Scylla

Benefits:

• Health Insurance

• Company stock options

Experience Requirements:

• 3+ years of DevOps experience

• Experience working with RHEL and Debian-based operating systems

• Experience in a Shell scripting language

• Experience in container and orchestration technology such as Docker and Kubernetes

• Experience with CI/CD frameworks such as Jenkins / AWS Code Deploy / Ansible / Github Actions

Other Requirements:

• Experience with cloud service providers such as AWS (Certification is a big plus)

• Experience working with Databases and Data sources such as MongoDB / AWS RDS / Redis / Memcached

• Knowledge of one or more programming languages, preferably Python and JavaScript is a big plus

• Ability to work effectively in a fast-paced team environment

• Problem-solving and decision-making skills

• Eager to learn and grow as an engineer

• Attention to detail

Responsibilities:

• Write specifications and documentation for the server-side features

• Analyze the technology currently being used and develop plans and processes for improvement and expansion

• Provide daily monitoring and maintenance of servers, logs, and alerts

• Install, upgrade and apply patches for production servers

• Administer systems using automated configuration management utilities

Benefits:

• Health Insurance

• Company stock options

• "Work From Home" Days

Education Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience

Experience Requirements:

• Proven experience in technical support or a related customer-facing role

Other Requirements:

• High level understanding of video analytics concepts and technologies

• High level understanding of security surveillance equipment like IP cameras, DVRs, NVRs

• Proficiency in troubleshooting software applications and network-related issues

• Knowledge of operating systems (Windows, Linux)

• Excellent written and verbal communication skills

• Ability to work independently and collaboratively within a team environment

• Strong problem-solving skills and a customer-oriented mindset

Responsibilities:

• Deliver timely and effective technical support to customers and end-users for our video analytics software products

• Diagnose and resolve software and hardware issues related to video analytics solutions, collaborating with cross-functional teams as needed

• Create and maintain clear documentation, knowledge base articles, and solution guides for common issues

• Work closely with development and product management teams to communicate customer feedback and assist in resolving complex technical issues

• Conduct remote troubleshooting sessions to guide customers in the implementation and optimal use of our software

Benefits:

• Health Insurance

• Company stock options

• Individual Benefit package (serves for your work and life balance)

• "Work From Home" Days

• Team events and trainings for personal development

Experience Requirements:

• 4+ years experience in computer vision and/or deep learning for object detection and tracking

Other Requirements:

• Excellent programming skills and knowledge of C/C++, Python

• Familiar with Computer Vision libraries like OpenCV, Ceres etc.

• Strong problem solving skills with an emphasis on product development

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications

• Proficiency training large scale models using modern machine learning/ deep learning packages (e.g. TensorFlow, PyTorch, Keras, Scikit-learn), and experience with data analysis stacks (such as numpy, scipy, pandas, etc.)

• Model deployment and scaling experience

• Experience working with and creating data architectures

• Familiarity with AWS, GCP, Docker is a big plus

• Excellent written and verbal communication skills for coordinating across teams

• A drive to learn and master new technologies and techniques

Responsibilities:

• Design and implement innovative computer vision algorithms for solving challenging scene understanding problems

• Research areas: object detection, tracking, classification; image registration; 3D modeling; performance modeling; contextual reasoning

• Broad foundation in computer vision theory and algorithms

• Train deep learning models with internal and external image datasets

• Develop original ideas to create analytical system of models