Senior Cloud Engineer, Data Platform at Supercell
Helsinki, Etelä-Suomi, Finland -
Full Time


Start Date

Immediate

Expiry Date

25 May, 25

Salary

0.0

Posted On

19 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

User Management, Docker, Python, Data Infrastructure, Spark, Security

Industry

Information Technology/IT

Description

Are you excited about building a world-class data platform and working with cloud infrastructure that handles petabytes of data? Then let’s talk!
Data that we collect plays a central role in how we make decisions and improve our games to serve players the best way possible. Our data platform is designed to make sure the data is correct, up to date, and easily accessible in a secure way. In this position you will be responsible for ensuring the cloud infrastructure that powers our data platform is rock solid and follows modern best practices. You will be actively contributing to taking our data platform to the next level and solving unique challenges arising from the massive scale.
In this role we value a versatile skill set ranging from strong devops experience to uncompromising attitude towards high data quality. We are aiming to strengthen our team with experts passionate about large scale deployments, high-load high-availability systems and real-time data collection. We also expect you to proactively advance our cloud tech stack and drive improvement discussions in collaboration with the rest of the team as well as data and cloud engineers across the company.

REQUIREMENTS

  • 5+ years of experience in designing, developing and maintaining cloud data infrastructure
  • Strong DevOps oriented mindset
  • Track record of maintaining large scale applications or ETL pipelines
  • Experience with AWS infrastructure, especially user management, networking and security
  • Extensive Infrastructure as Code experience (e.g. Terraform or CloudFormation)
  • Knowledge of Docker, deployment pipelines and monitoring systems
  • Familiarity with data processing technologies such as Kinesis, Spark, Spark Streaming is a plus
  • Software development experience (preferably Java or Python) is a plus
  • Ability to innovate and work independently
Responsibilities
  • Own and improve the infrastructure for data collection, storage and processing
  • Proactively suggest and implement improvements that increase scalability, robustness and availability of data systems
  • Own cloud data infrastructure, deployment pipelines and monitoring systems
  • Participate in 24/7 on-call to maintain batch and real-time data infrastructure
  • Contribute to common data tooling to enhance engineering productivity
  • Drive company-wide initiatives that advance the data architecture
  • Together with the rest of the team, develop vision and strategy for the data platform
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