Generix Group

SaaS, Collaborative Supply Chain solutions

SeniorDevOpsEngineer

Cluj-Napoca, Romania FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior DevOps Engineer at Generix Group. Skills: DevOps, DataOps, MLOps, CI/CD, Azure, Docker, Kubernetes, Python, Bash, Terraform. designing, implementing, managing, and optimizing the infrastructure, automation pipelines, and workflows that support the entire lifecycle of software development, data processing, Analytics and machine learning model deployment. ensuring the reliability, scalability, efficiency, and speed of our development, data, analytics, and ML operations”

What You'll Achieve.

ensuring the reliability, scalability, efficiency, and speed of our development, data, analytics, and ML operations; make a meaningful impact on enterprise product quality

Industry & Context.

SaaS, Collaborative Supply Chain solutions
Problems you'll solve

Troubleshoot and resolve complex infrastructure, pipeline, and deployment issues

What They're Looking For.

Must Have

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), proficiency in cloud infrastructure management and automation (Azure), Expertise in containerization and orchestration (Docker, Kubernetes), scripting and automation skills (Python, Bash, etc. ), Experience with monitoring, logging, and observability tools (e. g. , Prometheus, Grafana, ELK Stack, Datadog), Understanding of data engineering concepts and data pipeline orchestration tools, Familiarity with ML model lifecycle management and associated tooling, 5+ years of experience in technical operations roles, with deep expertise in DevOps and demonstrable, hands-on experience implementing DataOps and MLOps practices, Proven experience with cloud platforms (mainly Azure, AWS is a plus), containerization (Docker, Kubernetes), CI/CD tools (e. g. , Jenkins, GitLab CI, ArgoCD), IaC tools (e. g. , Terraform), scripting (Python, Bash), data pipeline orchestration (e. g. , Airflow), and ML platforms (e. g. , MLflow, Kubeflow, SageMaker/Vertex AI), English or French Level: fluent

Nice to Have

AWS is a plus

What You'll Do.

and optimizing the infrastructure

and workflows that support the entire lifecycle of software development

Analytics and machine learning model deployment

ensuring the reliability

and speed of our development

and maintain robust CI/CD pipelines for software applications

data transformations (ETL/ELT)

and machine learning models (training

Implement and manage Infrastructure as Code (IaC) using tools like Terraform to ensure reproducible and scalable environments (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

automated model retraining

and performance monitoring (drift

Implement comprehensive monitoring

and alerting solutions across all systems and pipelines (applications

Champion and enforce best practices in security

and performance across all operational domains

Troubleshoot and resolve complex infrastructure

and deployment issues

Evaluate and recommend new tools and technologies to improve operational efficiency and capabilities

How You'll Work.

Team & Collaboration

fostering collaboration between teams; Collaborate closely with software developers, data engineers, data scientists, and analysts to understand their needs and provide operational support and tooling

Full Job Description

Generix is a leading SaaS vendor specializing in Collaborative Supply Chain solutions that enable the seamless exchange of goods and data across the globe between suppliers and customers, all while responsibly managing their flows. Its platform of innovative digital services optimizes the management of physical flows, by coordinating the entire supply process, from production to delivery, thanks to its WMS, TMS, RMS and VMI solutions; as well as logical and financial flows, by integrating the systems of all players in the chain, from order to payment, with its e-invoicing, e-reporting, EDI, P2P and O2C solutions. Generix creates a distinctive ecosystem designed to cater to its customers, ensuring top-notch performance and sustainability, connecting all global players in retail, industry and services, and fostering the transition toward greater digitalization and energy efficiency. With nearly 850 dedicated employees, Generix provides day-to-day support to over 4,500 companies across more than 60 countries, processes over 500 million invoices, handle more than 40 million order lines each month, and manage 8 million EDI messages daily. Our clientele includes Danone, FM Logistic, Fnac-Darty, Essilor, and Ferrero. This role is responsible for designing, implementing, managing, and optimizing the infrastructure, automation pipelines, and workflows that support the entire lifecycle of software development, data processing, Analytics and machine learning model deployment. This individual will be a key technical expert ensuring the reliability, scalability, efficiency, and speed of our development, data, analytics, and ML operations, fostering collaboration between teams and promoting best practices across DevOps, DataOps, and MLOps domains. Here's what you'll be doing: * 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 Infrastr

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