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About MLNetworks

At MLNetworks,We help Telcos to design, operate and optimize their networks more intelligently through an end-to-end data platform. We are a fully remote team that prioritizes flexibility and employee wellness, offering competitive salaries, comprehensive benefits, and stock options. Join us and be part of a dynamic team that pushes the boundaries of technology and innovation!

🎭 Role

We are on the lookout for a talented DevOps Software Engineer to join our dynamic team. In this role, you will be instrumental in bridging the gap between software development and IT operations, ensuring our applications and systems are running smoothly and efficiently. Your contributions will enhance the scalability, reliability, and performance of our machine learning platforms, fostering seamless integration and deployment processes.

💻 What You'll Do at MLNetworks

1. Design, implement, and maintain CI/CD pipelines to ensure efficient and automated software delivery.
2. Collaborate with software developers, system operators, and other IT staff members to manage code releases.
3. Monitor system performance and troubleshoot issues to maintain high availability and performance.
4. Develop scripts and automation tools to improve operational processes.
5. Ensure security and compliance standards are maintained across all environments.
6. Optimize infrastructure for cost, performance, and reliability.
7. Stay updated on emerging technologies and advocate for their adoption where beneficial.

✅ Qualifications

1. 3+ years of experience as a DevOps Engineer, Software Engineer, or similar role with a portfolio or examples of past projects.
2. Proficiency in scripting languages such as Python, Bash, or Ruby.
3. Strong experience with infrastructure as code (IaC) tools such as Terraform, Ansible, or CloudFormation.
4. Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
5. Experience with containerization and orchestration tools like Docker and Kubernetes.
6. Skilled in using version control tools such as Git.
7. Strong understanding of CI/CD concepts and tools such as Jenkins, Travis CI, or GitLab CI.
8. Excellent problem-solving, analytical, and time management skills.
9. Bachelor’s degree in Computer Science, Engineering, or relevant field.

As part of MLNetworks, you’ll be joining a team that’s committed to technological innovation and quick adaptation. If you’re enthusiastic about optimizing the infrastructure and deployment processes of cutting-edge machine learning platforms, we would love to have you apply!