Remote Lead DevOps Engineer
JobgetherFinland3 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead DevOps Engineer - REMOTE. In this role, you will be instrumental in shaping the cloud infrastructure and implementing best practices for MLOps. You will collaborate closely with various teams to ensure optimal performance, scalability, and security of applications. This opportunity is perfect for candidates with extensive experience in DevOps, particularly focusing on cloud environments and MLOps solutions. Your expertise will help streamline processes and contribute to the success of innovative projects in the cloud and AI engineering landscape.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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.
Accountabilities
- Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
- Develop and maintain Infrastructure-as-Code using Terraform
- Manage and scale container orchestration environments using Kubernetes
- Ensure cloud infrastructure is optimized, secure, and monitored effectively
- Collaborate with data science teams to support ML model deployment and operationalization
- Implement MLOps best practices, including model versioning and deployment strategies
- Build and maintain automated ML pipelines to streamline model lifecycle management
- 8 to 12 years of experience in DevOps and/or MLOps roles
- Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
- Strong expertise in Terraform, including managing and scaling infrastructure across large environments
- Hands-on experience with Kubernetes in larger clusters
- Strong understanding of containerization technologies (Docker) and microservices architecture
- Solid grasp of cloud networking, security best practices, and observability
- Scripting proficiency in Bash and Python
- Full-time remote work
- Flexible working hours
- Opportunities for continuous learning and development
- Collaborative and innovative team environment
- Exposure to cutting-edge technologies in cloud and AI
- Health and wellness benefits
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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 Skills
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