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Site Reliability Engineering
Site Reliability Engineer
Paris/Full-time

Site Reliability Engineer

Paris/Full-time

JOB TARGET / RAISON D'ÊTRE
                                                                                
Preligens has developed efficient monitoring tools based on an automated analysis of geospatial information and multiple other sources. By combining state-of-the-art AI techniques in both Computer Vision and Deep Learning, Preligens provides its customers with more reliable and more precise information, thus enabling faster interventions for a safer environment. Our fast growth (x5/year) is fueled by international development (UK, Germany, US) and development of new product lines.
You will join our new Reliability Engineering team in order to help engineering teams improve the reliability, security, agility, and performance of the products they own. Our SREs own processes and tooling that can contribute to the reliability of our solutions, including infrastructure design and operation, how our capacity meets our needs and how to release our products. As a site reliability engineer, you will work closely with one of our product team to help them achieve our reliability requirements.

MAIN AREAS OF ACCOUNTABILITY / PÉRIMÈTRE DE RESPONSABILITÉS

- Provide operational support for the solution to our customers
- Participate in the definition and follow up of KPIs to ensure reliability of the product
- Participate in the design and the build of the architecture
- Contribute to promoting a strong engineering culture, working closely with other teams

MAIN ACTIVITIES / ACTIVITÉS PRINCIPALES

- Provide services to the developer team to help them focus on what they are expert at
- Define, follow and take actions on SLOs concerning reliability
- Work closely with other devops and the delivery team to meet our reliability requirements
- Manage and improve the CI / CD pipeline of the project
- Implement and maintain project infrastructure and resources
- Be a stakeholder and architecture and design concerns
- Promote state-of-the-art quality and automation culture

INFLUENCE ON RESULTS / DIMENSIONS CARACTÉRISTIQUES

Must-haves:
- At least 3 years of experience in same positionability to explain technical topics to different audiences
- Good organizational skills, autonomy, and reporting capabilities
- Experience working on cloud (AWS) & hybrid infrastructures
- Experience working on Docker with an orchestration system
- Experience in implementing CI / CD pipelines and related challenges
- You are comfortable with a programming language, preferably Python
- You have a wide technical background, from infrastructure to development
- You are an ambassador for automation and quality

Nice-to-haves:
- Experience in startups or high reliability companies
- You already worked for defense, aerospace or intelligence companies
- Experience working on data platforms (data lake, data warehouse, Spark...)
- Mastering a low-level technical topic (network, storage, database...)
- You aren’t following the trend, but you are attached to find the best solution to a problem
- You have worked on different kinds of software distribution (licensing and SaaS)