Director - Software Engineering

Kodiak Solutions

About The Position

The Director of Software Engineering leads multiple software engineering teams in designing, developing, delivering, and evolving scalable, secure, high-performing enterprise software solutions. The role combines people leadership, technical depth, Agile execution, and strategic thinking. It includes developing engineering managers and software engineers and partnering with Product, Architecture, Data Engineering, Security, and business leaders to translate priorities into effective technical solutions. The Director leads engineering strategy and delivery across teams, maintains technical involvement in architecture and engineering decisions, and promotes modern software development practices. The role also oversees teams building applications and services that integrate with Snowflake and cloud-based data platforms, and fosters a culture of technical excellence, collaboration, ownership, and continuous improvement.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience.
10+ years of progressive software engineering or technology experience, including significant experience developing enterprise or SaaS applications.
5+ years of engineering leadership experience, including responsibility for engineering managers and/or multiple software development teams.
Demonstrated experience leading teams in an Agile/Scrum software development environment.
Experience leading teams responsible for the architecture, development, testing, deployment, and support of production software applications.
Experience with modern cloud-based software and data architectures.
Experience leading teams developing applications or data solutions utilizing Snowflake.
Strong understanding of APIs, databases, data integration, distributed systems, and modern application architectures.
Experience with DevOps and CI/CD practices and tools such as Azure DevOps or Jira and Git-based source control.
Demonstrated ability to translate business requirements into technical strategies and execution plans.
Proven ability to lead complex initiatives involving multiple engineering teams and business stakeholders.
Strong communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.

Nice To Haves

Experience with Microsoft Azure and technologies such as Azure Functions, Azure SQL Database, Azure Data Factory, API Management, Service Bus, or Azure Data Lake.
Experience with Snowflake, dbt, SQL, Python, and modern data engineering or data integration architectures.
Experience leading engineering organizations in healthcare technology, healthcare revenue cycle, finance, analytics, or other highly regulated environments.
Experience developing cloud-based SaaS products at enterprise scale.
Understanding of healthcare security, privacy, interoperability, or compliance requirements, including HIPAA and healthcare data standards.

Responsibilities

Lead, develop, and mentor engineering managers, technical leads, and software engineers across multiple teams.
Establish and execute engineering strategies aligned with product and business objectives.
Provide technical leadership for complex initiatives spanning multiple engineering teams and technology domains.
Participate in architecture, application design, data architecture, security, scalability, and engineering discussions.
Partner with Product Management, Architecture, Data Engineering, Security, and business stakeholders to define technical priorities and delivery roadmaps.
Drive technical decisions that balance scalability, maintainability, performance, security, cost, and speed to market.
Establish and use engineering metrics to improve delivery predictability, software quality, team effectiveness, and operational performance.
Lead teams in an Agile/Scrum product development environment and promote effective Agile practices.
Partner with Product leaders and Product Owners to align product priorities, technical requirements, engineering capacity, and delivery commitments.
Create accountability for commitments and the definition of done while supporting continuous improvement.
Identify and remove organizational or technical barriers affecting engineering velocity and delivery.
Provide technical oversight for scalable enterprise and SaaS application design and development.
Champion automated testing, code reviews, source control, CI/CD, observability, DevOps, and secure software development.
Partner with architects and senior engineers to establish engineering standards, reusable patterns, and technical best practices.
Guide teams in addressing technical debt and balancing immediate product needs with long-term platform sustainability.
Ensure solutions meet standards for availability, performance, scalability, security, and maintainability.
Lead teams building applications and services that integrate with Snowflake and modern cloud-based data platforms.
Partner with Data Engineering and Analytics teams on data accessibility, application integration, data quality, performance, and governance.
Develop teams capable of working with technologies such as Snowflake, SQL, dbt, Azure Data Factory, APIs, and cloud-native services.
Promote performance, security, access-control, and cost-management practices across cloud and data solutions.
Recruit, develop, coach, and retain high-performing engineering talent.
Build leadership capability among engineering managers, technical leads, and senior individual contributors.
Set expectations and accountability for technical quality, execution, collaboration, and professional development.
Conduct performance and development discussions and create career-growth opportunities.
Foster a culture of technical excellence, innovation, collaboration, ownership, transparency, and continuous improvement.
Help design engineering team structures that support current business priorities and future growth.