Principal Software Engineer

Where You Come In:

We are currently seeking a Principal Software Engineer to join our growing team! At KCF, you will operate as part of a cross-functional squad with other engineers (Software, Hardware, DevOps, and Machine Learning). As a Principal Software Engineer, you will help to build and maintain KCF’s SMARTdiagnostics machine health platform, which stores and processes industrial IoT sensor data to provide analytics and insights to our users. This will help us achieve our goal of zero waste, zero downtime, and zero safety incidents for all of industry.

This role can be 100% remote-based. With our Work From Home, Work From Anywhere model, KCF employees are spread across 27 different U.S states. We advocate for owning your work - you define how you do it and where you do it.

This is starting to sound like your next challenge, right? Read on for more info!

Essential Functions:

• Develop and maintain KCF’s software products (e.g. SMARTdiagnostics)
• Actively participate as a senior member of a cross-functional engineering squad
• Attend meetings (standups, planning and refinements, progress reviews, etc.)
• Collaborate with other squad members (front end, back end, firmware, QA, etc.) and engineering leadership
• Produce high-quality, well-documented code
• Architect and design systems for data ingest, storage, processing, and analytics
• Create supporting artifacts (e.g. architecture diagrams and requirements documents)
• Assist in the creation of standards, best practices, and procedures for the Software department
• Use version control and issue tracking tools to track code changes and manage assigned tasks
• Mentor and manage other software engineers
• Review code from other engineers (e.g. Git Pull Requests) and conduct formal design reviews as needed
• Other duties as assigned by the supervisor and other KCF leadership staff 

Qualifications:

• Bachelor’s degree in a related field
• 10+ years relevant experience and 3+ years in a senior or leadership role
• Experience developing and scaling cloud-hosted, data-centric applications:
  • API design (REST and GraphQL)
  • Data pipelines and streaming (Spark, Kafka, Airflow, and other related tools)
  • Data lakes and lakehouses
  • SQL and relational databases (PostgreSQL preferred)
  • NoSQL, time series, and other non-relational databases
  • Containers, Microservices, and Serverless
  • Modern Authentication (SAML, OAuth, and OIDC)
• Experience with one or more major cloud providers (AWS preferred)
• Strong understanding of modern software development tools and practices:
  • Scrum, Kanban, or other agile development methodologies
  • Git and version control best practices for continuous deployment
  • CI/CD pipelines
  • Automated testing (Unit, Integration, etc.)
  • Infrastructure as Code (e.g. Terraform)
• Experience with IoT and time series data preferred
• Understanding of Data Science, Machine Learning, and MLOps preferred
• Ability to adapt to new programming languages and tools as needed