Senior DevOps Engineer

You’ll work closely with AI Engineers, Backend Engineers, and Product teams to support demanding workloads (including LLM/ Agent orchestration) while building a best-in-class AI engineering platform.
Your responsibilities will include:

• Architect and evolve InteractiveAI’s core infrastructure (networking, compute, storage, Kubernetes, CI/CD) to support rapid product delivery
• Build and operate cloud-agnostic environments (Kubernetes) across VPC, on-prem, and hybrid deployments
• Implement and maintain CI/CD for services and infrastructure (GitOps preferred), enabling safe and frequent deployments
• Define “gold standards” for reliability: SLOs/SLIs, incident response, on-call practices, runbooks, and postmortems
• Establish robust observability (metrics, logs, traces) with actionable alerting and performance monitoring
• Drive infrastructure-as-code across environments (Terraform/Pulumi/CloudFormation), including strong review/testing practices
• Own security fundamentals: secrets management, IAM, network segmentation, vulnerability management, and compliance readiness
• Improve developer productivity with internal tooling, self-service environments, and paved paths
• Optimize costs and capacity planning across clusters and workloads (including bursty inference/agent workloads)
• Mentor and grow a small DevOps team, fostering ownership, quality, and pragmatic execution

]]> Minimum Requirements

• 5+ years in DevOps, SRE, Platform Engineering, or Infrastructure roles
• Proven track record operating production systems with strong reliability and incident management practices
• Strong expertise with Linux, networking fundamentals, and cloud infrastructure patterns
• Deep knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience building and owning CI/CD pipelines for microservices and infrastructure
• Proficiency with infrastructure-as-code (Terraform, Pulumi, CloudFormation)
• Strong scripting/coding ability (Python, Bash, Go, or similar)
• Experience with observability stacks (Prometheus/Grafana, ELK/OpenSearch, Datadog, OpenTelemetry, etc.)
• Experience with at least one major cloud provider (AWS, GCP, or Azure)

Additional Requirements (Nice to Have)

• Experience with service mesh, API gateways, or ingress at scale (Istio/Linkerd, NGINX, Envoy, etc.)
• Familiarity with security & compliance practices (GDPR, ISO 27001, SOC 2 readiness)
• Experience supporting GPU clusters or high-throughput compute workloads (a plus for AI platforms)
• Exposure to MLOps/LLM serving infrastructure and performance/cost optimization
• Prior experience leading or mentoring engineers (formally or informally)

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Competitive base salary (€90,000/yr to €110,000/yr) + performance bonuses

Access to equity/share plan as it rolls out

Private health insurance

Flexible work setup + travel when needed (hybrid in Lisbon or Madrid)

23 days PTO (excluding local public holidays)

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Proactive & Strategic: You anticipate scaling challenges and design systems that won’t collapse under growth.

Technical Leader: You raise the bar with strong engineering fundamentals, clarity, and high standards.

Accountable & High-Ownership: You take responsibility for uptime, security, and delivery outcomes.

Builder Mentality: You move fast in ambiguity while keeping production safe and predictable.

Collaborative Partner: You communicate clearly, build trust across teams, and balance pragmatism with long-term vision.

]]> Here’s what to expect:

1. Intro Call – 30 minutes with our team to align on fit and expectations
2. Technical Challenge – A practical DevOps/SRE design or automation task
3. Technical Interview – Deep dive into infrastructure architecture, reliability, security, and delivery practices
4. Leadership & Values Interview – Assess alignment with InteractiveAI’s culture and growth mindset
5. Offer – Final conversation and offer

We’re building a team of builders — people who care about impact, quality, and growth.
If that’s you, let’s talk !]]>