About this role
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, DynamoDB, EventBridge, etc). Experience with observability frameworks (e.g., OpenTelemetry, Prometheus, Grafana, Honeycomb) and understanding of the importance of observability in distributed systems Experience working with NoSQL databases (DynamoDB, MongoDB)  Familiar with CI/CD pipelines (Jenkins, AWS CodePipeline) 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 (CloudFormation, 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:  $80,000 to $125,000, based on relevant experience 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. • “Work is a thing you do, not a place you go” We work in agile, low-bureaucracy, high-creativity, cross-functional teams spread across the world. It’s a highly creative work environment where we support your growth with opportunities for career progression, mentoring others and third-party education. The team is built on trust and is relaxed, open and welcoming to all, and there’s fun to be had with regular social events and sports teams. As part of this role, you will be expected to: Participating in design discussions with Head of Stream Automation, Product Owners and Solution Architects for adding new or improving existing features  Taking a feature from scoping requirement to actual launch in our cloud platform  Design & document requirements/features/API  Close collaboration with UI