Description
We are looking for a technical leader to build and lead a team of automation engineers. You will start as an individual contributor, establishing the technical foundation, then take on management responsibilities as the team grows , without stepping away from hands-on engineering work.
Your responsibilities will include:
- Designing and building automated systems that handle thousands of support operations per month , quota requests, billing, account management, DSR
- Developing LLM-powered agents that help support engineers resolve complex tickets in real time
- Creating tooling for planned cluster operations: Terraform automation, runbook execution, Soperator integration
- Building self-service flows that reduce load on the support team without degrading the customer experience
- Hiring and growing a team of automation engineers
- Defining the technical roadmap together with the Head of Customer Service
- Building integrations with Jira, billing APIs, and internal Nebius systems
- Tracking key metrics: automation rate, ticket deflection, engineer hours saved
We expect you to have:
- 7+ years of software engineering experience, including 2+ years as a tech lead or engineering manager
- Strong Python skills and hands-on experience with REST APIs and system integrations
- Experience building automation pipelines or workflow systems in production
- Practical experience with LLM APIs and building AI agents
- Experience working with ticketing systems (Jira or equivalent) at the API level
- Fluency in English, written and spoken
It will be an added bonus if you have:
- Experience with Terraform and infrastructure automation
- Knowledge of Kubernetes and cloud-native stack
- Experience with N8N, Temporal, or similar workflow automation tools
- Understanding of cloud billing, quota management, and compliance workflows
- Background in support engineering, DevOps, or customer success engineering
Examples of outcomes you could drive:
- Automate quota request processing and free up the equivalent of 2,400+ engineer hours annually
- Build an internal Q&A agent that reduces response time on complex Chat tickets from 30 minutes to under 5
- Develop cluster upgrade tooling that compresses a multi-day operation into a matter of hours , as the number of enterprise clusters keeps growing