About this role
About the opportunity
We are seeking a Site Reliability Engineer to join the Observability group inside our Platform Engineering domain.
Platform Engineering’s goal is to provide easy to use, self-service platforms to enable other segments to easily build, deploy and monitor their business applications. And Observability’s role in that part of the company is to provide our users with end-to-end observability that’s easy to use.
As one of the first banks completely hosted in the cloud, our security, resilience and productivity standards require a motivated and well balanced team. We are using a modern technology stack to match our principles when it comes to providing the framework for our development team, the company and our customers.
In this role, you will:
In Observability you’ll build the tools for monitoring and measuring infrastructure, microservices, and sometimes totally unique workloads. You’ll put the developer experience at the front of your mind and implementations, and you’ll contribute deeply to understanding and preventing incidents through tooling, automation, and people-centered processes. All the while you’ll be thinking like an engineer. That means using automation to speed up repetitive tasks and to contribute to the security and compliance of the tech stack that you run and support.
What you need to be successful:
You need to be well-versed in the basics building blocks of observability: metrics, logs, and traces. You should also be familiar with the tools we need to extract (think things like Prometheus, StatsD, OpenTelemetry libraries), transform (tools like Vector, Beats, FluentBit), and load (OpenSearch, Grafana, etc.) this data in ways that your fellow engineers can make sense of it. Then, you should be comfortable with helping your colleagues understand this data so they can measure and monitor their applications and recover quickly for incidents..
Next, you’ll need experience with at least one glue language like GoLang or Python. And you’ll need to operate like your brain runs on Linux. Everything we do is in the cloud, so it’s important that you like it, understand it, and know what it takes to observe it. Your entire environment, from provisioning to deployment, will be defined and managed as code using tools like Terraform and AWS CDK.
Finally, things change fast here. We like it that way! Even if you don’t meet 100% of the criteria for this job, but you should have a strong desire to learn and improve, and you have a passion for working with bleeding-edge technologies, then you’d be a great asset to our team.
Bullet points version
• Understanding of the basic building blocks of observability: metrics, logs, and traces
• Experience using the right tools to extract data (think things like Prometheus, StatsD, OpenTelemetry libraries), transform data (tools like Vector, Beats, FluentBit), and load data (OpenSearch, Grafana, Datadog, etc.) so that your fellow engineers can make sense of it
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