Senior DevOps Engineer – LLM & Generative AI 🇪🇺
📍 Location: Fully remote (EMEA)
💼 Employment Type: Permanent or B2B Contract
💰 Base: €65k – €75k per annum + benefits (listed below)
📅 Start Date: Immediate/negotiable
🚀 About the Role
We’re on a mission to build world-class AI-driven products — serving tens of millions of users and redefining the future of intelligent infrastructure. We’re looking for an experienced Senior DevOps Engineer who thrives in a high-growth, fast-paced environment and is passionate about building scalable, resilient systems that empower engineering teams to deliver value continuously.
As a Senior DevOps Engineer, you’ll be instrumental in shaping our cloud infrastructure, enhancing operational excellence, and enabling development teams to ship with confidence. This role blends hands-on technical work with strategic influence over how we build, deploy, monitor, and scale core platform services.
🧠 What You’ll Be Doing
Collaborate closely with engineering teams to provide infrastructure support and operational excellence.
Manage, monitor, and scale existing services to ensure high availability and performance.
Provision infrastructure and platform services using Infrastructure as Code (IaC), with a strong focus on quality, security, and automation.
Participate in and influence architectural decisions, tooling, and best practices across CI/CD, observability, and deployment workflows.
Identify bottlenecks and opportunities to improve the reliability, latency, and scalability of our cloud environments.
Bring new ideas and experiment with cutting-edge tooling and approaches to accelerate delivery flows.
🔍 Who You Are
We’re seeking someone with a strong blend of technical depth, practical experience, and an ownership mentality:
Must-Have Qualifications
5+ years of experience in DevOps, Site Reliability, or infrastructure engineering roles.
Demonstrated expertise with public cloud environments (AWS / GCP / Azure).
Hands-on experience with Kubernetes, GitOps workflows, and IaC tools such as Terraform and Helm.
Strong observability skills (logs, metrics, tracing) and experience in instrumenting production systems.
Ability to read and understand application code (e.g., Go, Python, shell) — and collaborate effectively with development teams.
Fluent English communication skills and a collaborative, feedback-driven mindset.
Nice-to-Have
Background in NLP/ML deployment, GenAI, or associated MLOps workflows.
Experience working across time zones (±4 CET overlap preferred).
🌟 What We Offer
Fully Remote — work from wherever you do your best thinking.
Flexible Contracting — B2B or alternative arrangements considered based on candidate fit.
Generous Time Off — 4 weeks (20 working days) of paid leave per year.
Annual Team Gathering — connect in person, collaborate, and celebrate.
Health & Wellness Support — up to $200/year for wellbeing, plus unlimited 1:1 sessions with professionals.
Workspace Budget — co-working and home setup support.
Learning Budget — funding for courses, books, conferences, and continuous growth.
AI Tools Access — premium access to industry-leading platforms to accelerate your workflow.
💡 Why This Role Matters
This is not just about keeping the lights on — it’s about building a foundation that enables world-class engineering, reliability at scale, and sustainable innovation. You’ll work alongside passionate engineers, cross-functional teams, and leaders who push boundaries — while having real autonomy to shape how we operate and deliver impact.
👉 Apply
SourceIn (sourcein.co) has been formally appointed by the client to provide recruitment and candidate pre-screening services for this role.