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DevOps / ML Infrastructure Engineer @ - polska - IDT Corporation
Opis
Remote work flexibility – work from anywhere- B2B contract with competitive gross compensation in USDTop-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
Why This Role:
This position offers a unique opportunity to work at the intersection of traditional DevOps and MLOps.
You'll maintain critical infrastructure while building expertise in ML infrastructure, model deployment, and workflow integration.
You'll complement our MLOps Architect by handling general infrastructure needs while growing your ML platform skills, ultimately enabling faster delivery of ML capabilities across the organization.
A few words about us:
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers.
We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
We are not "another big IT corporation"— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
We understand the challenge of being apart from those who matter most. Boss Revolution is our flagship brand. It includes International Calling, Mobile Top Up, and Money Transfer services.It enables people to keep in touch with family and friends around the world as well as to send money to more than 50 countries with low fees and great exchange rates.
Secure Global Money Transfers with Cutting-Edge Technology and join our mission to protect cross-border transactions, helping customers send money safely worldwide.
As DevOps & ML Infrastructure Engineer in our AI Lab, you'll maintain and scale our infrastructure while enabling seamless ML model integration into production workflows.
You'll work alongside our Senior MLOps Architect to build a comprehensive ML platform that serves multiple teams across the organization.
In this role we're looking for:
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)
It would be a plus:
Experience with Apache Flink, Kafka, or other stream processing frameworks
Understanding of ML lifecycle:
model training, evaluation, deployment patterns
Experience with workflow engines or rule engines
Knowledge of fraud prevention, fintech, or compliance domains
Understanding of feature stores, ETL pipelines, and data engineering concepts
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
Why This Role:
This position offers a unique opportunity to work at the intersection of traditional DevOps and MLOps.
You'll maintain critical infrastructure while building expertise in ML infrastructure, model deployment, and workflow integration.
You'll complement our MLOps Architect by handling general infrastructure needs while growing your ML platform skills, ultimately enabling faster delivery of ML capabilities across the organization.
A few words about us:
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers.
We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
We are not "another big IT corporation"— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
We understand the challenge of being apart from those who matter most. Boss Revolution is our flagship brand. It includes International Calling, Mobile Top Up, and Money Transfer services.It enables people to keep in touch with family and friends around the world as well as to send money to more than 50 countries with low fees and great exchange rates.
,(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
, MLOps & Platform Development:
, 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:
Kubernetes, Docker Containers K8s, Terraform, DevOps, AI, MLOps, CI/CD, AWS Cloud Development Kit, AWS CloudFormation, GitHub Actions, Argo CD, Jenkins, Prometheus, Grafana, Splunk, AWS, Kafka,
Apache Flink Additionally:
International projects, Training budget.
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