Full Stack Software Engineer

1 week ago

Old Toronto, Ontario, Canada Cresta CTO & co Full time
About the Role:

We are seeking an experienced Full Stack Engineer to join the Conversation Intelligence team at Cresta CTO & co. The team is at the forefront of innovation, developing intelligent post-call analysis, agent performance management, and coaching tools that are transforming the industry.

Key Responsibilities:
  • Play a substantial role in the Cresta Conversation Intelligence engineering team.
  • Work with product teams, AI researchers, and engineering teams to build and continuously innovate the post-call intelligence platform.
  • Stay closely connected with customers and their requirements, analyze the technical trade-offs, and own the customer-facing deliverables.
  • Develop high-quality, well-designed, reusable, and well-tested system components, and contribute to the overall system designs.
  • Optimize the platform design and implementation for lower latency, higher throughput, better reliability, and cost reduction.
  • Demonstrate engineering best practices in deliverables and daily work. Uphold others to the same high standards.
  • Grow into technical ownership in a substantial part of the Cresta product.
  • Contribute to building the best-in-class company in addition to building the best-in-class product.
Requirements:
  • Bachelor's degree in Computer Science or related field.
  • 3+ years of experience as a Full Stack Engineer, with proficiency in both front-end and back-end development.
  • Proficient in designing and maintaining clear and robust backend APIs based on a strong understanding of various protocols including gRPC, REST, etc.
  • Experience in high-performance database schema design and query optimization.
  • Experience in containerized application deployment with Kubernetes.
  • Experience with one of the major cloud providers.

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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