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Valeo

Senior SRE Engineer/ Sys Ops, GISACC

Valeo is hiring a Senior SRE Engineer/ Sys Ops, GISACC in Cairo, Egypt. Level rates it ; you can apply on Valeo.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a senior role.
  • Valeo has 1,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

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.

Mission


Valeo is hiring a Senior SRE Engineer for the currently-growing GISACC department.


He/She will be responsible for provisioning, operating & the administration of the infrastructure of Valeo tools and applications used by R&D Engineers across all Valeo worldwide sites (either hosted on-prem or on AWS).


He/She will be also responsible for implementing & configuring the monitoring solutions, required for monitoring the previously mentioned tools and applications.



Responsibilities



  • PI Planning & Alignment: Collaborate in Program Increment (PI) planning and sprint standups to align infrastructure roadmaps and SRE initiatives with delivery goals while mitigating cross-team dependencies.
  • Proactive Monitoring & Observability: Oversee full-stack telemetry and proactive monitoring strategies, leveraging distributed tracing, infrastructure metrics, and real-time failure detection to mitigate risks early.
  • Capacity Management: Optimize resource utilization across AWS and on-premises environments through intelligent right-sizing and telemetry-driven capacity planning.
  • Advanced CI/CD & Progressive Delivery: Implement continuous verification, automated canary deployments, and automated checks via robust CI/CD pipelines to guarantee functional correctness in production.
  • FinOps & Cost Governance: Drive automated cloud cost attribution, tagging strategies, and resource governance across all workloads.
  • Infrastructure as Code & GitOps: Provision, fine-tune, and scale infrastructure using declarative IaC and GitOps workflows.
  • Reliability Engineering & Bottleneck Resolution: Identify architectural bottlenecks, reliability risks, and security vulnerabilities within operated services, engineering resilient and automated solutions.
  • Incident Response & SRE: Lead automated incident response, blameless root-cause analysis, and self-healing workflows for production incidents.
  • Shift-Left DevSecOps & Compliance: Enforce automated security policies (SAST, DAST, container scanning, and SCA) across all pipeline stages.
  • ITSM Incident Management: Manage operational incidents via enterprise ticketing platforms, delivering rapid resolution within strict SLAs.
  • On-Call & Maintenance Operations: Manage rotational on-call duties for emergency outages and planned, high-impact maintenance windows, ensuring seamless change execution.
  • Engineering Metrics & KPIs: Track and report platform health and engineering performance using DORA metrics and availability KPIs.
  • Continuous Improvement & Mentorship: Champion a culture of automation and psychological safety by submitting enhancement proposals, eliminating toil, and providing technical mentorship and peer reviews.

Education/Training

  • B.Sc. in Computer Engineering, Communication, or Electronics. 
  • B.Sc. in Computer Science 

Professional Experience

From 3+  years of relevant experience.


Qualifications


  • Linux and Windows  Administration is a Must
  • AWS & Cloud Operations related knowledge is a Must
  • Very Good knowledge in Terraform
  • Very Good knowledge in Docker
  • Very Good knowledge in Jenkins administration
  • Git knowledge is a Must
  • Ansible  and K8s knowledge is a plus
  •  Good knowledge in monitoring or log analysis tools (ex. Prometheus & Grafana, Splunk, ELK, Datadog, ......)
  • Preferred to have any scripting knowledge
  • -English Language is a must
  • Strong analytical, critical thinking, root-cause analysis and problem-solving skills.
  • Excellent Troubleshooting and debugging skills
  • Team spirit and excellent communication abilities
  • High sense of ownership and responsibility
  • Customer orientation is highly required
  • Ability to come up with alternative ideas/implementation to handle critical situation/issues
  • High sense of ownership and responsibility

Languages

  • English is a must. 
  • German or French is a plus.

Other Specifications

  • Linux and Windows  Administration is a Must
  • AWS & Cloud Operations related knowledge is a Must
  • Very Good knowledge in Terraform
  • Very Good knowledge in Docker
  • Very Good knowledge in Jenkins administration
  • Git knowledge is a Must
  • Ansible  and K8s knowledge is a plus
  • Good knowledge in monitoring or log analysis tools (ex. Prometheus & Grafana, Splunk, ELK, Datadog, ......)
  • Preferred to have any scripting knowledge
  • Ticketing systems knowledge is a plus (Jira)

Job:

R&D Engineer

Organization:

R&D DSIS Applications Technical

Schedule:

Full time

Employee Status:

Regular

Job Type:

Job Posting Date:

2025-06-01

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

Senior SRE Engineer/ Sys Ops, GISACC at Valeo rates 38 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.

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