Senior Software Engineer

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Evertz Microsystems, Ltd
United States
Remote
USD 90 000 - 130 000
Be among the first applicants.
3 days ago
Job description

As part of this role, you will be expected to:

  1. Assist in team projects and be involved in all steps of the lifecycle, including design, implementation, testing, and production.
  2. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  3. Write product or system development code.
  4. Participate in design reviews with peers and stakeholders to decide amongst available technologies.
  5. Manage individual project priorities, deadlines, and deliverables.
  6. Design, develop, test, deploy, maintain, and improve software.

Skills and Experience you will bring:

  1. 8 years of experience with Python and/or proficiency in Angular.
  2. 5 years of experience in full-stack development and cloud technologies.
  3. Proficiency with design, planning & implementation of APIs (REST, protobuf).
  4. Exposure to Cloud computing (preferably AWS).
  5. A good eye for well-structured, modular, and maintainable code.
  6. Experience with unit testing frameworks like Jest or Jasmine.
  7. Strong interpersonal skills and ability to communicate clearly.
  8. Keen on participating in peer-reviewing code for technical accuracy, ensuring that technical standards are met.

Additional skills and experience that will be useful:

  1. Familiarity with microservices architectures and patterns.
  2. Understanding of event-driven architectures, observable streams, and RxJS.
  3. Knowledge of state management systems such as NgRx or other Redux pattern libraries.
  4. Experience creating serverless applications using event-driven architecture (AWS API Gateway, Lambda, DynamoDB, EventBridge, etc.).
  5. Experience with observability frameworks (e.g., OpenTelemetry, Prometheus, Grafana, Honeycomb) and understanding of their importance in distributed systems.
  6. Experience working with NoSQL databases (DynamoDB, MongoDB).
  7. Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, AWS CodePipeline).
  8. Knowledge of major architecture styles and design patterns (message-oriented, event-based, etc.).
  9. Experience building SaaS products in a multi-tenant environment.
  10. Familiarity with integration and contract testing.
  11. Knowledge of networking.
  12. Experience with infrastructure-as-code in the cloud (CloudFormation, AWS CDK, Terraform).
  13. Interest in working with machine learning to create smart solutions for the broadcast industry.
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