Skills and Experience you will bring:

• Experience building applications with Angular,
• Strong understanding of event-driven architectures, observable streams and RxJS
• Experience with the design, planning and implementation of complex data-driven user interfaces
• A good eye for well-structured, modular and maintainable code
• Strong interpersonal skills and ability to communicate clearly
• Product design and architecture

Additional skills and experience that will be useful:

• Knowledge of state management systems such as NgRx, or other Redux pattern library
• Experience with monorepos
• Experience with GraphQL or RESTful API design and specifications such as OpenAPI, JSON:API and JSON-RPC
• Be familiar with the creation of mock-ups and wireframe design for rapid prototyping
• Unit testing with Jest or Jasmine
• Strong UX and design skills
• Experience with adaptive video streaming technologies such as MPEG-DASH or HLS
• Realtime communications with WebRTC and WebSockets
• Hands-on experience with Python

Your responsibilities:

As part of this role, you will take the lead on the design, architecture and implementation of new core features in our multi-tenant SaaS platform: evertz.io. We offer flexible working hours, and the freedom to experiment with new technologies and tools to build better products.

Recruitment process is simple:

1. Screening with recruiter (45min)
2. Technical interview with Team Lead and Developer (about 60min)
3. 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. 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. 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!