Open role

Platform / DevOps Engineer

This role helps build Lucy, the proactive AI coach from Lucy Labs that lives on your desktop as a cloud-backed app, while the product is in development with design partners.

Owns infrastructure, pipelines and the reliability everyone ships on.

Apply for this role All roles

Planned work

About the role

At Lucy Labs, this role owns the purpose described below.

The Platform / DevOps Engineer at Lucy Labs builds and owns the infrastructure and automation systems that enable fast, reliable product delivery. This role ensures our engineering teams can ship safely and with confidence by creating scalable deployment pipelines, observability systems, and platform reliability practices.

This is a hands-on engineering role focused on building leverage for the entire product and platform team. The Platform / DevOps Engineer is not just responsible for tooling; they are responsible for engineering velocity and platform stability.

The mission

At Lucy Labs, this role's mission is defined by the outcome and work below.

Build and scale DevOps foundations that:

Enable rapid product iteration and delivery
Improve platform stability, uptime, and resiliency
Automate deployment and testing workflows
Support hybrid compute (local + cloud + AI infrastructure)
Increase engineering speed and reduce operational friction

What you'd own

At Lucy Labs, this role turns its mission into concrete responsibilities in each area.

1. CI/CD and Release Automation

For 1. CI/CD and Release Automation, Lucy Labs expects this role to own the responsibilities below.

Build and maintain CI/CD pipelines for automated testing and deployment
Improve build speed and deployment reliability
Standardize release workflows across engineering
Enable safe feature rollout (feature flags, release channels)

2. Infrastructure Management

For 2. Infrastructure Management, Lucy Labs expects this role to own the responsibilities below.

Build and manage cloud infrastructure (AWS/Azure/GCP)
Implement infrastructure as code (Terraform or Pulumi)
Design scalable environments for development, staging, and production
Optimize infra performance and cost

3. Observability & Reliability

For 3. Observability & Reliability, Lucy Labs expects this role to own the responsibilities below.

Implement logging, monitoring, tracing, and alerting systems
Build dashboards for service health and performance
Manage incident response and postmortem processes
Improve platform SLAs and response time

4. AI Productionization Support

For 4. AI Productionization Support, Lucy Labs expects this role to own the responsibilities below.

Support deployment of AI services (LLM orchestration, inference APIs)
Build infrastructure for evaluation and AI quality monitoring
Manage GPU resources and model serving optimization
Implement guardrails and safety checks in pipelines

5. Security & Compliance

For 5. Security & Compliance, Lucy Labs expects this role to own the responsibilities below.

Implement DevSecOps practices
Manage secrets, identity, and access security
Ensure compliance-ready systems (SOC2-ready approach)
Support data protection and safety

What success looks like

Lucy Labs defines these milestones as role outcomes, not metrics for measuring the person.

60 days: CI/CD pipeline live with automated deployments
90 days: Monitoring and alerts in place for key systems
6 months: Strong engineering velocity with reliable releases
12 months: Production-grade DevOps systems powering scale

Experience and fit

Lucy Labs looks for the essential experience listed here and treats the rest as helpful, not an automatic barrier.

Must have

Strong DevOps engineering experience (CI/CD, cloud, IaC)
Experience with modern automation tools (GitHub Actions, Argo, CircleCI)
Strong skills in AWS/Azure/GCP architecture
Experience with Docker and container orchestration
Knowledge of modern observability tools (Grafana, Prometheus, Datadog, etc.)

Nice to have

Experience with AI production systems
Kubernetes experience
Security automation experience
Startup or high-growth environment experience

How you work

Lucy Labs looks for these working traits alongside technical experience.

Role DNA

Lucy Labs evaluates these traits as part of the fit for this role.

System thinker
Obsessed with automation
Reliable and disciplined engineer
Builder mindset
Ownership mentality

Leadership principles for the role

Lucy Labs expects this role to apply the following leadership principles.

Automate everything repeatable
Reliability is a feature
Clarity over complexity
Speed with safety
Own the pipeline, enable the product

Key technologies

Lucy Labs uses the following technologies within this role’s scope.

Cloud: AWS (EC2, RDS, S3, Lambda, CloudWatch)
IaC: Terraform or Pulumi
CI/CD: GitHub Actions
Containerization: Docker
Monitoring: DataDog, Sentry
Databases: PostgreSQL (RDS), Redis

Next step

Apply for this role

The Lucy Labs application form opens with this role already selected. You can review the message before sending it.

Apply for this role

Frequently asked questions

Is this role open at Lucy Labs?

Yes. Lucy Labs confirmed this role is open on 25 August 2026.

Where does Lucy Labs base this role?

Lucy Labs bases this role in Madrid, Spain. The exact working arrangement is confirmed during the application conversation.

What does this role own at Lucy Labs?

At Lucy Labs, this role has one central responsibility: Owns infrastructure, pipelines and the reliability everyone ships on. The full description sets out the mission, responsibilities, and relevant experience.

How do I apply to Lucy Labs?

At Lucy Labs, use the application form. The role is selected automatically, and you can review it before sending.