Cloud Infrastructure Engineer

23 hours ago


Helsinki, Uusimaa, Finland Ookla Full time

Ookla is a pioneering leader in connectivity intelligence, offering unparalleled network insights through its combined expertise of Speedtest, Downdetector, RootMetrics, and Ekahau. Our complementary datasets combine crowdsourced and controlled, public and private collection methods, QoS and QoE metrics, and more to unlock correlations and actionable insights — helping organizations optimize networks, enhance digital experiences, and create better connected experiences for end-users.

Our team is a group of passionate individuals brought together by our shared passion for solving complex problems and turning clever ideas into exceptional products. We are looking for talented engineers who love building innovative solutions, are driven by challenges, and enjoy working collaboratively to deliver high-quality results.

We are seeking a highly skilled engineer to join our Platform and Site Reliability engineering team. You will be responsible for designing, building, maintaining, and operating the infrastructure platform on which all Ookla services are built. In this role, you will design, build, maintain, and support a massive-scale dynamic infrastructure that is relied upon by hundreds of millions of users around the world. You will obsess over systems performance, scalability, reliability, observability, and security. Most importantly, you will help deliver critical application functionality and contribute to making the internet experience better for our users.

Key Responsibilities
  • Maintaining a distributed, global ecosystem of thousands of cloud instances, containerized workflows, serverless applications, Linux servers, and associated infrastructure supporting billions of requests daily.
  • Maintaining transactional database infrastructure using MySQL, PostgreSQL, and managed services such as RDS/Aurora.
  • Supporting the use of NoSQL data storage engines such as DynamoDb and MongoDB.
  • Building and supporting data stream processing with Kinesis or Kafka.
  • Supporting data engineering and big data toolchains such as Spark.
  • Supporting production systems in a 24x7x365 environment, including on-call responsibilities.
  • Providing architectural and operational support to software engineers in a wide variety of focus areas.
  • Guiding operational best practices for software and data engineering teams.
  • Implementing and overseeing security programs, including vulnerability remediation, patch management, IDS/IPS, penetration testing, and interfacing with our corporate InfoSec team.
  • Supporting the development to production code deploy pipeline for a range of production applications.
  • Providing tooling and guidance for software and data engineering teams to implement monitoring and observability best practices.
  • Assisting development teams with troubleshooting.


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