Ktd/Senior Advanced Software Engineering Manager

Kroger•Blue Ash, OH

About The Position

Direct and manage the software design, development, implementation and support of multiple teams and/or their supporting processes to meet organizational expectations. Lead the strategic direction and function as a liaison across the Technology and Digital organization, and business stakeholders. Lead and uphold the associate continuous high-performance process. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety. Lead software engineering teams responsible for the design, development, implementation, support, and modernization of Finance & Accounting technology solutions. Provide technical leadership for cloud-native applications built on Microsoft Azure utilizing Java, React, APIs, and modern integration architectures. Partner with Product Management to translate product roadmaps and business requirements into scalable technology solutions. Lead engineering efforts supporting Finance & Accounting data products and data domains leveraging Azure Databricks and modern cloud data architectures. Ensure applications and data platforms meet reliability, scalability, security, compliance, and operational excellence standards. Drive adoption of Agile, DevOps, CI/CD, automation, observability, and modern software engineering practices. Lead engineering teams responsible for delivering Generative AI and Agentic AI capabilities that automate Finance & Accounting processes and accelerate business insights. Oversee the development and support of AI-powered solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and agent-based architectures. Partner with Enterprise Architecture, AI Governance, and platform teams to ensure AI solutions align with enterprise standards, security requirements, approved technology patterns, and Responsible AI practices. Recruit, develop, mentor, and retain high-performing engineering talent while fostering a culture of innovation, accountability, and continuous improvement.

Requirements

Bachelor's Degree computer science, information systems, or related technical field
High School Diploma or GED
Any direct technical experience in related disciplines
5+ years of experience in eCommerce, retails systems or high transaction software solutions
8+ years of experience in administrative management of technical teams and/ or extended staff
Any extensive experience leading technology initiatives
Solid administrative and project management skills
Proven track record of delivering objectives on time and within budget
Excellent communication and presentation skills to effectively communicate information to customers and to all levels within the organization
Comfortable managing team members with different skill sets and technical areas of focus and expertise
Proven knowledge of multiple programming languages and frameworks as either a developer or manager
Understanding and practice with agile software development and management
Experience building and supporting enterprise applications utilizing Microsoft Azure.
Experience with Java-based backend development, React front-end development, APIs, microservices, and event-driven architectures.
Experience leading cloud modernization and digital transformation initiatives.
Experience building and supporting solutions utilizing Azure Databricks.
Experience with enterprise data products, data domains, data governance, metadata management, and data quality frameworks.
Experience integrating operational applications with Databricks to enable reporting, analytics, AI, and self-service data capabilities.
Experience with Delta Lake, Unity Catalog, and modern cloud data platform architectures.
Experience designing, developing, and operationalizing Generative AI and Agentic AI solutions in enterprise environments.
Experience leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and agent evaluation frameworks.
Experience building AI-powered workflows and autonomous agents utilizing LangChain, LangGraph, and LangSmith.
Experience implementing governance, testing, monitoring, observability, and operational support models for enterprise AI solutions.
Experience integrating AI agents with enterprise applications, APIs, Azure Databricks, and enterprise knowledge repositories.
Experience supporting Finance & Accounting applications, financial reporting systems, ERP platforms, audit solutions, data platforms, or enterprise business applications.
Familiarity with Oracle ERP, Oracle EBS, Oracle Cloud, or similar enterprise financial platforms.
Understanding of financial controls, audit requirements, and compliance requirements.
Experience leading large-scale enterprise technology initiatives.
Experience managing distributed engineering teams and vendor partners.
Proven ability to develop engineering talent and build high-performing teams.
Strong stakeholder management skills with the ability to collaborate across Product Management, Architecture, Data Engineering, Security, and Infrastructure organizations.

Nice To Haves

Any experience in a software development position

Responsibilities

Manage development and support team(s) and associates who are responsible for all phases of the system development and implementation process including analysis, design, development, implementation, testing, and ongoing support
Lead multiple product domains, development projects/initiatives, working closely with technology and business/product management to identify and translate complex business requirements into architectural design
Provide technical consulting and leadership, identifying and implementing new uses of information technologies that assist the functional business units in meeting their strategic objectives
Manage relationship with business stakeholders and third parties (as appropriate), ensuring high standards and quality of technical solutions, keeping abreast of latest technology developments
Drive technology change management and collaborate with business stakeholders to ensure processes are in place to reduce performance and production incidents
Act as an expert on the products and features teams and associates are building to solve the user problems identified with your product management partner
Work with Product Management to prioritize, scope and plan business milestones
Support timely delivery of software solutions to deliver business needs, while providing a transparent view to progress
Administer all facets of associate administration including hiring, performance management, resource allocation and associate development
Monitor systems performance and resolution of production incidents, which may require 24 hr/7-day week coverage
Drive continuous organizational improvements
Maintain regular communications to team members regarding the enterprise and technology initiatives
Supervise and coach direct reports in the performance of their duties; complete performance reviews and provide feedback to direct reports
Must be able to perform the essential job functions of this position with or without reasonable accommodation
Provide technical leadership for cloud-native applications built on Microsoft Azure utilizing Java, React, APIs, and modern integration architectures.
Partner with Product Management to translate product roadmaps and business requirements into scalable technology solutions.
Lead engineering efforts supporting Finance & Accounting data products and data domains leveraging Azure Databricks and modern cloud data architectures.
Ensure applications and data platforms meet reliability, scalability, security, compliance, and operational excellence standards.
Drive adoption of Agile, DevOps, CI/CD, automation, observability, and modern software engineering practices.
Lead engineering teams responsible for delivering Generative AI and Agentic AI capabilities that automate Finance & Accounting processes and accelerate business insights.
Oversee the development and support of AI-powered solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and agent-based architectures.
Partner with Enterprise Architecture, AI Governance, and platform teams to ensure AI solutions align with enterprise standards, security requirements, approved technology patterns, and Responsible AI practices.
Recruit, develop, mentor, and retain high-performing engineering talent while fostering a culture of innovation, accountability, and continuous improvement.