Senior/ Middle Golang Engineer (AI Labs)

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

What You'll Build & Own:

• 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.

We're Looking For:

• 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.

It Would Be a Major Plus If You Have:

• 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.

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.
• Continuous learning and career growth opportunities.
• Coverage for professional development: training, seminars, and conferences.
• Access to high-quality English lessons.