[Hiring] Senior Cloud Infrastructure Engineer @Hatch

Role Description

We’re looking for a Senior Cloud/DevOps Engineer to join Hatch’s high-impact engineering team. This is a senior-level role focused on building resilient, secure, and scalable infrastructure to support both our core platform and AI-powered product lines. You'll partner with engineers, ML practitioners, and product leaders to ensure our systems can scale with the speed of our ambitions.

What You’ll Do

• Infrastructure at Scale
  • 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.
• ML Platform Support
  • 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.
• Reliability & Observability
  • 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.
• Platform Enablement
  • 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.

Qualifications

• 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