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Alchemy Cloud

Cloud-based lab software with AI insights

DevOps / Infrastructure Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of experience in DevOps, infrastructure, or site reliability engineering.
  • Experience with Terraform modules, state, multi-environment and multi-region layouts, resource import, state mv/rm, targeted applies, and diagnosing drift in infrastructure not originally created by the candidate.
  • Deep AWS experience with VPC and networking, including peering, NAT, security groups, and network access control lists; IAM; ECS/Fargate; Aurora MySQL including Serverless v2; ALB/NLB; S3; Secrets Manager and SSM; CloudWatch; Lambda; and Batch.
  • Ability to author and deploy CloudFormation templates; legacy templates remain in use.
  • Experience owning CI/CD with GitHub Actions and Jenkins, including building and maintaining pipelines.
  • Bash and Python skills for automation, tooling, and operational glue.
  • Aurora MySQL operations experience, including sizing and scaling, snapshots, clones and restores, failover, connection and pool behavior, and interpreting slow queries; application schema ownership is not required.
  • Incident-management discipline, including scoping by time window, forming a hypothesis, preparing a rollback before making changes, and documenting incidents.
  • Cost awareness as an engineering skill.
  • Practical experience using coding agents, writing clear guidance for them, and building automated checks around their output; sound engineering judgment and human review of production changes are essential.
  • Clear written English and the ability to document systems so others can operate them.

Responsibilities

  • Take end-to-end responsibility for infrastructure operations and improvement.
  • Expand and maintain Terraform coverage, safely bring existing resources under code management, diagnose configuration drift, and maintain CloudFormation infrastructure as it is modernized.
  • Own and improve GitHub Actions and Jenkins pipelines, environment automation, and regular releases across cloud environments.
  • Monitor and troubleshoot application infrastructure, databases, containers, and networking; handle incidents, improve observability, and take substantial on-call responsibility as part of a small team.
  • Improve cloud efficiency through right-sizing, capacity planning, resource lifecycle management, and cost visibility.
  • Support deployments into customer-managed AWS environments and produce technical documentation for customer infrastructure and security teams.
  • Remediate infrastructure and dependency vulnerabilities, strengthen platform security, and support audit evidence and compliance requirements.
  • Build and improve tools for environment management, deployments, and operational visibility.
  • Balance infrastructure modernization with production operations, on-call responsibilities, and internal engineering support, including helping other teams resolve blockers.
  • Document decisions and procedures so others can operate maintained systems.

Desired Qualifications

  • Experience with multi-region operations across the EU and US and data-residency awareness.
  • Experience with AWS GovCloud or other regulated cloud environments, including controlled access and operational requirements.
  • Experience deploying a product into a customer's own cloud account and writing documentation used in the customer's security review.
  • Experience with pull-request-based infrastructure changes and review practices, using plan output as evidence.
  • Experience with SSO/OIDC, CloudFront behavior, and debugging.
  • Experience patching vulnerabilities at the image and dependency level using ECR, Trivy, Scout, Dependabot, or equivalents.
  • Exposure to ISO 27001 or SOC 2 from the engineering side.
  • AWS Solutions Architect or DevOps Engineer Professional certification.
  • Exposure to Azure or GCP.
  • Familiarity with Java or Spring Boot sufficient to read the application and reason about deployment behavior.
  • Experience with WAF and edge security, EKS/Kubernetes, Datadog, or Grafana-stack tools.

About the Company

Alchemy Cloud

Cloud-based lab software with AI insights

Alchemy Cloud provides integrated lab software for applied sciences, serving coatings, food, and beverage industries. Its platform helps product and technical teams streamline workflows, consolidate testing data, and accelerate product development by integrating with lab equipment and applying embedded AI that offers insights and recommendations. The model is subscription-based, with additional services for implementation and customization. Unlike general lab software, Alchemy targets the niche needs of applied sciences companies, offering flexible, customizable workflows and data-management with AI-driven guidance. The company’s goal is to help clients move from testing to faster, data-backed product development by improving data organization, collaboration, and decision-making across the lab.

Company size
11-50
Company stage
Early VC
Total funding
$7.3M
Headquarters
San Francisco, CA
Founded
2017

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