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Manager, Software Engineering
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
Über
About the Role: Technical Leadership:
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.
Team Management:
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.
Work and guide 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.
Coaching and Development:
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.
Execution Excellence:
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.
About You: Basic Qualifications:
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, etc.
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.
Including establishing usage norms and measuring productivity impact.
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.
Preferred Qualifications:
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.
Company Overview: UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It’s this expertise that equips our customers with the intelligence to solve any challenge in any industry – because great organizations know their workforce is their competitive edge.
Equal Opportunity Employer: UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View the EEO Know Your Rights poster.
UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process: For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
Compensation and Benefits: The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation.
Learn more about UKG's benefits and rewards at https://www.ukg.com/about-us/careers/benefits.
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Sprachkenntnisse
- English
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