Senior Devops Engineer

What You’ll DoAs a Senior DevOps Engineer, you’ll own the design, reliability, and evolution of InteractiveAI’s production infrastructure, ensuring our platform is secure, scalable, observable, and fast to ship. You’ll guide a small, high-impact team of DevOps/SRE engineers, raising standards for uptime, deployment velocity, and operational excellence across cloud and hybrid environments.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 deliveryBuild and operate cloud-agnostic environments (Kubernetes) across VPC, on-prem, and hybrid deploymentsImplement and maintain CI/CD for services and infrastructure (GitOps preferred), enabling safe and frequent deploymentsDefine “gold standards” for reliability: SLOs/SLIs, incident response, on-call practices, runbooks, and postmortemsEstablish robust observability (metrics, logs, traces) with actionable alerting and performance monitoringDrive infrastructure-as-code across environments (Terraform/Pulumi/CloudFormation), 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 workloads)Mentor and grow a small DevOps team, fostering ownership, quality, and pragmatic executionWhat We’re Looking ForWe’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 DevOps, 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, 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 *****, 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 setup + travel when needed (hybrid in Lisbon or Madrid)23 days PTO (excluding local public holidays)Who You AreProactive & 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.Interview ProcessWe 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 DevOps/SRE design or automation taskTechnical Interview - Deep dive into infrastructure architecture, reliability, security, and delivery practicesLeadership & Values Interview - Assess alignment with InteractiveAI’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 !About usInteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.We are building the next generation of enterprise AI solutions, delivering an innovative, scalable, and compliant agentic AI infrastructure to businesses across industries. Our platform allows organisations to build, own, and scale AI that learns from every interaction.We value autonomy, speed, and innovation and are building a world-class team to match. Our squads are lean, focused, and execution-driven. If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes, this is for you.

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 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 *****, 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)

InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles. We are building the next generation of enterprise AI solutions, delivering an innovative, scalable, and compliant agentic AI infrastructure to businesses across industries. Our platform allows organisations to build, own, and scale AI that learns from every interaction. We value autonomy, speed, and innovation and are building a world-class team to match. Our squads are lean, focused, and execution-driven. If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes, this is for you.