About Cellebrite:โฏ
Cellebriteโs (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebriteโs AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebriteโs digital forensic and investigative solutionsโavailable via cloud, on-premises and hybrid deploymentsโto close cases faster and safeguard communities.
To learn more, visit us atโฏwww.cellebrite.com,โฏhttps://investors.cellebrite.com/investorsโฏand find us on social media @Cellebrite.
What is your mission?
As a Senior DevOps Engineer, you'll take charge of automating how we deploy infrastructure and applications with a strong focus on the infrastructure powering our AI/ML systems.
You'll also lead efforts to make our processes better, helping engineering and product teams work faster and smarter, without compromising service quality.
You bring an AI-first mindset to your own daily work using AI tools to move faster, automate more, and continuously raise the bar on how the team operates. Your work supports Cellebrite's mission to protect lives, accelerate justice, and ensure data privacy.
Responsibilities:
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ืชืืืืจ ืืชืคืงืื (ืืฉืืืช ืืืคืื ืขื ืืืขืืืื)
ืืืืืจ ืืชืคืงืื Senior DevOps ืืฆืืืช ืฉืขืืื ืขื ืชืฉืชืืืช ืืกืืืืืช ื-SaaS ืฉื ืืืืจื. ืืฆืืืช ืืฉืื ืืื DevOps ืชืฉืชืืชื (AWS, Kubernetes, Terraform/CDK) ืืืื ืขืืืื ืืคืืืงืืืืืช, ืขื ืืืฉ ืืืง ืขื CI/CD ื-Infrastructure as Code.
ืืฉ ืื ืคืืงืืก ืืฉืืขืืชื ืขื ืชืฉืชืืืช ืืขืืืืืช ื-AI โ ืืืื deployment ื-inference ืฉื ืืืืืื ืืกืืืืช Production โ ืืืื ืื ืื ื ืืืคืฉืื ืืืฉืื ืขื ื ืืกืืื hands-on ืืืืชื ืืขืืืืืช AI/ML, ืื ืจืง ืืจืืช POC.
ืืขืืืื ืืื end-to-end: ืืชืฉืชืืืช ืืืคืืืงืฆืื ืืขื deployment, troubleshooting ืืขืืืื ืฆืืืื ืืื ืฆืืืชื R&D. ืืชืคืงืื ืืืื On-call, ืืืืคืฉืื ืืืฉืื ืืืง ืืงืฆืืขืืช ืฉืืืื ืื ืืืืืื ืืืืืืง best practices ืขื ืืฆืืืช.
1. ืชืกืคืจ ืื ืงืฆืช ืขื ืืชืคืงืื ืื ืืืื ืฉืื โ ืืื ืืชื ืขืืกืง ืืืื-ืืื ืืืื ืืืขืืืื ืฉืื ืืื hands-on DevOps?
2. ืื ืื ืืกืืื ืฉืื ืขื AWS ื-Kubernetes? ืขืืืช ืขื EKS ืืกืืืืช Production?
3. ืืื ืขืืืช ืขื Terraform ืื CDK? ืืืืื ืจืืช ืขืฆืืืืช ืืชื ืื ืื ืชืฉืชืืช as code?
4. ืกืคืจ ืื ืงืฆืช ืขื ืื ืืกืืื ืฉืื ื-CI/CD ืืืชืืืืื deployment. ืขื ืืื ืืชื ืืขืืจื ืืชืืืื ืืงืฆื ืืงืฆื โ ืืืืคืืืงืฆืื ืืขื ืืขืืื ื-Production?
5. ืืฉ ืคืืงืืก ืืฉืืขืืชื ืขื AI infrastructure. ืืืื ื ืืกืืื hands-on ืืฉ ืื ืขื ืืขืจืืืช ืื workloads ืฉื AI/ML ื-Production? (ืขืืืช ืขื Bedrock, SageMaker, GPU, model deployment ืื inference?)
6. ืืชืคืงืื ืืืื ืื On-call. ืกืคืจ ืื ืขื incident ืืฉืืขืืชื ืฉืืืคืืช ืื ื-production ืืืื ืืชื ืืืช.
ืงืจืืืจืืื ื ืืืื ืืืืื (ืื ืืืืงืื ืืืื)
Senior hands-on + AWS/Kubernetes ืืืงืื + ื ืืกืืื ืืืืชื ื-AI/ML Production + Application DevOps/CI-CD.
MUST HAVE ืืืื ื-AI ืืจืงืจืืืื ื (STRONG HIRE)
ยท Strong AWS + Kubernetes/EKS โ ืืืืืฅ ืืฆืืื "EKS" ืืืคืืจืฉ ืืื ืจืง "Kubernetes", ืืื ืืืืืื ืื ืืกืืื ืขื K8s self-managed ืื ืืกืืืืืช ืฉืืื ื AWS.
ยท Strong CI/CD + Application DevOps โ ืืืื Infrastructure as Code (Terraform/CDK) ืืืืืช ืืคืชื ื ืืืืืช.
ยท AI/ML in Production โ ืืืืืฅ ืืืืกืืฃ ืืืืืช ืืคืชื ืงืื ืงืจืืืืช: model deployment, inference, SageMaker, Bedrock, GPU, ืืื ืืืืืื ืื ืืกืืื ืืจืืช POC/ื ืืกืื ืืืื.
ืืขืจื: ืืืื ืืืืื ืืฉืืืฉื MUST, ืืืื IaC ืฉืืื ืืงืจืืืจืืื ืืฉื ื ืืชืื ื-CI/CD ืืื ืืงืืืืจืื ื ืคืจืืช. ืืืขืืืื ืฉืื ืขืืืืื ืืื ืืฉืืืฉื ืขืืืื ืืืืื ื, ืื ืืื ืขื ืื ืืฉืืืฉื ืืกืืื ื ื-STRONG HIRE ืืืืคืื ืืืืจ ืืืชืจ