Full-time Department: Engineering Operations Dept: Engineering Operations Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any applicationor network, before employees notice the issue. As the first solutionto allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,500 customers to provide better digital experiences to more than 25+ millionemployees.

Nexthink helps IT teams delight people at work. Behind that promise sits a platform that takes in trillions of events a day from more than 15 million devices, and the Cloud Infrastructure group is the reason the whole thing stays up. The company has grown from on-prem to cloud and is now bringing more intelligence into the platform, so there is plenty of genuinely interesting work to do on the layer underneath it all.

About the team The Data Infrastructure team looks after the data backbone: how those events are taken in, processed, stored, and served, and everything that keeps them reliable, fast, and affordable to run. When a piece of data infrastructure becomes important enough that several teams depend on it, looking after it properly becomes our job. Today that estate covers Kafka (Amazon MSK), ClickHouse (on Amazon EKS), Amazon Aurora, and MongoDB (Atlas) across several AWS regions.

We are now adding search, vector, and in-memory stores (OpenSearch, Redis, ElastiCache) to support new product work. We like DevOps and CI/CD, we automate the things worth automating, and above all we care about doing the work well. When a product team promises customers high availability for what they have built, that promise only holds if the Kafka, the databases, and the streaming underneath hold too.

Design and improve our data infrastructure alongside the Architecture, Product Engineering, and Security teams, following cloud-native good practice. Build the tooling and automation that provisions and scales it,



with a real focus on resilience and elasticity, and make it self-service (Crossplane) so product teams can build on it with confidence. Bring in and run new kinds of data store (search, vector, in-memory and caching) to the same standard as everything else we look after.

Keep an eye on availability, performance, and observability (Datadog) so you spot trouble before it turns into an incident. A few things that are true about this team and, we think, make it a good place to build: It is a small team with real ownership. We spend a lot of time with the teams who build on us, including a good deal of design work together, so the platform grows around what people genuinely need.

The scale keeps it interesting. We run across several regions on modern AWS tooling, which is a good deal more involved, and more rewarding, than a single-region setup. Our task is to take it from good to really good, so the problems are about pushing things further rather than wiring up the basics.

We do it carefully, because infrastructure is not somewhere to be careless. A solid cloud infrastructure background and good software-engineering habits, usually around 5+ years as a Software, DevOps, Platform, or Site Reliability Engineer. A Computer Science degree or the equivalent in real experience.

Hands-on AWS across several regions, with infrastructure as code (Terraform or OpenTofu) and pipelines (GitHub Actions, GitOps / Flux). Our platform runs entirely on AWS. Kubernetes and Amazon EKS on Linux with containers (Docker): running, upgrading, and patching workloads in production.

Confidence in Go and/or Python. Clear thinking and good communication, and the organisation to keep several things moving at once, all in English.

Experience running distributed and streaming systems,



especially Apache Kafka (AWS MSK). Running database clusters (Amazon Aurora, ClickHouse, MongoDB and the like): configuration, backup and restore, and day-to-day production operations, including operators for data systems on EKS. Familiarity with search or vector databases (OpenSearch, Elasticsearch) and in-memory or caching stores (Redis, Amazon ElastiCache).

We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace.

Permanent

Contract and a competitive compensation package. Amazing centrally located offices near the Bernabeu Stadium.

Private Health

Insurance (Sanitas) and daily meal vouchers of 11 EURwill be entirely covered by us. Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding.

Versátil

Hours and unlimited vacation (employees have unlimited paid time off on top of the 23 days of holidays we offer)plus 3 company-paid volunteer days. Reimbursement of up to 50% of the cost of English & Spanish classes. Regular company and team events like Pizza talks, Team Building activities, Christmas parties, hosting Meetups at the office and more!

We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. The base salary for this role is€65,000 – €80,000 gross per year, with a total on-target earnings (OTE) range of €71,500 – €88,000, including an annual performance bonus.

We set our pay ranges using objective criteria: the scope and level of the role, the skills it takes to do it well, and the relevant market data. What matters to us is what this role is worth and whether it works for you.

📌 Senior Data Infrastructure Platform Engineer (Madrid)
🏢 Nexthink
📍 Madrid