Senior Platform Engineer (Cloud Workloads)

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SeniorFull-time
#359088·Dodano dziś·0
Źródło: Veeam Software
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Tech Stack / Keywords

CloudAISecurityGoElasticsearchKibanaAzureAWS

Firma i stanowisko

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide.


Wymagania

  • 5+ years of experience in cloud platform engineering, SRE, or infrastructure roles supporting commercial SaaS products
  • Deep hands-on experience with Elastic Stack: Building dashboards, writing KQL/Query DSL, managing Fleet
  • Proven experience operating and troubleshooting distributed, multi-tenant workloads on Azure and/or AWS
  • Strong understanding of Azure cloud services: AKS, Entra ID, Key Vault, Service Bus, Cosmos DB, Private Endpoints, etc.
  • Experience with incident response in production cloud environments, including runbook development and post-incident review
  • Experience with IaC tools (Azure Bicep, Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions)
  • Strong scripting skills in Bash, Python, or PowerShell
  • Ability to work cross-functionally with SRE, product, and customer-facing support teams

Bonus Skills:

  • Familiarity with Veeam Data Platform products

Obowiązki

  • Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads
  • Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services
  • Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement
  • Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden
  • Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets
  • Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations

Oferta

  • 26 paid days off annually, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  • Paid parental, maternity, and paternity leave
  • Fully covered family medical plan, dental, rehab, and vaccinations
  • Life, critical illness, and disability insurance
  • Employer pension contribution via PPK
  • Monthly Edenred allowance of 450 PLN for meals
  • MultiSport card fully covered by Veeam, giving access to sports facilities nationwide
  • Up to 12 free therapy sessions annually, plus legal and financial advice
  • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Płatny urlop
Opieka zdrowotna
Ubezpieczenie
Karta sportowa
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Inne informacje

If the applicant is permanently present outside of Poland, Veeam reserves the right to refuse to consider the application for a job.

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

By applying for this position, you consent to the processing of your personal data in accordance with Veeam's Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.

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