Manager, Software Engineering

UKG•Atlanta, GA

1d•$129,500 - $186,100

About The Position

We are seeking a seasoned Software Engineering Manager to join our dynamic team. As a manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact complex projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. We operate in an AI augmented engineering environment where the use of AI-assisted development tools, intelligent automation, and LLM-aided workflows is a first-class practice - not an afterthought. The ideal candidate will model and champion this culture across their team.

Requirements

8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role.
Experience in Data and analytics domain with hand on experience with tools like looker, cognos, PowerBI, or Tableau, ect.
Proven track record of leading and delivering large-scale, complex software projects.
Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript.
Demonstrated experience with AI assisted development tools (e.g., Claude Code, GitHub Copilot, or equivalent) and a proven ability to drive AI tool adoption within an engineering team.
Extensive experience with software architecture and design patterns.
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Strong understanding of cloud technologies and DevOps principles.
Excellent problem-solving skills and attention to detail.
Excellent communication and leadership skills, with a demonstrated ability to influence and drive change.

Nice To Haves

Master’s degree or PhD in Computer Science, Engineering, or a related technical field.
Experience with cloud platforms like Azure, AWS, or GCP.
Familiarity with CI/CD pipelines and automation tools.
Knowledge of agile development methodologies.

Responsibilities

Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code.
Leverage deep experience in the data domain to design and build scalable data pipelines and lead business intelligence initiatives, supporting the growth and optimization of our modern data platform.
Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices.
Lead by example in AI augmented development: use AI tools for architecture exploration, code review acceleration, query optimization, and rapid prototyping of data pipelines and BI logic.
Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications.
Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot).
Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence.
Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework.
Understand CI/CD pipelines from build, test, to deploy phases.
Lead and manage a team of software engineers, fostering a collaborative and high-performance environment. Conduct regular performance reviews, provide feedback, and support professional development.
Foster a culture of service ownership and enhance team engagement.
Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches.
Promote a growth mindset, understanding and driving organizational change.
Actively seek opportunities for team growth and cross-functional collaboration.
Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production.
Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback.
Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies.
Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team.
Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget. Manage team workload and capacity, setting priorities and managing risks and tradeoffs.
Align team efforts with the strategic direction of the company, understanding the big picture and business needs.
Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management.
Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels.
Make deployment decisions with appropriate risk mitigation.