Cloud Backend Engineer (GB)

Signaloid provides a computing platform that tracks data uncertainties dynamically and throughout computations in execution workloads. Our computing platform uses deterministic computations on in-processor representations of probability distributions, to enable orders of magnitude speedup and lower implementation cost for computing tasks traditionally solved using Monte Carlo methods. The platform is available as a cloud-based computing engine that lets you run tasks via a cloud-based task execution API. We also provide on-premises and edge-hardware implementations of our computing platform for customers who want to use their existing on-site infrastructure and for use cases requiring operation without connection to the cloud.

Our platform is the most cost-effective way to engineer uncertainty quantification applications and is also the fastest way to run uncertainty quantification tasks, for key use cases. Workloads ranging from options pricing and portfolio modeling in finance, to uncertainty quantification for materials modeling and photonics simulation in engineering, often run an order of magnitude or more faster, compared to Monte-Carlo-based implementations running on high-end AWS EC2 instances.

Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARM, Bell Labs, CMU, University of Cambridge, IBM Research, MIT, NEC Labs, and University of Oxford. Find out more and try out the Signaloid uncertainty-tracking computing platform by signing up for free for our developer platform, at https://get.signaloid.io.

Role Description

Within the first year in this role, you will:

• Lead the implementation of extensions to the Signaloid Cloud Compute Engine backend.
• Be responsible for extending the testing and QA infrastructure of the Signaloid Cloud Compute Engine backend.
• Be responsible for taking the initiative to identify whether the quality level of your implementation meets both explicit and implicit design and quality objectives of the team.
• Be responsible for delivering new functionality and tests on a regular release schedule and to work with other parts of the engineering and commercial teams.
• Design, implement, and document improvements to the Signaloid Cloud Compute Engine API.
• Contribute to improving operational procedures in the engineering team.

After a year in this role, you can expect to:

• Contribute to and lead the definition of the direction of the evolution of key parts of the Signaloid Cloud platform, either as an individual contributor or as a team lead.
• Gain increased autonomy and responsibility for strategy within the engineering team.
• Have the opportunity, based on your demonstrated performance, to take on new challenges within Signaloid

• Undergraduate or masters degree in computer engineering, computer science, or a related discipline.
• More than two years experience working as a backend engineer or a cloud engineer.
• Experience implementing web services with Node.js and Go.
• Experience with AWS, GCP, NoSQL databases, and serverless applications.
• Experience implementing APIs (REST API or GraphQL).
• Experience deploying cloud applications.
• Experience setting up CI/CD pipelines.
• Experience with Git.
• Proficiency with using Linux.
• Familiarity with writing API schemas.
• Ability to work in an english-speaking environment.
• A willingness to listen to people until they feel understood.
• Honesty, empathy, and a willingness to see the world from the viewpoint of others.

Additional Desirable Skills and Experience:

• Ability and willingness to implement frontend components and familiarity with UI/UX.
• Experience developing full-stack applications.
• Experience building highly-available fault-tolerant cloud applications.
• Experience in Test-Driven Development.
• Experience with Amazon DynamoDB and AWS Lambda (AWS Certification is a plus).
• Familiarity with Azure.
• Familiarity setting up and managing Apache/Nginx web servers.

Our Recruiting Procedure

• All positions require you to write a brief cover letter that should be no more than one page long. The more concise the better. You can also substitute the cover letter for a snippet of code that will run on the signaloid.io platform; be creative! We use the cover letter / code snippet to screen for communication skills, as clear communication is essential in a remote working environment.
• Applicants who pass the cover letter screening receive an initial 15-minute Zoom screening call with the CEO/CTO.
• Applicants who pass the screening interview will be given a coding project that can be solved using the Free Tier of Signaloid's Signaloid Cloud Developer Platform. We will also provide you with additional free credits on the Signaloid Cloud Developer Platform. The coding exercise will be simple enough to complete in a few hours. You will however have a time window of one week or two weeks (your choice) to complete the coding exercise. You are encouraged to make your implementation open source on GitHub.
• Applicants who successfully complete the coding exercise are invited for a set of interviews with people from our core teams (there will be up to six interviewers). The interviewers will use the project you completed as a discussion point.
• In the final stage, applicants are invited for an on-site (or "virtual on-site") day with members of the team you are interviewing to join. During this day, we will work with you on a hands-on simulation of a real working day solving a task relevant to the position you are applying for, working with your potential future colleagues.