Software Engineer, C++ at Cogito


Software Engineer, C++ – Remote


Cogito is advancing the way people communicate by applying machine learning to enhance conversations in real time. This is your chance to be a part of an industry leading team that is making a real difference using the latest cloud technologies for building highly-scalable products. Cogito performs in-call voice analysis and delivers real-time guidance to call centre agents and unprecedented insights to managers to an impressive portfolio of Fortune 500 clients.

We are searching for a Software Engineer to join our Compute Team to collaborate on design and implementation of the next generation of our real-time computational system to scale to increasingly large numbers of concurrent users. The ideal candidate is a software developer with experience in developing low-latency, streaming-based applications and has decent exposure and interest in working with cloud-native, microservices architectures. Additionally, the candidate is passionate about developing scalable and resilient real-time systems for AI-based products.

What you will get to do:

  • Collaborate with the Compute Team, and other teams in the Engineering department, to design and build systems for real-time and batch processing of large volumes of audio and other signal data
  • Be a versatile Software Engineer for the Compute Team and work on everything from the core compute processing code based, to performance and integration testing and improving our build pipelines
  • Help to build the Compute Team by attracting other engineers and enhancing our recruitment and interview process
  • Be responsible for the Compute development pipeline from build, test and publish to deployment and monitoring in production
  • Collaborate with the Machine Learning team to help design and implement a new system to enable large-scale dataset creation for machine learning

The scale you will get to work with:

  • Our compute system currently processes over 120,000 hours of audio from 10,000 users per day and this is growing rapidly
  • We have 850,000 hours of stored audio which we enable the machine learning team to create large datasets from. 5,000+ hours of this stored audio has been manually labeled which enables cutting-edge supervised machine learning research and development
  • Our processing system targets high SLAs (99.9 %) for our large enterprise clients

Your background:

  • Proficient C++ programming skills for processing streaming data
  • Proficient programming / scripting languages to automate repeatable processes and develop/enhance microservice-based systems (e.g., Go, Python)
  • Extensive experience delivering scalable and secure cloud-based services to large scale production
  • Experience with, and interest in, Docker, Kubernetes, Helm, Prometheus or other Cloud Native Computing Foundation (CNCF) software is a big plus
  • Experience with Continuous Integration / Delivery tooling, such as Jenkins, Travis CI, CircleCI etc
  • Experience using AWS (or other cloud) systems, infrastructure and automation tools, such as CloudFormation and Terraform
  • Excellent verbal and written communications skills
  • Detail oriented and able to meet commitments in a rapidly expanding environment
  • Bachelors or greater degree in Computer Science, Math, Computer Engineering or related technical discipline


  • Your choice of comprehensive benefits for you and your family’s health, dental, vision, disability, and life insurance
  • Frequent catered lunch and live product demos
  • 401(k) retirement plan options
  • Ongoing professional development and cross-training
  • 20 days vacation time, 5 days sick time, 2 floating holidays and 11 company holidays (yes, Patriot’s Day is a holiday)
  • 2 “Be Gentle” personal days
  • Company paid parental leave upon hire
  • Competitive pay, stock options, and annual bonus eligibility
  • Casual dress and fun office atmosphere
  • Pre-tax commuter benefits
  • Stocked groceries in the kitchen
  • Office location in the heart of Boston with convenience to the MBTA lines

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