Maintenance Engineer / L2 Support Specialist

October 14, 2026

Remote

Middle

Минск

hh.ru

Worth knowing

English is required
B2 level

Description

The company is growing its maintenance engineering team that handles the hardest client cases and keeps the platform healthy. This is not a call centre or first line: the role covers 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.

Responsibilities

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
Deliver conclusions to the product and engineering teams: proven root cause, reproducible bug report, clear investigation summary
Turn one-off investigations into runbooks and automations, developing the internal AI toolkit (skills for Claude Code)

Requirements

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
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: building metrics, dashboards and alerting, not only reading ready-made dashboards
Experience with REST APIs: reading documentation, sending requests, interpreting responses and errors
Experience utilizing AI-based tools for log and data analysis, documentation and routine automation
Confident use of Google Sheets / Microsoft Excel
Systematic approach to investigations: hypothesis, check and proof rather than quick restarts
Focus on the outcome for the client: prioritise and run several investigations in parallel
Good written English (B2 and above) for tickets, documentation and internal communication
Care when working with production data: understanding read-only access versus direct database fixes
Python at the level of reading other people's code and writing scripts, Django familiarity a strong plus
Experience with Apple Ads, mobile performance marketing or MMPs (AppsFlyer, Adjust, Singular)
Kubernetes (kubectl) and Airflow at a user level

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