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We are building the intelligent backbone that powers and protects millions in cross-border transactions, and your expertise will be critical in shaping its future.
The Mission & Your Impact:
- Today, we build and operate critical systems in the anti-fraud, compliance, marketing, pricing and customer care domains.
- Your mission is to guide us through our next chapter: building a robust Platform that other engineering and data science teams will use to ship their own features.
- You won't just be writing services; you'll be architecting the foundational systems that enable faster, safer innovation across the company
- True Impact: You will have a direct hand in building a platform from the ground up. Your work will enable secure financial access for families across the globe
- Technical Leadership: This is a senior role with high autonomy. We will rely on your skills to guide our architecture and technology choices
- A collaborative environment in a team of skilled, passionate professional
- Platform Core: Design, build, and optimize high-performance Golang microservices that will serve as the backbone for our new platform
- ML Infrastructure: Automate and enhance our MLOps pipeline using MLflow.
- Tackle challenges like dynamic model selection, champion-challenger patterns, and shadow mode deployments to make our systems more agile and intelligent
- Dynamic Workflow Engine: Integrate ML models and business rules directly into our customer verification workflows, moving beyond static configurations to a dynamic, rules-driven system
- Data & Feature Engineering: Develop scalable ETL pipelines and feature stores to power real-time model inference and complex aggregations for compliance monitoring
- Cloud-Native Foundation: Own and evolve our infrastructure on AWS (EKS, Kafka, SQS, OpenSearch, etc.), with a strong focus on observability (Prometheus, Grafana, Splunk), reliability, and incident response
- A proven track record (4+ years) of designing, building, and shipping production-grade systems in Golang
- Deep experience with cloud-native architectures on AWS (or similar), including container orchestration (Kubernetes/EKS) and managed services (Kafka, SQS)
- Strong engineering fundamentals: distributed systems, databases (SQL/NoSQL), and API design
- A passion for solving complex business problems with elegant technical solutions.
- You see the "big picture" without losing sight of the critical details
- Excellent communication skills (English B1+) and the ability to guide technical strategy and mentor peers
- Experience building internal platforms or developer tools for other engineering teams
- Knowledge of ML systems lifecycle (training, serving, monitoring) and tools like MLflow
- Familiarity with workflow engines (e.g., Camunda, Temporal) or rule engines (e.g., Grule, Drools)
- Background in the FinTech, marketing, anti-fraud, or compliance domains
- Hands-on experience with infrastructure-as-code (CDK, Terraform) and a keen sense for operational excellence
- 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
- Continuous learning and career growth opportunities
- Coverage for professional development: training, seminars, and conferences
- Access to high-quality English lessons
Key Skills
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