Qualifications
Deep expertise in DevOps, DataOps, and MLOps principles, practices, and tooling.Mastery of CI/CD pipeline design and implementation for diverse artifacts (code, data, models).Strong proficiency in cloud infrastructure management and automation (preferably Azure).Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes).Strong scripting and automation skills in languages such as Python, Bash, etc.Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK Stack, Datadog).Understanding of data engineering concepts and experience with data pipeline orchestration tools.Familiarity with ML model lifecycle management and associated tooling.Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.5+ years of experience in technical operations roles, with substantial expertise in DevOps and hands-on experience implementing DataOps and MLOps practices.Proven experience in a collaborative environment, promoting best practices and operational excellence.
About the job
We are seeking a highly skilled Senior DevOps Engineer to join our dynamic team at Generix Group. In this pivotal role, you will be responsible for the design, implementation, management, and optimization of our infrastructure, automation pipelines, and workflows that are essential for the entire software development lifecycle, data processing, analytics, and machine learning model deployment. You will serve as a key technical authority, ensuring the reliability, scalability, efficiency, and speed of our development, data, analytics, and machine learning operations. Your role will foster collaboration among teams and promote best practices across DevOps, DataOps, and MLOps domains.
Key Responsibilities:
- Design, build, and maintain robust CI/CD pipelines for software applications, data transformations (ETL/ELT), and machine learning models (training, validation, deployment).
- Implement and manage Infrastructure as Code (IaC) using tools such as Terraform to ensure reproducible and scalable environments, whether in the cloud or on-premise.
- Develop and automate data quality checks, data pipeline monitoring, and alerting systems within the DataOps framework.
- Establish and manage MLOps workflows including experiment tracking, model versioning, automated model retraining, and performance monitoring (drift, bias detection).
- Implement comprehensive monitoring, logging, and alerting solutions across all systems and pipelines (applications, data flows, ML models).
- Collaborate closely with software developers, data engineers, data scientists, and analysts to understand their needs and provide operational support and tooling.
- Champion and enforce best practices in security, reliability, and performance across all operational domains.
- Troubleshoot and resolve complex infrastructure, pipeline, and deployment issues.
- Evaluate and recommend new tools and technologies to improve operational efficiency and capabilities.
These objectives are not exhaustive and will evolve according to the identified needs and current projects.
About Generix Group
Generix Group is a prominent SaaS provider specializing in Collaborative Supply Chain solutions that facilitate seamless exchanges of goods and data globally between suppliers and customers, all while effectively managing their flows. Our innovative platform optimizes the management of physical flows by coordinating the entire supply process, from production to delivery, utilizing our WMS, TMS, RMS, and VMI solutions. Furthermore, we streamline logical and financial flows by integrating the systems of all players in the chain, from order to payment, through our e-invoicing, e-reporting, EDI, P2P, and O2C solutions.At Generix, we have created a unique ecosystem tailored to meet our customers' needs, ensuring top-notch performance and sustainability while connecting all global players in retail, industry, and services. We are committed to fostering a transition towards greater digitalization and energy efficiency, supported by our 850 dedicated employees who provide day-to-day assistance to more than 4,500 companies worldwide.
