Description

Kastle Systems


Principal Software Engineer

US-VA-Falls Church

Job ID: 2025-4453
Type: Regular
# of Openings: 1
Category: Information Technology & Software Development
CheckVideo

Overview

 At CheckVideo, a division of Kastle, we are transforming video security with our AI-enabled cameras. Thousands of customers depend on us every day for mission-critical security, delivered through our cloud infrastructure. We are looking for an experienced Principal Software Engineer who will be responsible for developing and maintaining our flagship product assets. This includes the architecture, design, development & testing of CheckVideo applications. This is an exciting position to work on the cutting edge of technology with a great team and make a meaningful contribution every single day. This is a hybrid position based out of our Falls Church, Virginia office. In addition to a great work environment, we provide excellent benefits (Medical/Dental/Vision, 401K, Tuition/Training Assistance, BrightHorizons Lifestyle Assistance, Wellness Program, Paid Time Off & Holidays, etc.) and we are proud to be a Certified Great Place to Work. For more information on our products & services as well as what it's like to work with us, please visit CheckVideo and Kastle Careers.  

Responsibilities

Develop, test & deploy CheckVideo applications in a secure mannerDevelop in a Linux environment using source code control system and deployment pipelinesMaintain and update production software as necessaryScale and tune for performance to meet production demandSecure our software by addressing any vulnerabilities and by writing high-performing, scalable, and secure software to meet customer demands.Follow SDLC best practices for scalability, reliability & observability

Qualifications

Bachelors degree required; Advanced degree preferredAt least 7 years of experience developing and shipping software for mass market productsKnowledge & experience with the SDLC and programming languages: Python, C, C++ and GoExperience with the following:
AI Training & Inference: LLM (Large Language Models), Deep Learning, Computer Vision, PyTorch, TensorFlowCloud computing: AWS, GCP, Azure, Docker, KubernetesSource code management systems such as Git and BitbucketDevOps tools: Jenkins, Gitlab, GitOpsDatabases and NoSQL experience
• Strong skills in troubleshooting production issues

Preferred, but not required: 

• Experience with:
  • Infrastructure management tools such as Ansible, Chef, Puppet, or Terraform
  • Designing and developing services using distributed systems principles
  • Media codecs and streaming protocols. Examples include: H.264 (AVC), RTSP (Real Time Streaming Protocol), H.265 (HEVC), ONVIF, or others

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