Backend/Infrastructure engineer with extensive AWS skills

Backend/Infrastructure engineer with extensive AWS skills
Data & Tech is a central product and tech unit that serves all of Schibsted. We are about 250+ people in Oslo, Stockholm, and Krakow, and collaborate closely with other product and tech teams in all units in Schibsted. Areas of responsibilities include data & technology strategy, privacy/data trends/responsible data & machine learning, information security, and internal IT.

Team Platform, Data Foundations, Schibsted
The platform team is present to reduce engineering friction, by providing a set of tools and infrastructure to facilitate various software engineering activities in the department, e.g. setting up new services, batch jobs and in the future ML-pipelines, thereby accelerating our ability to scale and deliver business value.

This is a totally new team in Data Foundations, starting from July 2021. The team consists today of 3 senior engineers, and we will scale with 2 more people! Are you our next colleague, ready for new challenges in an inclusive, international and collaborative environment?

The team will drive towards a state, where it is as easy as possible for department members to contribute with their own competence in different teams in Data Foundations. This will be done by gradually establishing a homogeneous infrastructure, with a smaller number of AWS accounts and a common set of operational principles.

The role

- Proactively discover, understand, prioritize and eliminate engineering friction within Data Foundations.
- Actively identify and reduce duplication of infrastructure components.
- Keep track of our application security and perform necessary upgrades.
- Monitor and optimize the cost structure of Data Foundations.
- Secure adherence to best practices in collaboration with Tech Leads, Engineering Managers and the Data Foundations Architect.


Known immediate capabilities

- Ad-hoc infrastructure automation that ties together EKS and Cloudformation setup, written in Python.
- Diverse runtime environment (VM, serverless, container).
- CI/CD pipelines in Travis and Spinnaker, coming as an offer from a central team.
- How we perform operational metrics and monitoring (several DataDog accounts for metrics/alerting, Humio for logging, Pagerduty for high severity alerts).
- Facilitating on-call within Data Foundations - owning the process, coordinating post mortems after incidents and driving work on process improvements after incidents.


Your Experience

- Hands-on experience with cloud-native technologies, including: IAM, Cloudformation, VPC, Route53, Secretsmanager, Kinesis, SQS, S3.
- Experience working with different runtime environments: k8s, EC2, Lambda.
- Knowledge about common AWS SDKs to use when developing services and applications on AWS.
- Interest in having a broad impact in our organisation by understanding and reducing cross-team dependencies, also keeping relationships in mind while engineering solutions.
- Strong communication skills both written and oral, and a great team spirit.
- Familiarity with devops practices, system administration, networking or distributed systems are all advantageous.
- Plus: great experience on working with remote cross-functional teams with different nationalities.

About Data Foundations
Schibsted Data Foundations are solving exciting problems at scale, spanning from gathering up to 950 million events per day while keeping users' privacy and data security in mind to building high quality predictive machine learning models. Our services are powering many use-cases in Schibsted such as producing insights about our customers, segments for the online advertising on our sites, and personalization of news. Our mission is “Enabling advanced collection, management and activation of our core data assets across Schibsted”.

As part of the Data Foundations team, you will be part of a great team developing a modern data processing pipeline at scale for Schibsted sites, for a variety of purposes. As part of the Schibsted organization, you will also have the opportunity to learn from and share knowledge with other data scientists, data analysts and engineers across Schibsted.

We encourage a diverse, collaborative and creative work environment, where you will develop and push for the state-of-the-art in big data processing at the same time as building reliable and highly scalable services.

Schibsted is a family of digital brands with a strong Nordic position, and more than 5,000 employees. Millions of people interact with our companies every day through our leading online marketplaces, world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best, we are a fearless force for change in a society built on trust and transparency.

Data & Tech is a central product and tech unit that serves all of Schibsted. We are about 250+ people in Oslo, Stockholm and Krakow, and collaborate closely with other product and tech teams in all units in Schibsted. Areas of responsibilities include data & technology strategy, privacy/data trends/responsible data & machine learning, information security and internal IT.