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Kynetec

DevOps Engineer

Kynetec
Italy · Full-time · Associate

Our Company

At Kynetec, we're proud to be at the forefront of the intersection between agriculture, sustainability, and animal health. We’re redefining our industry with unparalleled insights and leading technology, whilst on an ambitious growth plan to supersede our influence from the food on our plates, to the health of our livestock and the care of our beloved pets at home.


We owe our success to our industry experts. They are the driving force behind our reputation as a global leader in the industry - Their innovative ideas and expertise have helped us achieve new heights. From seasoned insights specialists, and client leaders to innovative tech genius. What connects us? A shared passion for Agriculture and Animal Health! We don’t settle for “business as usual”.


Each day, we are taking strides towards transforming our industry and improving the lives of people and animals around the world. If you’re looking for a company who challenges the norm and fosters a culture of innovation, Kynetec is the place for you.


The Role

We are seeking a skilled DevOps Engineer to manage and optimize our cloud infrastructure, primarily on AWS with Azure experience as a plus. This role involves designing, implementing, and maintaining robust CI/CD pipelines, automating deployments, managing Git repositories, ensuring infrastructure security and reliability, and closely collaborating with development and global infrastructure teams.


Responsibilities

• Collaborate with the global infrastructure team to design, implement, and maintain cloud infrastructure primarily on AWS; Azure experience beneficial.

• Create and optimize CI/CD pipelines using tools such as AWS CodeBuild/CodePipeline.

• Automate application deployment using automation tools like Ansible and Terraform.

• Manage and secure Git repositories.

• Administer and support cloud services including AWS Lambda, RDS, S3, Managed Apache Airflow, Secrets Manager, App Config, VPC, CloudFront, API Gateway, Certificate Manager, and Route 53.

• Monitor, troubleshoot, and ensure the availability and performance of cloud infrastructure.

• Manage and integrate Snowflake (user management, Azure AD integration, security practices, RBAC, query management) and Databricks environments (account management, GIT integration, PAT/OBO tokens, Databricks CLI).

• Maintain and troubleshoot Apache Airflow environment, manage init scripts, monitoring, and logging.

• Collaborate closely with Infrastructure and Development teams to implement best practices in DevOps.

• Create and maintain comprehensive technical design and support documentation.

• Stay current with emerging technologies and trends in DevOps and cloud computing.


Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field.

• Minimum 5 years of professional experience in DevOps Engineering.

• Proven hands-on experience with AWS cloud infrastructure (Lambda, RDS, S3, VPC, API Gateway, CloudFront, etc.).

• Proficiency in setting up and maintaining CI/CD pipelines using AWS CodeBuild, CodePipeline, and similar technologies.

• Strong experience with infrastructure automation tools like Terraform and Ansible.

• Strong knowledge and experience managing Git repositories.

• Advanced scripting capabilities (Python, Bash).

• Experience managing Snowflake and Databricks platforms (accounts, integrations, security, and querying).

• Experience maintaining Apache Airflow for data pipeline workflows.

• Proven experience with monitoring, logging, and troubleshooting cloud infrastructure.


Preferred:

• Certifications in AWS and/or Azure (e.g., AWS Solutions Architect, Azure Administrator).

• Experience managing Azure infrastructure.

• Familiarity with RBAC, service principals, and security best practices in cloud environments.

Key Skills

Ranked by relevance

cloud aws git devops apache cicd s3 security practices terraform ansible python
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Posted
Mar 31, 2025
Type
Full-time
Level
Associate
Location
Italy
Company
Kynetec

Industries

Market Research Data Infrastructure Analytics

Categories

Information Technology

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