Software Engineer, Entry Level

Qualifications
At least 2-3 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 AI Training & Inference: LLM (Large Language Models), Deep Learning, Computer Vision, PyTorch, TensorFlow
Experience with Cloud computing: AWS, GCP, Azure, Docker, Kubernetes
Experience with source code management systems such as Git and Bitbucket
Experience with DevOps tools: Jenkins, Gitlab, GitOps
Databases and NoSQL experience
Strong skills in troubleshooting production issues
Responsibilities
The role involves working on AI-enabled video security applications, ensuring software is secure, scalable, and reliable
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
Job description
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Job Summary:

Kastle is a leading provider of property technology solutions, and they are seeking a Software Engineer to develop and maintain their flagship product assets. The role involves working on AI-enabled video security applications, ensuring software is secure, scalable, and reliable.

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:

Required:

• Bachelors degree required; Advanced degree preferred

• At least 2-3 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 AI Training & Inference: LLM (Large Language Models), Deep Learning, Computer Vision, PyTorch, TensorFlow

• Experience with Cloud computing: AWS, GCP, Azure, Docker, Kubernetes

• Experience with source code management systems such as Git and Bitbucket

• Experience with DevOps tools: Jenkins, Gitlab, GitOps

• Databases and NoSQL experience

• Strong skills in troubleshooting production issues

Preferred:

• 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:

Kastle is a leading provider of property technology solutions, protecting commercial real estate, multi-family residential, global enterprises, educational institutions and critical government facilities. Founded in 1972, headquartered in Falls Church, Virginia, USA, team size 501-1000 employees, currently Late Stage. Kastle Systems has a track record of offering H1B sponsorships.