Manager, Software Development – Python (AI Applications)

Key Skills

Apache Kafka, AWS, Azure, C# Programming, DevOps, Google BigQuery, Google Cloud Platform (GCP), Google Dataflow, Java Programming, Jenkins, Kubernetes-K8s, Leadership Skill, Machine learning techniques, MongoDB, Python Programming, SQL

Job Description

UKG is looking to hire a Manager, Software Development to join our extremely talented Data Science team. As a Manager, Software Development at UKG, you’ll lead a team of software engineers working on our next generation AI Platform. This team will be responsible for building statistical and machine learning models that support product features across the company. You’ll get to work directly with other Development Managers, Architects, Data Scientists, Product Managers, and Directors, all of whom make up the larger team. In this highly collaborative environment, you will have the opportunity to grow as a leader and help mentor others.

The Manager, Software Engineering position requires experience leading software engineering initiatives, knowledge of AI/ML solutions, as well as excellent people and time management skills. The Manager, Software Engineering will be reporting to the Director of AI Engineering and will be a key engineering leader inside the UKG AI value stream. The role requires you to collaborate with other leaders at UKG and guide your team to deliver high quality software solutions in a timely manner. The ideal candidate for the Software Engineering Manager position is passionate about people, process, technology, and delivering customer value.

UKG works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with other Engineering and Product leaders, as well as work closely with other your team members are key components for success in this position.

Primary Responsibilities

• Provide engineering leadership and mentorship to a team of software engineers (~7 members)
• Be a strong engineering leader responsible for executing the UKG AI roadmap using agile practice
• Manage, lead and motivate cross-functional, interdisciplinary teams of software engineers to achieve strategic and tactical business outcomes
• Mentor and grow engineers in your team, fostering a culture of teamwork
• Partner with others at UKG to ensure engineering tasks are understood, broken down, and implemented to the highest of quality standards.
• Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.
• Encourage skill growth of your team members.
• Assist and adhere to enforcement of project deadlines and schedules.
• Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.
• Work with development teams in an agile context as it relates to software development.

Qualifications

• 7-10 or more years experience in the software engineering industry with a record of increasing responsibility leading software development initiatives.
• Experience with Software Development Lifecycle and Machine Learning Lifecycle.
• Experience as a senior software engineer using a popular programming language such as: Python, Java, C#, Scala, etc.
• Software development experience including object-oriented programming, concurrency programming, modern design patterns, RESTful service implementation, micro-service architecture, test-driven development, and acceptance testing.
• Experience with software testing concepts and tools; white/black box, coverage, mocking, PyTest/xUnit, Selenium,
• Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI
• Experience with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.
• Excellent leadership and communication skills.
• Experience with Python would be ideal and Java/Spring a big plus.
• Education/Certification/License
• Bachelors or Masters degree in Computer Science, Mathematics, Computational Linguistics or similar field.