Senior DevOps Engineer

Cellebrite

. Design, develop, and maintain automation processes for deploying large-scale, enterprise-grade applications, including AI/ML workloads and pipelines .

Posted 10/17/2026full-timePetah Tikva • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining AI/ML infrastructure on AWS, utilizing tools like Amazon Bedrock and Kubernetes. Proven ability to implement CI/CD processes and enhance operational efficiency through automation and collaboration with cross-functional teams.

Highest-signal resume keywords

AWS Infrastructure DevelopmentAI/ML Systems Production ExperienceAmazon Bedrock ProficiencyInfrastructure as Code (Terraform, CloudFormation)DevOps Release Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWSAI/ML SystemsAmazon BedrockKubernetesTerraformCloudFormationCI/CD ProcessesAutomation ScriptingNetworkingLinux System Administration

Soft Skills

Excellent Communication SkillsTeam GuidanceContinuous Learning Mindset

Tools & Technologies

Google Cloud Platform (GCP)GitHub ActionsAI Coding AssistantsAgentic WorkflowsLLM-Powered Automation

Industry Keywords

High-Availability SystemsMulti-Cloud EnvironmentOperational MetricsDevOpsAI-Augmented Workflows

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformKubernetesLinuxTerraform

About the role

Key responsibilities & impact

Design, develop, and maintain automation processes for deploying large-scale, enterprise-grade applications, including AI/ML workloads and pipelines
Serve as the go-to expert for CI/CD processes supporting cloud and AI products
Architect, deploy, and operate infrastructure for AI systems, including Amazon Bedrock, model endpoints, and inference pipelines
Use AI tools and agents in daily DevOps work to increase velocity, reduce toil, and improve quality
Stay current with AI models, frameworks, cloud AI services, and industry best practices, bringing relevant advances into team tooling and processes
Partner with R&D, Product Management, and Architecture to deliver operational metrics and feedback supporting high product availability
Investigate reported and suspected outages and other issues, including those affecting AI/ML services
Oversee documentation of issues and resolutions and maintain a knowledge base of known issues
Produce, oversee, and maintain architecture diagrams, system designs, and runbooks
Work with SREs, DevOps Engineers, and developers to solve problems and investigate anomalies
Participate in an on-call rotation to help maintain the 99.95% uptime SLO

Requirements

What you’ll need

7+ years of experience working with AWS, with a proven track record of building complex infrastructure
2+ years of hands-on experience working with AI/ML systems in production, applying best practices for reliability, cost, security, and scalability of AI infrastructure
Strong, hands-on experience with Amazon Bedrock and the broader AWS AI/ML stack, such as SageMaker and vector databases
Demonstrated habit of using AI tools in daily engineering work, including AI coding assistants, agentic workflows, and LLM-powered automation
Continuous-learning mindset toward AI; genuine curiosity about the field and ability to keep skills current as technology evolves
Working knowledge of Google Cloud Platform (GCP), with ability to operate and troubleshoot across a multi-cloud environment
Strong experience with networking, containerization (Kubernetes), and Linux system administration
Deep understanding of Infrastructure as Code, including Terraform and CloudFormation
Strong experience with Kubernetes, preferably AWS EKS
Experience scaling and maintaining high-availability production systems
Experience with DevOps release management, versioning, build management, automation scripting, and CI tools such as GitHub Actions
Excellent verbal and written communication skills in English
Ability to guide the team and provide best practices as a DevOps Tech Lead, particularly around AI infrastructure and AI-augmented workflows

Benefits

Comp & perks

99.95% uptime SLO supported through on-call rotation