DevOps Engineer, Budapest

Budapest - Hungary

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Lab49 is looking for a DevOps Engineer to help and support a data science team to move their machine learning MVP and POC from running in a development environment to a fully standalone API service in a production environment.

Key responsibilities:

Architect design develop and deploy DevOps flows to support a data science team.
Actively contribute to the adoption of cloud architecture development and engineering best practices and new cloud technologies.
Provide guidance thought leadership and mentorship to development teams to build cloud competencies.
Define and document best practices and strategies regarding application deployment and infrastructure maintenance.

Required Skills and Experience:

5 years as a technical IC putting software into production.
Proficiency in IaC and cloud technologies.
Good understanding of the AWS ecosystem and Terraform.
Proficient in CI/CD technologies and best practices for deploying software APIs and data pipelines to production.
Proficient with Docker and best practices for creating new API services.
Experience with Python package managers and Python testing frameworks.
Experience with SQL and creating schedule data pipeline jobs that power other systems.

Desired Skills:

Ideally experience with Data Engineering and Machine Learning models MLOps and AIOps (or interested in picking up).
Experience with GenAI technologies and RAG is a plus.

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities abilities cultures and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Key responsibilities:

Architect design develop and deploy DevOps flows to support a data science team.
Actively contribute to the adoption of cloud architecture development and engineering best practices and new cloud technologies.
Provide guidance thought leadership and mentorship to development teams to build cloud competencies.
Define and document best practices and strategies regarding application deployment and infrastructure maintenance.

Required Skills and Experience:

5 years as a technical IC putting software into production.
Proficiency in IaC and cloud technologies.
Good understanding of the AWS ecosystem and Terraform.
Proficient in CI/CD technologies and best practices for deploying software APIs and data pipelines to production.
Proficient with Docker and best practices for creating new API services.
Experience with Python package managers and Python testing frameworks.
Experience with SQL and creating schedule data pipeline jobs that power other systems.

Desired Skills:

Ideally experience with Data Engineering and Machine Learning models MLOps and AIOps (or interested in picking up).
Experience with GenAI technologies and RAG is a plus.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.