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We are seeking a Full-Stack Engineer to be a key member of the Everseen ML Operations team. As part of that team, you will own the design and implementation of the front-end and back-end components of the Everseen internal ML platform, supporting the AI researchers requirements for dataset management and video/image annotation tools. You will be instrumental in shaping our internal Machine Learning Platform and driving automation, reproducibility, and performance across the machine learning lifecycle.
Job Responsibility:
Design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience
Design and implement reusable, testable, efficient, and elegant code based on requirements
Ensure adherence to coding standards and best practices
Create, maintain, and run unit tests for both new and existing applications and services
Aim to deliver defect-free and well-tested solutions
Analyze and collect data from various sources such as log files, application stack traces, and thread dumps
Utilize data analysis to identify trends, patterns, and potential areas for improvement
Create and maintain CI/CD integration using various tools
Automate the build, test, and deployment processes to ensure efficiency and reliability
Evaluate and integrate third-party software solutions to optimize system performance
Expand product capabilities by integrating compatible third-party solutions
Update and track third-party solutions' compatibility with Everseen stack according to internal development guidelines
Monitor production logs to identify and troubleshoot issues promptly
Ensure seamless operation and timely resolution of any anomalies to maintain system reliability
Responsible for creating, maintaining, and updating technical documentation to ensure code, systems, and processes are clearly understood and easily accessible by team members and stakeholders
Requirements:
2-3 years of work experience in a relevant role and global SaaS company
Experience in ML infrastructure, MLOps, or Platform Engineering
Strong programming skills, with experience in Front-End development, in React and Angular
Understanding ML lifecycle, model versioning, and monitoring
Experience with back-end frameworks on top of NodeJS ( NestJS )
Hands-on experience with Kubernetes, Docker, and cloud services
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Excellent communication and collaboration skills
Experience with Infrastructure as Code (e.g., Terraform)
Possesses a comprehensive understanding of technical concepts and terminology relevant to Everseen's products and services
Ability to work with Linux systems, including troubleshooting skills such as log investigations, performance testing, and connectivity investigation
Knowledge of advanced concepts like microservices and distributed systems
Advanced knowledge of a public cloud provider services, including Kubernetes services for container orchestration, Cloud data storage, testing processes
Good understanding of cloud security, scalability, and performance optimization principles
Demonstrated interest in learning and a strong desire to expand knowledge
Curiosity to explore new technologies, methodologies, and best practices
Results-oriented attitude
Possesses strong analytical and problem-solving abilities, leveraging data to inform product decisions
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