Senior Software Engineer

Industry: Technology
Company size: 51-250

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Job description

A rapidly-growing company enabling wireless operators to have a full home internet experience is looking for a Senior Software Engineer. The selected candidate will be responsible for driving technical and architectural decisions by participating in the decision-making process. The US-based company's revolutionary technology increases providers' network capacity, thereby, enabling them to reach more home internet customers. This is a nice opportunity for engineers who enjoy building robust solutions that make a difference. 


Job Responsibilities:

  • Contribute to software development and engineering of the content distribution and distributed cloud system
  • Handle the areas of distributed computing, real-time IP networking, and software infrastructure
  • Contribute to the design and architecture of content distribution and distributed cloud systems
  • Contribute to the CDN architectures and protocol-driven systems, including proxies, caches, edge compute, DNS, load balancing, etc.
  • Execute the leading protocol development and construction
  • Release commercial-grade software services and applications
  • Write clean codes, clear documentation, help with the code management, and release tools

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a software engineer
  • Must have experience with Go/Golang, Kafka, and MongoDB
  • Knowledge of Amazon Web Services, DevOps services, containerization, and familiarity with highly distributed cloud workloads
  • Knowledge of Statistics, algorithms, and complex optimization systems is required
  • Agile software development and distributed team collaboration knowledge is required
  • Keen interest in machine learning and AI is preferred
  • Video transcoding and the end-to-end video delivery chain, as well as wireless systems including Soft EPCs and 5G networks, are nice to have
  • Familiarity with Big Data (Redshift, BigQuery), data pipelining, and warehousing is a plus
  • Knowledge of recommendation engines and other artificial intelligence-driven systems is a plus

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