5 часов назад
TechOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
TechOps Engineer (AI): Improving the reliability, scalability, and operability of Talon.One’s production systems with an accent on automation, AI-driven operations, observability, and incident workflows. Focus on building guarded AI agents, automating runbooks and operational tooling, investigating production data, and supporting deployment and database maintenance tasks.
Location: Berlin, Germany
Company
builds a scalable promotions engine with a product engineering organization based in Berlin.
What you will do
- Identify operational toil across R&D and build scripts, automation, and internal tools to eliminate repetitive work.
- Design and integrate AI agents for operational workflows with guardrails, monitoring, and human oversight.
- Own and optimize Incident.io workflows, integrations, and automation, and contribute to post-incident reviews.
- Maintain monitoring, alerting, dashboards, and other observability tooling while investigating logs, metrics, and production data.
- Turn operational procedures into clear, automated runbooks in partnership with SRE and R&D teams.
- Support database maintenance, health checks, and release and deployment workflows affecting production reliability.
Requirements
- 2–4 years of experience in TechOps, DevOps, SRE, Production Engineering, or a similar technical role.
- Experience operating production systems in a SaaS or cloud environment.
- Comfort with Linux, command-line tools, logs, monitoring, scripting, and automation.
- Structured troubleshooting skills and a proactive approach to improving systems, processes, and tooling.
- Ability to collaborate with engineers across different teams and develop deeper expertise in production reliability.
- Experience with the listed production stack, including GCP, Kubernetes, Terraform, Helm, Grafana, Datadog, Sentry, PostgreSQL, Go, Python, Bash, and CI/CD tooling.
Nice to have
- Familiarity with SRE concepts such as SLIs, SLOs, and error budgets.
- Experience with observability platforms such as Grafana, Datadog, Prometheus, or Sentry.
- Experience with Kubernetes, GCP, APIs, integrations, CI/CD, or infrastructure automation.
Culture & Benefits
- International, diverse, collaborative, and flexible work environment.
- €1,000 annual learning budget and free German language courses.
- 30 days of annual leave plus paid birthday and moving days.
- Home office setup budget and monthly home office allowance.
- Ability to work from abroad worldwide for up to 90 days.
- Mental health support, Urban Sports Club membership, pension contribution subsidy, public transport subsidy, and BusinessBike access.
- Dog-friendly Berlin office and family-friendly working arrangements.
Hiring process
- Apply directly through the application form.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
2 дня назад
DevOps Engineer (with German language)
3 800 - 7 500€
5 дней назад
Staff Product Engineer (AI)
5 дней назад
Senior DevOps Engineer (Quantum Computing)
5 дней назад
Cloud Platform Automation Engineer (AWS)
5 дней назад
Senior Software Engineer (AI Platform)
4 дня назад