Technology Operations Engineer
Talon.One
- Berlin, Germany
- Mid Level
- Posted
Join as a Technology Operations Engineer, where you'll be responsible for maintaining the reliability, scalability, and operability of our production systems. This hands-on role involves solving production-level problems, automating repetitive tasks, and building tools to improve the efficiency of our engineering teams.
Responsibilities
- You'll work closely with SRE and R&D teams, optimize incident management, enhance observability, and support core production systems.
Requirements
- Ideal candidates have 2-4 years of experience in TechOps, DevOps, SRE, or Production Engineering, and are comfortable working with Linux, command-line tools, and monitoring. - Identifying manual or repetitive operational friction across R&D and building clean scripts, automation, and internal tools to solve it permanently. - Designing, building, and integrating AI agents to streamline operational workflows, ensuring proper guardrails, monitoring, and human oversight for safe execution. - Owning and optimizing workflows, automation, and integrations, and staying closely engaged with incident response and post-incident reviews. - Willingness to learn and build deeper expertise in production systems and reliability - 2–4 years of experience in TechOps, DevOps, SRE, Production Engineering, or a similar technical role - Comfortable working with Linux, command-line tools, logs, and monitoring - Proactive attitude towards improving systems, processes, and tooling - Ability to work collaboratively with engineers across different teams - Experience working with production systems in a SaaS or cloud environment - Experience with scripting or automation and a mindset of "if we do it twice, can we automate it?" - A structured approach to troubleshooting and solving operational problems - Experience with observability platforms such as Grafana, Datadog, Prometheus, or Sentry - Familiarity with core SRE concepts, such as Service Level Indicators/Objectives (SLIs/SLOs) and error budgets - Experience with Kubernetes and GCP - Experience working with APIs, integrations, CI/CD, or infrastructure automation
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