, Service Bus, AKS, etc.).
Experience with Databricks and PySpark for data‑intensive applications.
Familiarity with Domain‑Driven Design and event‑driven architecture.
Exposure to platform engineering or self‑service data tooling is a plus, especially in contexts preparing for AI‑driven data applications or agentic automation frameworks.
Pay Transparency and Benefits
The 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.
Below is a list of some of the benefits we offer our associates:
Health: Medical plan with competitive designs and support for self‑care, wellness and mental health. Dental and Vision plans with in‑network and out‑of‑network benefit.
Wealth: 401(k) with Roth option and matching contribution; Health Savings Account with matching contribution (requires participation in a qualifying medical plan); AD&D and supplemental insurance options.
Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, and 6 company‑paid holidays per year. Paid leave for maternity, paternity and family care instances.
Pay Range:
$121,000—$201,250 USD
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Business Consulting and Services
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