#1 Job Board for tech industry in Europe

Team Leader of Support Team / Project Manager
Other

Team Leader of Support Team / Project Manager

Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Remote

Tech stack

    Google Cloud

    regular

    Project Management

    regular

    SLURM

    regular

Job description

Online interview

Project Information:

  • Area: technology/pharma
  • Type of Work: 100% Remote, or hybrid in Rzeszów, Gdańsk, Wrocław.
  • Project Duration: long term; first contract till December 2025.
  • Availability to meetings with team: minimum 3 days a week from 15 - 19 CET.
  • B2B up to 140zł/h


Summary:

The Project Manager will lead a support operations team for client software platforms built on Google Cloud Platform (GCP), focusing on delivering exceptional level 1 and level 2 support services.


Main Responsibilities:

  • Lead a technical support operations team.
  • Deliver metrics-guided L1/L2 support services.
  • Drive continuous improvement in service delivery.
  • Manage support teams and processes.
  • Coordinate technical teams across different time zones.
  • Analyze support metrics for service enhancements.


Key Requirements:

  • 3+ years of experience in technical support or project management (GCP preferred).
  • Understanding of Google Cloud services (e.g., BigQuery, Dataflow).
  • Familiarity with HPC concepts (e.g., Slurm, parallel computing).
  • Knowledge of HPC workload management and optimization.
  • English and Polish language Level: B2, C1, C2.
  • Proven experience in managing support teams.
  • Strong analytical and communication skills.
  • Experience with ticketing systems.
  • Self-motivated problem-solving abilities.


Nice to Have:

  • Project Management certification (PMP, PRINCE2).
  • Cloud certification (Google Cloud, AWS, Azure).
  • Experience with HPC in cloud environments.
  • Understanding of containerized workloads.
  • Knowledge of scientific computing libraries.
  • Experience with ITIL service management frameworks.
  • Background in data science or machine learning.
  • Experience with continuous improvement methodologies.