Senior Cloud Infrastructure Engineer

📋 Description

• • Senior Cloud Infrastructure Engineer role focused on building resilient, secure, and scalable infrastructure to support core platform and AI-powered product lines at Hatch Ltd.
• • Evolve cloud infrastructure (AWS & GCP) using infrastructure-as-code tools like Terraform or Ansible; implement systems for compute-heavy and storage-intensive ML and data processing pipelines; manage scalable, secure, and cost-efficient environments across dev, staging, and production; participate in on-call rotation.
• • Collaborate with ML engineers to productionize models and manage workflows across training, testing, and deployment; implement infrastructure for versioning, orchestration, and monitoring of ML models in production using tools like Kubeflow, SageMaker, VertexAI, or custom pipelines; optimize data pipelines and model serving infrastructure for low-latency and high-throughput performance.
• • Drive strategy for observability, logging, and alerting across distributed systems; lead incident response, root cause analysis, and system hardening for long-term resiliency; implement best practices for infrastructure security, container hardening, and network architecture.
• • Partner with engineering teams to bake DevOps best practices into the development lifecycle; build tooling and automation that improves developer velocity, release stability, and system transparency.
• • Hatch is a fast-moving team of builders solving real-world business problems with AI; engineering culture prioritizes operational rigor, clean architecture, and velocity without compromising reliability.
• • Opportunity to work at the intersection of infrastructure and machine learning at a company building real AI products with urgency and purpose; join a culture that expects technical leadership, fast decision-making, and relentless curiosity; partner with high-caliber engineers and product leaders in a tight-knit, fast-executing environment.