GenAI Developer (AI/ML)

- Bachelors degree or equivalent in a technology-related discipline (e.g., Computer Science, Engineering, etc.) - Over 6 years of proven experience in software engineering - Preferred cloud platform experience with certifications (AWS or Azure) - Extensive knowledge of public cloud and cloud infrastructure - Proficient with AI tools (Agentic Workflows Automation, AI Agents, etc.) - Practical experience in one or more programming languages (Python, Java, Go, JavaScript, etc.) - Familiarity with deployment tools such as Udeploy, Kompas, Mario - Hands-on experience with Azure Active Directory - Experience in provisioning compute resources or managing IAAM roles and subscriptions in the cloud - Knowledge of constructing VPCs, private networks, and routing rules within the public cloud - Established background in creating CI-CD pipelines for DevSecOps functions - Strong skills and knowledge of Kubernetes - Experience managing systems through infrastructure as code tools (IAM, ARM, Terraform) - Proven ability in engineering, sizing, installing, configuring, and maintaining mission-critical applications - Understanding of WS Cloud DevOps services including Jenkins, IAM, VPC, ECS, Lambda, RDS, CloudFormation - Familiarity with Docker containers and PaaS technologies like Cloud Foundry, Kubernetes, OpenShift, Rancher is highly desirable - Expertise in production support including incident management, root cause analysis, real-time monitoring, and ensuring high availability and reliability of critical systems in a dynamic environment - Strong analytical, technical, and problem-solving capabilities to identify and resolve cloud-related issues - Skills in instrumentation and operation of monitoring, logging, and alerting services for distributed systems at scale - Demonstrated proficiency with modern monitoring tools (DataDog, Prometheus, Splunk) - Willingness to learn and experiment with new technologies and patterns