devops engineer

Ai
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 90K

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Bash
Cloud Computing
Computer Clusters
Linux
DevOps
Identity and Access Management
Python
Key Management
Networking Basics
Network Segmentation
Nginx
Reliability Engineering
Prometheus
Software Vulnerability Management
Datadog
Pulumi
Istio
Delivery Pipeline
Large Language Models
Grafana
IT Architecture
Amazon Web Services (AWS)
GIT
Cloudformation
Containerization
AI Platforms
Kubernetes
Linkerd (Service Mesh)
Machine Learning Operations
Api Gateway
Terraform
Docker
Go
Microservices

Job description

infrastructure (networking, compute, storage, Kubernetes, CI/CD) to support rapid product deliveryBuild and operate cloud-agnostic environments (Kubernetes) across VPC, on-prem, and hybrid deploymentsImplement and maintain CI/CD for services and infrastructure (Git Ops preferred), enabling safe and frequent deploymentsDefine "gold standards" for reliability: SLOs/SLIs, incident response, on-call practices, runbooks, and post-mortemsEstablish robust observability (metrics, logs, traces) with actionable alerting and performance monitoringDrive infrastructure-as-code across environments (Terraform/Pulumi/Cloud Formation), including strong review/testing practicesOwn security fundamentals: secrets management, IAM, network segmentation, vulnerability management, and compliance readinessImprove developer productivity with internal tooling, self-service environments, and paved pathsOptimize costs and capacity planning across clusters and workloads (including bursty inference/agent, 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 optimizationPrior experience leading or mentoring engineers (formally or informally)What You'll GetCompetitive base salary (€90,000/yr to €110,000/yr) + performance bonusesAccess to equity/share plan as it rolls outPrivate health insuranceFlexible work set-up + travel when needed (hybrid in Lisbon or Madrid)23 days PTO (excluding local public holidays)Who You AreProactive & strategic: Anticipate scaling challenges and design systems that won't collapse under growth.Technical leader: Raise the bar with strong engineering fundamentals, clarity, and high standards.Accountable & high-ownership: Take responsibility for uptime, security, and delivery outcomes.Builder mentality: Move fast in ambiguity while keeping production safe and predictable.Collaborative partner: Communicate clearly, build trust across teams, and balance pragmatism with long-term vision.Interview Process We keep our process focused and respectful of your time. Most candidates complete it in 2-3 weeks.Here's what to expect:Intro Call - 30 minutes with our team to align on fit and expectationsTechnical Challenge - A practical Dev Ops/SRE design or automation taskTechnical Interview - Deep dive into infrastructure architecture, reliability, security, and delivery practicesLeadership & values interview - Assess alignment with Interactive AI's culture and growth mindsetOffer - Final conversation and offerWe're building a team of builders - people who care about impact, quality, and growth. If that's you, let's talk!"

Requirements

workloads)Mentor and grow a small Dev Ops team, fostering ownership, quality, and pragmatic executionWhat We're Looking For We're seeking a hands-on technical leader with a builder's mindset-someone who thrives in fast-moving environments, can scale systems and practices, and can lead through influence and example.Minimum Requirements5+ years in Dev Ops, SRE, Platform Engineering, or Infrastructure rolesProven track record operating production systems with strong reliability and incident management practicesStrong expertise with Linux, networking fundamentals, and cloud infrastructure patternsDeep knowledge of containerization and orchestration (Docker, Kubernetes)Experience building and owning CI/CD pipelines for microservices and infrastructureProficiency with infrastructure-as-code (Terraform, Pulumi, Cloud Formation)Strong scripting/coding ability (Python, Bash, Go, or similar)Experience with observability stacks (Prometheus/Grafana, ELK/Open Search, Datadog, Open Telemetry

About the company

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