DevOps Engineer

CommonShare is building infrastructure for trustworthy, transparent supply chains. We help brands, suppliers, and certifiers work from a shared source of truth on sustainability data, so better products can reach the market faster and with more confidence.We're a small, fast-moving team working at the intersection of technology, sustainability, and commerce.

The Role

We're looking for a DevOps / Platform Engineer to own and evolve the infrastructure behind a new set of data-driven, user-facing workflows and conversational experiences on our platform.

You'll design and operate the cloud environment, CI/CD pipelines, and observability stack that power:

• Configurable, multi-step user interactions
• Data-intensive backend services
• Integrations with AI-powered services and chat-based features

This is a hands-on role with a strong focus on reliability, security, and developer experience.

Responsibilities

• Design, build, and maintain cloud infrastructure
   (e.g., on AWS/GCP) for our core platform and new backend services.
• Implement infrastructure as code
   (Terraform/Pulumi/CloudFormation or similar) to manage environments in a repeatable way.
• Own CI/CD pipelines
   (e.g., GitHub Actions, GitLab CI, CircleCI) to ensure fast, reliable deployments across multiple services.
• Containerize and orchestrate services
   using Docker and (ideally) Kubernetes or a similar orchestrator.
• Set up and improve observability
  : metrics, logging, tracing, alerting, and dashboards so we can see how our systems behave end-to-end.
• Harden security and compliance
  : secrets management, access control, network/security groups, TLS, and least-privilege by default.
• Optimize performance and cost
   of the underlying infrastructure, including databases, caches, and external service integrations.
• Support AI-integrated workloads
   by ensuring reliable connectivity, rate limiting, and graceful degradation when third-party services are slow or unavailable.
• Partner with backend and frontend engineers
   to improve developer experience: local dev setups, staging environments, feature flags, and rollout strategies.
• Participate in incident response and postmortems
  , and help build the tooling and processes to reduce their frequency and impact.

Our Stack

We don't expect you to know every piece, but you should be comfortable in a similar environment:

• Languages / services:
   Ruby, Python, –based backend services
• Data:
   PostgreSQL, Redis or similar in-memory store, possibly search technologies
• Cloud:
   AWS or GCP (VPC, EC2/GKE/EKS, RDS/Cloud SQL, load balancers, object storage, etc.)
• IaC:
   Terraform, Pulumi, or CloudFormation
• CI/CD:
   GitHub Actions, GitLab CI, CircleCI, or similar
• Containers:
   Docker, Kubernetes or another orchestrator
• Observability:
   Prometheus/Grafana, OpenTelemetry, ELK/EFK stack, or comparable tools
• AI / external services:
   Integrations with third-party APIs, including LLM/AI providers

Requirements

• Have 
  4+ years of experience
   in DevOps, Site Reliability, or Platform Engineering roles.
• Have 
  deep experience with at least one major cloud provider
   (AWS or GCP preferred).
• Are comfortable 
  designing and operating production systems
   with high reliability expectations.
• Have strong experience with 
  infrastructure as code
   and 
  CI/CD
   practices.
• Have worked with 
  containerized applications
   and at least one orchestration platform.
• Know your way around 
  PostgreSQL or similar databases
   from an infrastructure standpoint (backups, monitoring, scaling, etc.).
• Have supported 
  backend teams building data-heavy or workflow-heavy applications
  .
• Communicate clearly, document well, and enjoy collaborating across engineering and product.

Nice to Have

• Experience operating 
  conversational or AI-augmented services
   (e.g., systems that rely on LLM APIs or other external ML services).
• Experience with 
  service meshes
  , API gateways, and rate-limiting for external integrations.
• Background in 
  B2B SaaS
  , multi-tenant architectures, or systems with complex permission models.
• Interest or experience in 
  sustainability, supply chains, or certifications
  .

How we Work

• We value 
  ownership
   and give engineers meaningful responsibility over systems and outcomes.
• We ship iteratively and learn from real usage; you'll help define the right guardrails and tooling to move fast safely.
• We're remote-friendly and rely on 
  asynchronous communication and good documentation
  .