TechOps Engineer: AI-Driven Automation & Reliability

Talon.One

Berlin (NH)

On-site

EUR 85,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Learning budget
Annual leave 30 days
Home office allowance
Work from abroad 90 days
Pension contributions subsidy
Dog-friendly office

Job summary

Talon.One in Berlin is seeking a hands-on SRE / Production Engineer to keep our production systems reliable, scalable, and easy to operate. You will automate repetitive work, build pragmatic tooling, and partner with R&D to strengthen monitoring, releases, and incident response.

You will own incident workflows with Incident.io, improve observability, runbooks, and collaborate across teams to reduce toil. The role offers an opportunity to work with Grafana, Datadog, Kubernetes, and GCP in a

Qualifications

  • 2–4 years in TechOps, DevOps, SRE or similar.
  • Experience with SaaS or cloud production systems.
  • Comfort with Linux, CLI, logs and monitoring.
  • Automation mindset: automate repetitive work.
  • Structured troubleshooting approach.
  • Proactive in improving systems and tooling.
  • Collaboration across engineering teams.

Responsibilities

  • Eliminate manual toil with automation and internal tools.
  • Design and integrate AI-driven operations.
  • Own and optimize Incident.io workflows.
  • Maintain observability stack: dashboards and alerts.
  • Improve runbooks and production workflows.
  • Support core production systems, health checks.

Skills

TechOps
DevOps
SRE
Automation
Observability
Team collaboration

Tools

Grafana
Datadog
Prometheus
Sentry
Incident.io
Kubernetes
GCP
Terraform
Helm

Job description

Talon.One in Berlin is seeking a hands-on SRE / Production Engineer to keep our production systems reliable, scalable, and easy to operate. You will automate repetitive work, build pragmatic tooling, and partner with R&D to strengthen monitoring, releases, and incident response.

You will own incident workflows with Incident.io, improve observability, runbooks, and collaborate across teams to reduce toil. The role offers an opportunity to work with Grafana, Datadog, Kubernetes, and GCP in a

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