What You'll Do:
- 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
We're Looking For:
- 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)
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
What We Offer:
- 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
Top Skills
What We Do
We know that you’ll have looked at quite a few company pages but IDT is different. We want people who want to make a big difference to our company with big ambitions. We’re a truly global team, with 1300 people working across all continents, apart from (at the moment!) Antarctica. But we are proud that despite our size, we encourage and support any in-house entrepreneurs to develop their ideas into business action. Our exciting growth plans make it a great time to join us.
Our people are the reason for IDT’s passion for success. The IDT family is made up of people of all backgrounds, expertise, and interests, all with a relentless team spirit. We need people who share both our commitment to success and excitement about our journey. You won’t ever be bored or have to wonder how to fill your time. You’ll find the work challenging but you’ll get the support of a great team to help you beat those challenges. You will also be expected to support others as well as work hard, work well and work with a smile.
If you want a join a company that will help you become your brilliant best and achieve amazing results, then you want to join IDT.
