Senior Cloud Infrastructure Engineer

Job not on LinkedIn

🕒 April 3

🇺🇸 United States – Remote

💵 $158k - $216k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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Hatch

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1955

⚡ Energy

☁️ SaaS

Energy • Engineering • SaaS

Hatch is a company focused on performance innovations and engineering solutions aimed at decarbonizing the steel industry and supporting a battery-centric economy. They provide innovative strategies for energy transformation and help cities plan for a sustainable future. By designing low carbon solutions and altering the way industries operate, Hatch is committed to creating a positive impact on the environment and society.

📋 Description

• Evolve our cloud infrastructure (AWS & GCP) using infrastructure-as-code tools like Terraform or Ansible. • Implement systems that support the compute-heavy and storage-intensive needs of machine learning and data processing pipelines. • Manage scalable, secure, and cost-efficient environments across dev, staging, and production. • Participate in an on-call rotation. • Collaborate with ML engineers to productionize models and manage workflows across training, testing, and deployment stages. • Implement infrastructure to support versioning, orchestration, and monitoring of ML models in production (e.g. using tools like Kubeflow, SageMaker, VertexAI, or custom pipelines). • Optimize data pipelines and model serving infrastructure for low-latency and high-throughput performance. • Drive the 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.

🎯 Requirements

• 5+ years of experience in DevOps, SRE, or platform engineering roles in high-growth environments. • 3+ years of experience with AWS infrastructure and services, including networking, IAM, ECS/EKS, and serverless computing. • Strong experience with infrastructure-as-code (Terraform, Ansible) and CI/CD tooling (GitHub Actions, ArgoCD, etc.). • Experience supporting machine learning teams or MLOps platforms (e.g. model training pipelines, feature stores, model registry, online inference). • Strong knowledge of container orchestration (Kubernetes preferred) and observability stacks (Prometheus, Grafana, Sentry, DataDog, New Relic, etc.). • Proven ability to participate in architectural conversations and contribute to large-scale infrastructure improvements. • A bias toward simplicity, security, and reliability — you know when to build fast and when to build right. • Familiarity with at least one programming language; Python, Go, Erlang, Rust, etc. • Exposure to agentic programming workflows. • RHCE, RHCSA, or equivalent certifications preferred.

🏖️ Benefits

• Competitive salary • Remote work environment • Medical, dental, and vision benefits • 401(k) plan + Match • Flexible PTO • Opportunity to build at the ground floor of a high-growth, mission-driven company