Senior Systems Engineer

We’re looking for a Senior Systems Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.

Who We Are

At 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 Challenge

As a Senior Systems Engineer, you will:

• Collaborate 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 Values

Outcome over Output
We measure success by impact and value, not by volume of features or lines of code.

Failure Is Allowed, Learning Is a Must
Experimentation is key to innovation. We test early, iterate often, and learn fast.

We Are All Scouts
We take ownership and leave things better than we found them.

We Are Data-Driven
Data informs our decisions and helps us continuously improve our systems and results.

Tech Stack

Our stack includes:

• Languages & Automation: Python, Go

• Cloud & Infrastructure: GCP, Kubernetes (GKE), Terraform, Terraform Cloud

• CI/CD & GitOps: GitHub Actions, ArgoCD

• Observability: VictoriaMetrics, Grafana, PagerDuty

• Streaming & Data: Redpanda, Kafka, MongoDB, Redis

• Security & Networking: IAM, VPC, Cloudflare, secrets management

• AI & Automation: LLM-based agents, MCP integrations
  

What You’ll Need to Succeed

• Technical 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 blameless postmortems.

• Kubernetes: Solid production experience with Kubernetes, ideally GKE: cluster lifecycle and upgrades, autoscaling and node pool tuning, and workload identity.

• Infrastructure as Code and GitOps: Strong Terraform experience (Terraform Cloud a plus), GitOps (ArgoCD) and CI/CD pipelines (GitHub Actions, self-hosted runners).

• Observability: Experience with Prometheus-compatible stacks (VictoriaMetrics, Grafana), alerting design and SLI/SLO practices. Understanding of cardinality and scaling issues is a plus.

• Security: Working knowledge of cloud security practices: secrets management, vulnerability and CVE remediation, hardening and least privilege.

• Other tools and engines: Streaming platforms (Kafka/Redpanda), or other stateful systems (MongoDB, Redis, Elasticsearch, Aerospike); Cloudflare (CDN, load balancing); compliance frameworks (NIST CSF, SOC 2, ISO 27001); FinOps and capacity planning; hands-on experience building or operating LLM-based agents or automations (e.g. ADK, MCP) and using AI tools in daily engineering work; service maturity / internal developer platform approach.

• People-Centric Approach: Focus on understanding stakeholders problems and providing the best way to solve team.

• Agile Methodologies: Experience working with agile development methodologies like Kanban or Scrum, promoting transparency and collaboration within the team.

• Planning and Execution: Strong skills in roadmap planning, execution, and measuring engineering excellence through key metrics and KPIs.

• Priority Management: Proven ability to thrive in a fast-paced environment, managing multiple priorities and concurrent projects effectively.

• Cloud Services: Experience with Google Cloud Platform (GCP) or other cloud services, including technologies like Terraform and Ansible, for designing and managing scalable infrastructures.

• Incident Management and On-call Responsibilities: Previous experience in incident management and on-call responsibilities is needed. The candidate must demonstrate strong problem-solving skills under pressure and quick responsiveness to critical situations.

Why Join Seedtag?

• A key moment of growth with real ownership and global impact.

• Flexible work model with 100% remote or hybrid options.
  (Remote contracts available in Spain, Italy, UK, Belgium, Netherlands, France, and Germany.)

• Continuous learning through a learning platform and optional language classes.

• A supportive, trust-based culture that values well-being.

• Team activities, offsites, and opportunities to connect beyond work.
  

Additional Perks

• Home office setup budget up to €1,000

• Paid trips to our HQ in Madrid

• MacBook Pro M3
  

Ready to Join the Seedtag Adventure?

At Seedtag, we create an environment where everyone can thrive. If you need accommodations during the hiring process, let us know and we’ll ensure a positive experience.

Send us your CV and let’s build the future of neuro-contextual advertising together.