Lead Software Engineer – Python (AI Applications)

Primary Responsibilities

Provide engineering leadership, mentorship, technical direction to small team of other engineers (~6 members).

Partner with your Engineering Manager to ensure engineering tasks 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.

Engage in code reviews and training of team members.

Support continuous deployment pipeline code.

Situationally troubleshoot production issues alongside the support team.

Continually research and recommend product improvements.

Create and integrate features for our enterprise software solution using the latest Python technologies.

Assist and adhere to enforcement of project deadlines and schedules.

Evaluate, recommend, and proposed solutions to existing systems.

Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.

Leverage open-source and other technologies and languages outside of the Python platform.

Develop cutting-edge solutions to maximize the performance, scalability, and distributed processing capabilities of the system.

Provide troubleshooting and root cause analysis for production issues that are escalated to the engineering team.

Work with development teams in an agile context as it relates to software development, including Kanban, automated unit testing, test fixtures, and pair programming.

Requirement of 4-8 or more years experience as a Python developer on enterprise projects using Python, Flask, FastAPI, Django, PyTest, Celery and other Python frameworks.

Software development experience including: object-oriented programming, concurrency programming, modern design patterns, RESTful service implementation, micro-service architecture, test-driven development, and acceptance testing.

Familiarity with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.

Proficiency with Git as a version control system

Experience with Docker and Kubernetes

Experience with relational SQL and NoSQL databases, including MongoDB and MSSQL.

Experience with object-oriented languages: Python, Java, Scala, C#, etc.

Experience with testing tools such as PyTest, Wiremock, xUnit, mocking frameworks, etc.

Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI

Excellent problem solving and communication skills.

Experience with Java and Spring a big plus.

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation:

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.