Senior Software Engineer, Cloud Backend

Skills and Experience you will bring: 6+ years of professional experience with Python 6+ years of experience with design, planning & implementation of APIs (REST, protobuf) At least 4 years of exposure to AWS Cloud computing A good eye for well-structured, modular and maintainable code A passion for writing unit tests for your code Strong interpersonal skills and ability to communicate clearly Keen on participating in peer-reviewing code for technical accuracy, ensuring that technical standards are met Additional skills and experience that will be useful:
Familiar with microservices architectures and patterns Experience creating Serverless applications using event-driven architecture (AWS API Gateway, Lambda, Dynamo

DB, Event Bridge, etc).

Experience with observability frameworks (e.g., Open Telemetry, Prometheus, Grafana, Honeycomb) and understanding of the importance of observability in distributed systems Experience working with No

SQL databases (Dynamo

DB, Mongo

DB) Familiar with CI/CD pipelines (Jenkins, AWS Code Pipeline) Knowledge of major architecture styles and design patterns (message oriented, event based, etc.) Experience building SaaS products in a multi-tenant environment Familiar with integration and contract testing Knowledge of networking Experience with infrastructure-as-code in the cloud (Cloud Formation, AWS CDK, Terraform).

Interest in working with machine learning to create smart solutions for the broadcast industry

Location:

Burlington, Ontario

Hours:

Monday - Friday, 40 hours.

Vacancy:
This is an existing position. Salary Range: $100K CAD - $125K CAD About the Role The evertz.io Engineering Team builds next-generation systems for content management and distribution in the Media and Entertainment industry.

Disney, NBCUniversal, Discovery, BBC, and many other content producers and publishers use our products and services to make the most of their file-based and live content for the least effort.

We work with high quality video in real-time and non-real-time scenarios across a wide range of cutting-edge tech.

Specializations within the group span from low-level video manipulation and analysis, through back-end management and orchestration services, to web delivered UIs.

There may also be opportunities for working as a member of the Scientific Computing Group who work in computer vision, data science and machine learning, taking experiments in Jupyter notebooks through to deployment in production.

This makes for a challenging and rewarding engineering experience of continual learning and plenty of opportunity to explore different parts of the stack.

Our technology stack includes a serverless microservice architecture that capitalizes on the full breadth of AWS services with code written in Python, Rust and Java.

Our UI uses the latest versions of Angular, Typescript and NgRx.

Our CI/CD pipelines leverage AWS, Jenkins, Nexus, and Bazel in addition to our in-house release-management application to build and release 100’s of software components.