Level

Valeo

DevOps Engineer, Valeo Service

Valeo is hiring a DevOps Engineer, Valeo Service in Cairo, Egypt. Level rates it ; you can apply on Valeo.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions prompt engineering, RAG and AI agents among its tools and skills.
  • Level classes it as a mid-level role.
  • Valeo has 1,000+ other open roles on Level.
  • Posted within the past week.

AI in this role

prompt-engineeringragai-agentsai-safety

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Responsibilities

As a junior technical position, specialised in DevOps you would:


  • Work closely with engineering professionals within the company to build and maintain cloud infrastructure on AWS & GCP in addition to CICD tools and practices required for projects’ delivery and maintenance.
  • Contribute in building cloud architecture schemes collaboratively with products’ teams.
  • Work on continuous monitoring and configure alerting tools for ensuring operational excellence and high reliability using cloud monitoring and Datadog.
  • Background about developing and integrating LLM-powered applications using APIs, prompt engineering, RAG, embeddings, and vector databases.
  • Familiarity with AI agent architectures, tool calling, workflow orchestration, and multi-agent systems.
  • Experience working with cloud AI services and platforms such as AWS, Azure, or Google Cloud.
  • Strong understanding of AI security, responsible AI, data privacy, model safety, and AI governance.
  • Contribute effectively in the continuous improvement to company products and work environment by submitting proposals and initiatives whenever possible.
  • Design and build automation solutions for continuous development, testing and release workflows.
  • Act upon alerts/logs on infrastructure layer (security, performance, scalability, reliability, cost)
  • Optimise performance and cost of provisioned resources on cloud.
  • Monitor the CI/CD running activities on production to ensure functional correctness.
  • Identify weaknesses in the environments or streamline workflows and propose corrective solutions.
  • Raise flag upon any production down incidents and take needed actions when applicable.
  • Ensure CICD compliance according to company security policies.
  • Implement security best practices and data access policies to prevent any risk of data leakage.
  • Respond to issues through ticketing systems and provide end to end resolution within defined SLA.
  • Report set of defined KPIs to assess the platform health and the service level.
  • Ensuring availability, performance, security, and scalability of production systems.
  • System troubleshooting and problem resolution across various application domains and platforms.
  • Evaluation of new technology alternatives and products that can contribute to the team's success and effectiveness.

Education/Training

Bachelor or Masters degree in computer science, computer engineering, or related technical field

Professional Experience

  • The candidates should have 3+ years of experience, with most of these qualities:
  • Experience as a DevOps Engineer.
  • Basic knowledge in:
    • Linux Systems.
    • Cloud Infrastructure.
    • Systems Metrics, logging, and monitoring.
    • Running testing automation and generating reports.
    • Jenkins Pipelines (or similar) for both Web and Mobile Apps.
    • Docker technologies including docker compose framework.
    • Different types of database (MYSQL, Postgres, NoSQL, Dynamodb) management, monitoring and backup strategies.
    • Managing Git servers and Git workflows.
    • Backup strategies and restore techniques for different types of storage on cloud systems such as RDS, Dyanamodb, Buckets, EFS, etc.
    • Excellent communication and collaboration skills.
    • Excellent knowledge of Agile principles.
    • Excellent organisational and time management skills, and the ability to work transversely across multiple software products.
    • Good knowledge and experience on one scripting language and one programming language at least (preferred NodeJS and shell scripting).
    • DevOps Professional certificate or Solution Architect certificate is a plus

Job:

R&D Engineer

Organization:

GTSC Software Chief

Schedule:

Full time

Employee Status:

Regular

Job Type:

Job Posting Date:

2026-10-14

Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com

How we rate this

DevOps Engineer, Valeo Service at Valeo rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsAI Safety

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, AI agents, and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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