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Senior Systems Engineer
Contract type
Ongoing
Work mode
Remote · Belgium, France, Germany, Italy +3
Experience
Mid-level · 4+ years
Job description
Senior Systems Engineer on Seedtag's Platform Engineering (SRE) team, building and operating cloud foundations and an internal developer platform for AI-driven advertising systems at global scale.
At a glance
- Work mode
- Remote · Belgium, France, Germany, Italy +3
What you'll do
- 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.
What we're looking for
- 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.
- Service-oriented mindset: understands stakeholders' problems, communicates clearly and prioritizes across several concurrent projects in a fast-paced environment. Experience with Kanban or Scrum.
- Strong scripting/programming skills (Python, Go or similar) to automate operations and build internal tooling (operators, agents, CI/CD workflows).
- 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.
- 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.
- Solid production experience with Kubernetes, ideally GKE: cluster lifecycle and upgrades, autoscaling and node pool tuning, and workload identity.
- Strong Terraform experience (Terraform Cloud a plus), GitOps (ArgoCD) and CI/CD pipelines (GitHub Actions, self-hosted runners).
- Experience with Prometheus-compatible stacks (VictoriaMetrics, Grafana), alerting design and SLI/SLO practices.
- Working knowledge of cloud security practices: secrets management, vulnerability and CVE remediation, hardening and least privilege.
- 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 pl
- Focus on understanding stakeholders problems and providing the best way to solve team.
- Experience working with agile development methodologies like Kanban or Scrum, promoting transparency and collaboration within the team.
- Strong skills in roadmap planning, execution, and measuring engineering excellence through key metrics and KPIs.
- Proven ability to thrive in a fast-paced environment, managing multiple priorities and concurrent projects effectively.
- Experience with Google Cloud Platform (GCP) or other cloud services, including technologies like Terraform and Ansible, for designing and managing scalable infrastructures.
- 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.
Nice to have
- Understanding of cardinality and scaling issues is a plus.
- Terraform Cloud a plus.
Your team
Platform Engineering (SRE) team
Benefits
- A key moment of growth with real ownership and global impact.
- Flexible work model with 100% remote or hybrid options.
- 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.
- Home office setup budget up to €1,000
- Paid trips to our HQ in Madrid
- MacBook Pro M3
Apply
About Seedtag
The leading Neuro-Contextual Advertising Company
Seedtag combines 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. Its proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking.
Mission
To transform advertising by proving that effectiveness and user privacy can truly coexist.
Key facts
- 500+ Seedtaggers
- 2014
- Madrid
- Neuro-Contextual Advertising / Ad-tech
- Founded in 2014 by two ex-Googlers
- 500+ Seedtaggers in 17 countries
- Backed by €250M in funding
- Operates as a global ad-tech leader
- Proprietary AI named Liz
What they value
- Outcome over Output
- Failure Is Allowed, Learning Is a Must
- We Are All Scouts
- We Are Data-Driven