Principal Software Engineer
:
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 manner
- Develop in a Linux environment using source code control system and deployment pipelines
- Maintain and update production software as necessary
- Scale and tune for performance to meet production demand
- Secure 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 preferred
- At least 7 years of experience developing and shipping software for mass market products
- Knowledge & experience with the SDLC and programming languages: Python, C, C++ and Go
- Experience with the following:
- AI Training & Inference: LLM (Large Language Models), Deep Learning, Computer Vision, PyTorch, TensorFlow
- Cloud computing: AWS, GCP, Azure, Docker, Kubernetes
- Source code management systems such as Git and Bitbucket
- DevOps tools: Jenkins, Gitlab, GitOps
- Databases 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
Company Overview:
Our CheckVideo division is transforming video security with AI-enabled cameras. Thousands of customers depend on us every day for mission-critical security, delivered through our cloud infrastructure.
The property technology space is growing rapidly, and Kastle is leading the way. Kastle is the premier provider of property technology solutions, with a track record of introducing innovative technologies to serve over 460M square feet of real estate globally. Clients span the commercial and multifamily real estate, education, and construction industries and the customers they serve.
Equal Opportunity Statement:
At Kastle, we believe that diversity makes us stronger - at work and in the world. Kastle Systems International, LLC is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, marital status, pregnancy or any other basis protected by applicable federal or state laws.
#SoftwareEngineer #Linux #DevOps #CI_CD #Automation #Python #Bash #ShellScripting #Monitoring #Prometheus #Grafana #Security #AWS #Azure #GCP #Git #PerformanceTuning #ProductionSupport #SoftwareDeployment #LinuxSoftwareDev #SoftwareEngineer #CloudEngineer #AI/ML #gstreamer #ffmpeg #accesscontrol #videosecurity #videosurveillance #artificialintelligence #machinelearning
- AI Training & Inference: LLM (Large Language Models), Deep Learning, Computer Vision, PyTorch, TensorFlow
- Cloud computing: AWS, GCP, Azure, Docker, Kubernetes
- Source code management systems such as Git and Bitbucket
- DevOps tools: Jenkins, Gitlab, GitOps
- Databases and NoSQL experience
- 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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