Maintenance Engineer / L2 Support Specialist

We are growing the maintenance engineering team: the people who take on the hardest client cases and keep the platform healthy. This is not a call centre and not a first line: what reaches this role are the cases that require reading code, writing SQL and proving the root cause with facts. The role has no direct client communication: all communication is internal, with English-speaking colleagues.

In this role you will:

• Investigate escalated client tickets, from the symptom in the UI down to the root cause in the code, the database or data.

• Write SQL against production PostgreSQL replicas to reconcile platform data, API and MMP trackers.

• Read the product’s Python / Django code and run targeted operations via management commands and the Django shell.

• Diagnose data pipelines (Airflow) and services running in Kubernetes; work with logs and metrics in Grafana / VictoriaLogs.

• Grow the platform’s monitoring: build dashboards and alerts for whatever breaks most often, so that problems are found before clients report them.

• Deliver conclusions to the product and engineering teams: a proven root cause, a reproducible bug report, a clear investigation summary.

• Turn one-off investigations into runbooks and automations: we are actively building an internal AI toolkit (skills for Claude Code) and expect you to develop it further.

About you:

• 2+ years of experience in L2 technical support or a similar technical troubleshooting role (QA, SRE / DevOps, backend).

• Confident SQL: joins, aggregations, window functions, comfortable working with large production datasets, without putting production at risk.

• Experience in troubleshooting applications, APIs and databases using various tools and approaches.

• Experience in analyzing application and server logs: ability to parse and read log files.

• Linux and Bash scripting basics, confident work in the command line.

• Experience with monitoring systems (Grafana, Prometheus / VictoriaMetrics, Datadog, etc.): not only reading ready-made dashboards, but building monitoring for the task at hand: metrics, dashboards, alerting.

• Experience with REST APIs: reading the documentation, sending requests, interpreting responses and errors.

• Experience with utilizing AI-based tools for work-related tasks: log and data analysis, drafting documentation, automating routine work.

• Confident use of Google Sheets / Microsoft Excel.

• A systematic approach to investigations: hypothesis → check → proof, rather than “restarted it and it works now”.

• Focus on the outcome for the client: the ability to prioritise and run several investigations in parallel.

• Good written English (B2 and above): internal communication with English-speaking colleagues, tickets and documentation are in English.

• Care when working with production data: understanding the difference between read-only and “let me just fix it in the database”.

It would be nice if you have:

• Python at the level of “I read other people’s code and write scripts for myself”; familiarity with Django is a strong plus.

• Experience with Apple Ads, mobile performance marketing or MMPs (AppsFlyer, Adjust, Singular).

• Kubernetes (kubectl) and Airflow at a user level.