devops engineer for AI solutions

Tremend is a global software engineering hub for Publicis Sapient that delivers complex software solutions supporting digital transformation. It combines engineering expertise, technology, continuous improvement, innovation, and R&D to develop advanced solutions for iconic brands.

• Design, review, and contribute to solution architectures for AI-driven applications focused on Microsoft Azure Cloud;
• Act as a technical lead within an Agile Scrum team, supporting planning, estimation, dependency management, risk mitigation, and continuous improvement;
• Guide engineering teams in adopting and enforcing DevOps, coding, security, and quality best practices;
• Collaborate with software engineers, AI specialists, and stakeholders to design and implement scalable cloud solutions;
• Troubleshoot complex technical issues and provide solutions using Azure services and cloud-native architectures;
• Develop new services, automation tools, and proof-of-concepts;
• Build, maintain, and optimize Infrastructure as Code solutions and deployment pipelines;
• Support feature estimation and sprint planning within Scrum ceremonies;
• Oversee deployment processes and collaborate with Quality Engineering teams to validate and certify releases;
• Participate in release management and contribute to release documentation and notes;
• Monitor, maintain, and continuously improve the reliability, performance, and security of cloud environments.

• Hands-on experience with Microsoft Azure Cloud Services;
• Strong knowledge of virtual networking and DNS, identity and access management, Azure Container Apps, Kubernetes (AKS), App Services, Application Gateway, Web Application Firewall (WAF), and Azure API Management;
• Deep understanding of Azure architecture, cloud security, observability, and cloud-native design principles;
• Proven experience with Infrastructure as Code, preferably using Terraform;
• Experience designing and managing CI/CD pipelines using Azure DevOps Pipelines;
• Strong experience with source control and collaboration platforms such as GitHub;
• Experience deploying, monitoring, and supporting microservices-based applications;
• Experience working within Scrum Agile environments;
• Ability to estimate technical work, identify dependencies, and manage delivery risks;
• Experience managing work items, releases, and project tracking using Jira;
• Excellent communication and stakeholder management skills;
• Strong problem-solving mindset and ability to navigate complex technical challenges;
• Ability to work effectively in cross-functional and distributed teams;
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field;
• Demonstrated experience in cloud infrastructure, DevOps engineering, and modern application delivery practices;
• Nice to have: Relevant Microsoft Azure certifications such as AZ-104, AZ-305, or AZ-400, experience supporting AI, Machine Learning, or Data Science platforms, knowledge of cloud governance, security, and compliance frameworks, experience implementing monitoring and observability solutions in Azure environments, familiarity with enterprise-scale cloud transformation initiatives.

• Flexible schedule;
• Medical subscription;
• Meal tickets;
• Extra vacation days, starting with 25 vacation days;
• Continuous growth and learning opportunities;
• Open feedback culture;
• Room for own initiative and ideas;
• Transparency about results and strategy;
• Recognition and rewards for hard work;
• Many other perks.