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Senior DevOps Engineer

Synapse Analytics

Location
Onsite (Maadi, C)
Employment
Full-time
Level
Senior Level
Posted Today

About the role

Synapse Analytics, an AI and data science company, is seeking a Senior DevOps Engineer to lead infrastructure strategy and architecture for complex hybrid environments. The role focuses on ensuring scalability, security, and operational excellence while mentoring junior engineers and optimizing CI/CD processes.

Skills

DevOps SRE Infrastructure Architecture Hybrid Cloud RKE2 OpenShift Networking Security Cryptography Linux CI/CD GitOps IaC Leadership Mentoring Troubleshooting

Full job details

In this role, you will lead infrastructure work for complex hybrid environments and major initiatives. You will shape strategy, ensure quality, scalability, and security, and mentor other engineers.

Responsibilities

  • Lead infrastructure discovery, architecture, and delivery.

  • Advocate for hybrid architectures aligned with business needs.

  • Establish infrastructure standards and security practices.

  • Mentor DevOps Engineers I and II and lead hybrid infrastructure strategy.

  • Resolve ambiguous, strategic infrastructure challenges.

  • Collaborate with senior leadership and product and engineering teams.

  • Address security threats, performance bottlenecks, and single points of failure.

  • Reduce technical debt and CI/CD inefficiencies.

  • Evaluate infrastructure strategies and technologies.

  • Lead response to high-severity incidents.

  • Explain infrastructure strategy, tradeoffs, and costs.


  • A BS/BA, MS, or PhD equivalent in Computer Science, Engineering, or a related field.

  • 5+ years of experience in DevOps, SRE, or senior infrastructure roles.

  • Experience operating large-scale, highly available cloud and on-premises environments using RKE2 or OpenShift.

  • Strong knowledge of networking, security, and cryptography.

  • Understanding of software and system architecture and Linux.

  • Ability to troubleshoot complex issues and work through business ambiguity.

  • Experience with CI/CD, GitOps, and IaC.

  • Experience setting infrastructure vision and roadmaps.

  • Experience across the end-to-end infrastructure lifecycle.

  • Understanding of KPIs and CapEx/OpEx.

  • Awareness of AI and machine learning trends.

  • Cross-functional leadership and mentoring skills.