danzek.ai: Backend Engineering Consultant

Backend Engineering Consultant

Fully Remote | Part Time | Equity Based

Roles and Responsibilities:

The Backend Engineering Consultant will take requirements directly from the CTO, and independently design and develop robust, production grade solutions. This is an individual contributor role. The Engineer will be focused exclusively on design and development, not mentorship, cross training or management. Primary responsibilities include:

Develop Microservices using Python

Our primary language is Python, and our API framework is FastAPI. The Engineer will spend much of their time designing, developing and extending Python modules to power the core logic of our graph.

Create and Deploy Containers using Docker and GH Actions

We take a container-first approach, leveraging Docker to encapsulate our products for deployment to cloud infrastructure. We use GitHub Actions for CI/CD to target infrastructure such as ECR. The Engineer will create Dockerfiles and GH workflow files to define the necessary environment for each application and deploy it.

Create Infrastructure Across Cloud Providers using IaC

Our product is intended to be used across all major cloud providers, e.g. AWS, GCP, Azure. As such, we leverage Terraform to declaratively define services across providers. You will create Terraform scripts which are capable of creating and manipulating infrastructure with complex configurations, across providers.

Requirements:

Education and Relevant Experience

M.S. or B.S. in a S.T.E.M. or quantitative field is highly preferred, however, it is not required. Relevant experience with proven contributions is the highest indicator of potential for success in our opinion. We’ll look for 10+ years in a range of job titles or roles that overlap with the Roles and Responsibilities section. A clean GitHub demonstrating related skills is most important. However, we understand that many professionals don’t have time to create or contribute to public facing repositories, so we encourage applications from Engineers without a robust portfolio.

Deliverable, Cost and Quality Mindset

danzek.ai™ is a startup, as such, we must be extremely focused on balancing time, cost and quality. The Engineer will need to select libraries and services that are cheap, yet effective. The Engineer will also need to design solutions which are extensible and carefully selected regarding scope. Lastly, the Engineer will be expected to mitigate tech debt at all costs by focusing on best practices, modern patterns and careful implementation.

Trust and Integrity

As a startup, our IP is extremely valuable. We expect the Engineer to keep our code and designs secret, treating them with the utmost care from an InfoSec perspective. We’re offering the Engineer equity, as such, they have a tangible interest in protecting their ownership.

Flexibility

As a consultant, the Engineer may work on days and times that are most convenient for them, and performance will be based upon contributions, not hours worked. We also don’t measure performance in KPIs such as a SLOC, which are often decoupled from quality and tangible benefits.