Senior Software Engineer

2 weeks ago


Burlington, Canada Evertz Microsystems Limited Full time

Please submit your documents in English when applying for this position. Please submit your documents in English when applying for this position. As part of this role, you will be expected to: Assist in team projects and be involved in all steps of the lifecycle, including design, implementation, testing, and production. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Write product or system development code. Participate in design reviews with peers and stakeholders to decide amongst available technologies. Manage individual project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and improve software. Skills and Experience you will bring:8 years of experience with Python Experience with frontend development, preferably Angular 5 years of experience in full-stack development and cloud technologies Proficiency with design, planning & implementation of APIs (REST, protobuf) Exposure to Cloud computing (preferably AWS) A good eye for well-structured, modular and maintainable code Unit testing with Jest or Jasmine 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. Understanding of event-driven architectures, observable streams and RxJS Knowledge of state management systems such as NgRx, or other Redux pattern library 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 ( GitHub actions, 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 Recruitment p r ocess:Screening with recruiter (45min) Technical interview with Team Lead and Dev (about 60min) Interview with Hiring Manager (up to 45min) About the position / about the project: The evertz.io Engineering Team builds next-generation systems for content management and distribution in the Media and Entertainment industry. Many world's leading media companies 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. Working in parallel with these teams is 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. We work in agile, low-bureaucracy, cross-functional teams spread across the world. It’s a highly creative work environment where the team is built on trust and is relaxed, open and welcoming to all. Evertz has engineering offices in Canada, England, Scotland, India, and now it's time for Poland When you apply to a job on this site, the personal data contained in your application will be collected by Evertz Microsystems Ltd (“Controller”), which is located at 5292 John Lucas Drive, Burlington, Ontario, Canada and can be contacted by emailing Controller’s data protection officer is Nadiera Toolsieram, who can be contacted at Your personal data will be processed for the purposes of managing Controller’s and its' subsidiaries' and affiliates' recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. A complete privacy policy can be found at Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority. #J-18808-Ljbffr



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