Senior Python Software Engineer
3 weeks ago
About the Role :
Ultimate Kronos Group is seeking a highly skilled Senior Python Software Engineer to join our Data Science team. As a key member of this team, you will be responsible for designing, developing, and deploying complex software applications at the enterprise level.
Key Responsibilities :
Collaborate with team members 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.
Write web services, business objects, and other middle-tier framework using Python.
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.
Requirements :
5-8 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.
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