Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery. 

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at the 2025 Computing Magazine DevOps Excellence Awards. With 100+ engineers and 15 years of expertise, we work across Azure, AWS, and GCP, delivering cloud-native solutions at scale.

• Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
• Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
• Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
• Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
• Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
• Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

• Experience in cloud platform engineering, DevOps, MLOps, or a similar field
• Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
• Experience building ML infrastructure and familiarity with machine learning concepts
• Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
• Proficiency in Python programming and familiarity with LLM/MLOps best practices
• Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
• A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

• EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
• Licenses for AI tools: GitHub Copilot, Cursor, and others
• Private medical care with LuxMed
• Kafeteria MyBenefit credits for stores, restaurants, and cafés
• Access to a Multisport membership to stay active
• Glasses reimbursement program
• Referral bonuses for bringing in new talent