Staff Machine Learning Developer
Montreal, QUEBEC, Canada
Applications have closed
ServiceNow
ServiceNow allows employees to work the way they want to, not how software dictates they have to. And customers can get what they need, when they need it.Company Description
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.
With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.
Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.
Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.
Job Description
This role is based in Montreal and the work persona for this role is "Flexible" (1, 2 or 3 days per week the employee will work from the office).
What you get to do in this role:
The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
- Contribute to the design, development and implementation of infrastructure, platform, deployment and observability features that power AI workloads;
- Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling;
- Contribute to the execution of deployment and support activities for AI/ML developers;
- Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.);
- Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users;
- Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs;
- Be a mentor for colleagues and help promote knowledge-sharing.
Rôle
- Contribuer à la conception, au développement et à la mise en œuvre des fonctionnalités d’infrastructure, de plateforme, de déploiement et d’observabilité qui alimentent les charges de travail en intelligence artificielle;
- Contribuer à l’amélioration continue de la pratique de l’ingénierie des fiabilités des services (SRE), en transformant les cas d’utilisation opérationnels en exigences pour les outils logiciels;
- Contribuer à l’exécution des activités de déploiement et de support les développeurs en intelligence artificielle;
- Produire un code de haute qualité, propre, évolutif et réutilisable en faisant respecter les meilleures pratiques en matière d’architecture logicielle et de process;
- Travailler avec les responsables de produits pour comprendre les exigences détaillées et prendre en charge votre code, de la conception à la mise en œuvre, en passant par la l’automatisation des tests de livraison d’un produit de haute qualité à nos utilisateurs;
- Implémenter un logiciel simple à utiliser pour permettre aux clients d’étendre et de personnaliser fonctionnalité afin de répondre à leurs besoins spécifiques;
- Être un mentor pour ses collègues et contribuer à promouvoir le partage des connaissances;
Qualifications
To be successful in this role you have:
- 6+ years of experience with infrastructure and platform operations, deployments, SRE and DevOps;
- 4+ years of configuration management / DevOps tooling (Ansible/Terraform/Puppet/Prometheus/Grafana/Splunk);
- 4+ years of development experience with Python, GoLang, Java or similar languages;
- Concrete work experience with containerized workloads on Docker & Kubernetes;
- Strong working experience operating distributed systems built on Linux and J2EE;
- Experience with software-defined networking, infrastructure as code and configuration management;
- Ability to manage projects with material technical risk at a team level;
- Analytical and design skills;
Pour réussir dans ce rôle, vous devez avoir :
- Plus de 6 ans d’expérience dans les opérations d’infrastructure et de plateforme, le déploiement, SRE et le développement DevOps
- Plus de 4 ans d’expérience dans la gestion de configuration et l’utilisation d’outils DevOps (Ansible/Terraform/Puppet/Prometheus/Grafana/Splunk)
- Plus de 4 ans d’expérience en développement logiciel avec les langages tel que Python, GoLang, Java ou des langages similaires;
- Une expérience de travail avec des charges de travail conteneurisées sur Docker et Kubernetes;
- Une expérience pertinente en opérations de systèmes J2EE distribués sous Linux;
- La capacité de gérer des projets présentant des risques techniques importants;
- Des compétences analytiques et de conception.
Additional Information
ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.
If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at talent.acquisition@servicenow.com for assistance.
For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.
Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.
From Fortune. © 2022 Fortune Media IP Limited All rights reserved. Used under license.
Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, ServiceNow.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible Architecture DevOps Distributed Systems Docker Engineering Golang Grafana Java Kubernetes Linux Machine Learning Puppet Python Research Splunk Terraform Testing
Perks/benefits: Flex hours Team events
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