Senior Platform Engineer, Deployment Automation

5 years

0 Lacs

Posted:19 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

About the role


Senior Platform Engineer, Deployment Automation

This role will be instrumental in leading deployment activities, improving automation processes, and enhancing our customer onboarding experience. Initially, you will spearhead the selection and deployment of a central system to support our deployment infrastructure.


Key Responsibilities

Automation Development & Tooling:

Deployment Architecture (CI/CD/GitOps):

Kubernetes & Containerization:

Cost & Efficiency:

Central System Leadership:

System Lifecycle Management:



Qualifications

  • Experience:

    Minimum 5+ years of relevant experience in Platform Engineering, Deployment Automation, or Site Reliability Engineering (SRE) roles.
  • Core Language (Required):

    Strong, verifiable proficiency and experience developing custom tooling and orchestration scripts using

    Python

    . Knowledge of

    Bash/Shell scripting

    is a strong asset.
  • Orchestration & Containerization:

    Mandatory hands-on experience deploying and managing applications within

    Kubernetes (K8s)

    and

    Docker

    .
  • Deployment Tooling:

    Proven ability to design and implement CI/CD pipelines (e.g.,

    GitLab CI, GitHub Actions, Jenkins

    ) and implement

    GitOps

    best practices.
  • Hybrid Infrastructure:

    Specific experience automating deployment to

    hybrid SaaS and on-prem computer vision systems

    or physical edge devices.
  • Performance Analysis:

    Experience conducting performance benchmarking and complex cost/performance analysis to inform strategic hardware selection decisions (GPU/CPU efficiency).
  • Networking & Systems:

    Solid understanding of advanced networking concepts for deployment architecture (

    VLANs, DNS, routing, firewall rules

    ) and familiarity with virtualization/Linux administration.
  • Advantage:

    Familiarity with video streaming protocols (

    RTSP, ONVIF

    ) and

    NVR

    system optimization is highly valuable.
  • Demonstrated ability to understand and design solutions spanning the entire system lifecycle, including hardware, edge devices, NVRs, network components, and cloud services

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