Streaming Lead

Description

**Your main tasks can be summarized as**:

- Integration with external streaming platforms.
- Management of content security and compliance with copyright regulations.
- Implementation of digital rights management (DRM) systems and strong security measures to protect content.
- Research available ML video classification platforms in the market or design a custom solution.
- Design of interfaces (APIs) for real-time classification of digital terrestrial television (DTT) content.
- Design of interfaces (APIs) for real-time classification of internet broadcast content.

Minimum requirements
- Bachelor's degree in Software Engineering, Computer Science, or a related field.
- Deep knowledge of video streaming protocols, such as HLS, DASH, RTMP, etc.
- Experience in configuring and managing media servers, such as Wowza, Adobe Media Server, etc.
- Familiarity with video compression and popular codecs, like H.264, H.265, VP9, etc.
- Systems architecture, including database management, storage, and cloud servers.
- Application of machine learning algorithms for video content classification.
- Use of ML tools and libraries like TensorFlow, PyTorch, or scikit-learn.
- High level of spoken and written English.

**You must also have experience in**:

- Implementation and management of video streaming systems, preferably in the VOD and DTT fields.
- Projects related to streaming services and video content on popular platforms like HBO Max, Disney+, Netflix, or Amazon Prime.
- Having technically led video streaming and Machine Learning (ML) projects.
- Integration of API and SDK from streaming platforms.

**Furthermore, we are looking for someone to join the project who**:

- Has excellent communication skills to work with internal development teams, external developers, and stakeholders.
- Has the ability to provide technical guidance and advice effectively.
- Has curiosity and a keen interest in researching, analyzing, and presenting information clearly and concisely.
- Has flexibility and the ability to adapt to the changing needs of the project.
- Ability to document and present technical proposals and solutions in a clear and concise manner.
- Adaptability to emerging technological trends.

**Interpersonal competencies**:

- Problem-solving and analytical thinking capacity.
- Results-oriented and the ability to meet tight deadlines.
- A mindset focused on security and quality. #excellence

**We value as a plus**:

- Presentation of previous projects related to video streaming and content classification through Machine Learning.
- Related certifications, such as AWS Certified Solutions Architect or certifications in Machine Learning.

**About us**:
Emerging from the beautiful region of Galicia, our journey began in the corridors of the School of Telecommunications at the University of Vigo. Established in 2002, we were initially dedicated exclusively to serving telecommunications operators worldwide, with a keen specialization in OSS and BSS. Today, our footprint spans across Europe and Latin America.

So far, we've successfully completed over 2,500 projects, collaborating with more than 40 operators from 20 different countries. Proud members of the TM Forum since 2005, we've been at the forefront of R&D projects alongside major European operators and manufacturers. Moreover, we've played a significant role in shaping the development channels of 5G.

Our company culture has always been paramount. We believe that the heart of our business lies in our people. That's why we emphasize what truly matters - fostering a nurturing and inclusive environment. At Optare Solutions, every team member benefits from our holistic value proposition. This includes flexible working hours, a telecommuting policy, adaptable compensation, a four-month summer work schedule, and access to a Udemy Business Pro license.

This ensures continuous learning remains an integral part of our culture.