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💼 Full-time🗓 2026-06-25

Core

Build and operate the infrastructure platform powering consumer crypto tax filing and AI-driven personal finance tools, ensuring high availability during peak tax season.

Role type

Senior Infrastructure Engineer (Cloud & AI/ML Foundation)

Builds

GKE clusters, database infrastructure, CI/CD pipelines, and GCP resources for AI/ML experiments

Domain

Fintech, Cloud Infrastructure, AI/ML Operations

Deliverable

infrastructure

Required skills

Kubernetes (GKE), Cloud Platform (GCP), Database Administration, CI/CD Pipeline Management, Autoscaling, Performance Tuning, SLO Management

Preferred skills

AI/ML Infrastructure, Zero-downtime deployment strategies

Technologies

GKE, KEDA, GCP, SQL/NoSQL Databases

Responsibilities

Operate and scale GKE clusters with KEDA-driven autoscaling; Manage database infrastructure including primary instances, read pools, and connection pooling; Establish AI/ML infrastructure foundation by provisioning GCP resources; Improve database performance through tuning and automated regression detection; Maintain 99.9%+ uptime with automated alerting and SLO-based validation; Reduce deployment lead time by streamlining CI/CD pipelines.

Rewrite
## About the role Every year, millions of people use CoinTracker to make sense of their crypto taxes and unlock their financial potential. The infrastructure behind that experience has to hold up. During tax season, load climbs by orders of magnitude in a matter of weeks. As our Senior Infrastructure Engineer, you'll build and operate the platform that powers both our consumer tax product and Nino, our AI-driven personal finance tool. You'll scale our databases, automate our deployments, and stand up the infrastructure foundation for the AI-powered features the product team is building next. This is infrastructure with a direct line to users. When tax season hits or when a user is trying to make a complex financial decision, what you build is what stands between them and confusion. ## Your one-year outcomes - Hold 99.9%+ uptime through tax season (Jan–Apr) with automated autoscaling validation, promotion gates, and SLO-based alerting that catches issues before users do. - Cut deployment lead time by 50% by streamlining our CI/CD pipeline. New features, including AI experiments, ship from staging to production in under an hour with zero-downtime rolling updates. - Establish the AI/ML infrastructure foundation. Provision and operationalize the GCP resources the product team needs to experiment with and ship ML-driven features. - Improve database performance at scale by tuning database read pools, validating connection pooling under load, and implementing automated performance regression detection. ## What you will do - Operate and scale the GKE clusters powering the consumer webapp, with KEDA-driven autoscaling tied to product-dependent load metrics. - Manage the database infrastructure that keeps tax season survivable: primary instances, read pools, connection pooling, and
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