We’re looking for a Senior Systems Engineer to join our tech team and help build the future of neuro-contextual advertising at integral scale.
Who We AreAt Seedtag, our mission is to transform advertising by proving that effectiveness and user privacy can truly coexist.
As the leading Neuro-Contextual Advertising Company, we combine Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand not only what content is about, but how it makes people feel and what they intend to do next.
Our proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking. Founded in 2014 by two ex-Googlers, Seedtag has grown to 500+ Seedtaggers in 17 countries, backed by €250M in funding, and operates today as a global ad‑tech leader.
If you enjoy solving complex engineering challenges and building AI‑driven systems at scale, you’ll feel right at home here.
Your ChallengeAs a Senior Systems Engineer, You WillCollaborate with engineering teams at Seedtag to set direction and build platforms that enhance customer experience, while providing necessary operational support.
Contribute to the professional growth and performance optimization of the Platform Engineering (SRE) team by offering helpful feedback and guidance.
Foster and cultivate trust within the SRE team, empowering them to implement solid engineering practices and principles.
Ensure reliability, security and compliance of Seedtag’s cloud foundations, aligned with the Google Cloud Architecture Framework and NIST/ISO controls (logging, vulnerability and secrets management, hardening, backup and restore).
Design, build and operate the internal developer platform (GKE, networking, IAM, CI/CD, GitOps) so product teams can ship autonomously under a 'you build it, you run it' model.




Share knowledge, review peers’ work and raise the bar on engineering practices in the team.
Take part in the Platform on‑call rotation, lead incident response and write blameless postmortems, turning recurring issues into automation and lasting fixes.
Partner with engineering teams to understand their needs and communicate roadmap, trade‑offs and progress transparently.
Operate and evolve our streaming and data infrastructure (Redpanda and self‑hosted databases), including migrations, upgrades and the discontinuation of legacy components.
Own the observability stack (VictoriaMetrics, Grafana, alerting, PagerDuty), tackling scalability problems such as high‑cardinality metrics, and define SLIs/SLOs and a service maturity model with engineering teams.
Drive cost efficiency (FinOps): capacity planning, node and instance right‑sizing, quota management and cost anomaly detection.
Reduce toil and enable self‑service: replace tickets with tools, golden paths and reusable CI/CD workflows, and keep documentation and runbooks fresh.
Apply AI to platform operations: build and operate agents and automations (e.g. cost anomaly detection, PR review, incident triage), define MCP integrations, and contribute to AI governance with Security.
Our Core ValuesOutcome over OutputWe measure success by impact and value, not by volume of features or lines of code.
Failure Is Allowed, Learning Is a MustExperimentation is key to innovation. We test early,



iterate often, and learn fast.
We Are All ScoutsWe take ownership and leave things better than we found them.
We Are Data‑DrivenData informs our decisions and helps us continuously improve our systems and results.
Tech StackOur Stack IncludesLanguages & Automation: Python, GoCloud & Infrastructure: GCP, Kubernetes (GKE), Terraform, Terraform CloudCI/CD & GitOps: GitHub Actions, ArgoCDObservability: VictoriaMetrics, Grafana, PagerDutyStreaming & Data: Redpanda, Kafka, MongoDB, RedisSecurity & Networking: IAM, VPC, Cloudflare, secrets managementAI & Automation: LLM‑based agents, MCP integrationsWhat You’ll Need To SucceedTechnical

Experience:
Minimum of 4 years of experience in SRE/DevOps/Platform/Cloud Engineering roles, preferably in large‑scale, high‑traffic product companies, with proven technical proficiency and the ability to engage in deep technical conversations with the team.
Collaboration and Prioritization: Service‑oriented mindset: understands stakeholders' problems, communicates clearly and prioritizes across several concurrent projects in a fast‑paced environment. Experience with Kanban or Scrum.
Automation and Programming: Strong scripting/programming skills (Python, Go or similar) to automate operations and build internal tooling (operators, agents, CI/CD workflows).
Cloud Services: Deep hands‑on knowledge of Google Cloud Platform (GCP) or an equivalent hyperscaler (VPC and peering/PSC, IAM, GKE, CloudSQL, GCS), including networking and migrations between projects or organizations.
Incident Management and On‑call

Responsibilities:
Proven on‑call and incident management experience, with strong problem‑solving skills under pressure and a track record of root‑cause analysis and blam

📌 Senior Systems Engineer (Barcelona)
🏢 Seedtag
📍 Barcelona