About us:
Layer is building a declarative MLOps platform to empower data science teams to effortlessly implement end-to-end machine learning from feature engineering, version control, and model deployment. Layer helps teams to build, train and deploy ML into production at scale. Most importantly, Layer sits on top of your existing data and tech stack and works in your dev environment for you with zero friction.
Layer has an all remote culture as we aspire to work with the best talent, no matter where they live. We firmly believe that exceptional companies can only be built by exceptional people. We look for people who are passionate about their work, grounded, achieve more with less, are full of grit, challenge themselves and their team relentlessly to do better, and have radical candour. Our team and culture are paramount to all else.
Engineering at Layer:
We value solid software engineering principles at Layer. We use code reviews, architecture design documents, post-mortems, automated tests thoroughly and tirelessly. We are strong believers in continuous improvement, shipping fast and often, automation, collaboration, end-to-end ownership, and open source. We take pride in our craft and do our best to perform it the best way. Read more about our learnings on our blog and within our Layer MLOps Community Slack group, and feel free to try out our public Beta.
The role:
We’re looking for a Senior Infrastructure Engineer to join our small but growing Infrastructure Team. This role is broad and would be ideal for someone that likes having an impact across the whole of engineering. There are three main areas that the Infrastructure Team at Layer owns – Cloud Infrastructure, Developer Experience and SRE.
Cloud infrastructure You will maintain 100 percent cloud-based infrastructure currently residing in AWS.We are great believers in infrastructure as code and rely heavily on Terraform and Terraform Cloud. You will work closely with the Product teams to design our infrastructure in the way the Product and the Business need it. You will help facilitate the deployment of our product services on Kubernetes (EKS)
Developer Experience You will provide tools for developers to manage our growing monorepo. These include deployment tools, our CI/CD pipelines and testing tools that make our engineers productive. We currently use Gradle (and Gradle Enterprise) heavily, Helm, CircleCI and Github Actions.
SRE You will maintain our observability for our production instances relying heavily on Datadog. You will help engineers integrate their services and get the metrics they need. You will also provide standardized tools for alerting and incident management. As a company we are strong believers in ownership – product teams own their services, we own the tools that empower them to run and maintain them.
Our Technologies:
We favour and support open-source. We mainly use Java in the backend with some Scala/Python. GraphQL and TypeScript on the frontend. Spark, Kubernetes, Terraform, AWS, CircleCI are essential parts of the infrastructure. We do not expect you to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. If you’re unsure, please apply.
Our Values:
🚀 Execute Pragmatically: We approach work with speed and practicality in mind. We take individual ownership over our work, and we trust each other to deliver, but we avoid working in isolation. We strive to be excellent at what we do and will take time to deepen our knowledge of our craft; the more we learn, the better we can execute!
💓 Be Open: At Layer, openness applies to both the business and the people who work within it. We are continually open to giving and receiving feedback and learning new things from each other. We communicate openly and honestly. We are humble and kind and acknowledge that we are not always right.
🌎 Think Global: we are committed to being not just a fully remote business but a fully global one. We want people worldwide to work with Layer and thrive as employees, partners, customers, and members of our community.
What we offer:
All-remote work style, work anywhere. Currently, we prefer teammates to be within UTC to UTC+5 Equity plan Highly competitive salary
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