Senior DevOps, ML Infrastructure Engineer – AI Lab

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November 13

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IDT BY INDET GROUP

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Telecommunications • Finance • B2B

IDT BY INDET GROUP is a global company that develops communication and payment services, aiming to unite families and grow businesses worldwide. Founded in 1990, IDT has grown to become the third-largest voice carrier with operations in over 20 countries and an annual revenue of $1. 5 billion. The company is known for its variety of communication tools and financial services, including its flagship brand BOSS Revolution, which offers international calling, mobile top-up, and money transfer services. IDT also provides cloud-based VoIP solutions through Net2Phone, as well as sales management systems and POS equipment for small and medium-sized businesses via National Retail Solutions. Additionally, IDT Express offers voice termination, DIDs, and SMS services globally, while Awards2Go provides custom prepaid Visa cards. Based in Newark, New Jersey, IDT is committed to innovation and quality, serving a diverse, multicultural community.

201 - 500 employees

📡 Telecommunications

💸 Finance

🤝 B2B

📋 Description

• Manage multiple orchestration platforms: Kubernetes in AWS (CloudFormation) and on-prem Kubernetes clusters • Maintain Apache Flink infrastructure (managed in AWS or self-hosted in on-prem Kubernetes) • Handle production support, incident response, and on-call rotations • Perform regular patching activities and security vulnerability remediation • Support and maintain workflow engine infrastructure • Improve observability by utilizing Prometheus, Grafana, Splunk, Slack alerts, etc. • Collaborate with Senior MLOps Architect to build and maintain ML infrastructure • Set up and configure MLflow for experiment tracking and model registry • Build automated MLOps pipelines for model training, experimentation, and deployment (Champion-Challenger, shadow mode) • Support feature calculation pipelines and ETL processes • Enable model serving infrastructure for Python-based ML services

🎯 Requirements

• 3-5+ years of professional experience in DevOps or infrastructure engineering • Strong hands-on experience with AWS services (EKS, ECR, SQS, S3, Managed Kafka, Managed Prometheus) • Deep experience with Kubernetes in production environments (multi-cluster management is a plus) • Proficiency with infrastructure as code: AWS CloudFormation and CDK (AWS Cloud Development Kit) • Experience with containerization (Docker) and container orchestration • Knowledge of setting up and maintaining CI/CD pipelines (GitHub Actions, ArgoCD, Jenkins, etc.) • Hands-on experience with observability tools: Prometheus, Grafana, Splunk • Experience with production support, incident response, and on-call rotations • Strong communication skills (English B2+) • Ability to work collaboratively with cross-functional teams (MLOps engineers, data scientists, software engineers)

🏖️ Benefits

• Remote work flexibility – work from anywhere • B2B contract with competitive gross compensation in USD • Top-tier hardware to support your productivity • A challenging role in a team of skilled professionals with opportunity to grow into MLOps specialization • Direct collaboration with Senior MLOps Architect to learn and contribute to ML platform development • Continuous learning and career growth opportunities • Coverage for professional development: training, seminars, and conferences • Access to high-quality English lessons • Impact: Your work will directly prevent fraud while enabling secure financial access globally