Everseen: A leader in vision AI solutions for the world’s leading retailers.
What you’ll do
Teaching and Sharing Culture:
Share skills, knowledge, and expertise with members of the data engineering team.
Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions.
Design and Development:
Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities.
Ensure that the developed solutions meet project objectives and enhance user experience.
Influence and Decision-Making:
Have influence over the technology stack and internal technical improvements, contributing to strategic decision-making.
Coding:
Based on requirements and a longer-term product and feature strategy, design and implement reusable, testable, efficient, and elegant code.
Ensure adherence to coding standards and best practices.
Testing:
Create, maintain, and run unit tests for new and existing applications and services.
Aim to deliver defect-free and well-tested solutions.
Data Analysis:
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. Based on this, begin to implement changes.
Continuous Integration and Continuous Deployment (CI/CD):
Create and maintain CI/CD integration using various tools.
Automate the build, test, and deployment processes to ensure efficiency and reliability.
Integration of Third-Party Solutions:
Research and propose third-party software solutions to optimize system performance.
Expand product capabilities by integrating compatible third-party solutions.
Monitor, update and tracking of third-party solutions' compatibility with Everseen stack according to internal development guidelines
Monitoring and Troubleshooting:
Monitor production logs to identify and troubleshoot issues promptly.
Ensure seamless operation and timely resolution of any anomalies to maintain system reliability.
Documentation:
Responsible for creating, reviewing, and maintaining high-quality technical documentation to ensure clarity, consistency, and knowledge sharing within the development team.
Profile and skills:
5+ years of work experience in a relevant role and global SaaS company
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and cross-functional collaboration skills.
Comfort working in ambiguous and fast-evolving environments.
Technical Skills:
Expert knowledge of Python
Experience with CI/CD tools (e.g., GitLab, Jenkins). Hands-on experience with Kubernetes, Docker, and cloud services.
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Data engineering tools (e.g., Snowflake, Databricks, BigQuery, Airbyte, Kafka)
Familiarity with feature stores and model registries. Exposure to large-scale distributed systems and performance optimisation.
Ability to work with Linux systems, including troubleshooting skills such as log investigations, performance testing, and connectivity investigation.
Possesses a deep understanding of technical concepts and terminology relevant to Everseen's products and services.
Expert knowledge of advanced concepts like microservices and distributed systems, indicating an understanding of modern software development architectures.
In-depth knowledge of Azure Kubernetes Services for container orchestration, Azure Blob Storage for data storage, and ElasticSearch for search and analytics.
Ability to leverage cloud computing technologies and services for testing and validation purposes.
In-depth knowledge of cloud security, scalability, and performance optimization principles.
Excellent understanding of cloud computing technologies and services, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
Broad understanding of the software engineering and architecture space, including knowledge of various programming languages, frameworks, techniques, and industry trends in AI.
