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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 90,000 משרות • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
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כבר העליתם קו"ח בעבר? כניסה
מלאה
22,000-32,000 ₪
Required DevOps Engineer AI Testing Infrastructure
Job Summary
As a DevOps Engineer at the AI Testing & Workflow Validation team, you will design, test, and maintain the systems and pipelines that support AI-driven workflows. Youll ensure prompt-powered features are deployed, monitored, and validated reliably at scale across multiple environments. This role blends expertise in prompt engineering with deep knowledge of infrastructure automation, CI/CD, and system observability.
We are seeking highly experienced professionals with at least 7 years of hands-on expertise in the areas described.
What you will do:
Develop and maintain CI/CD pipelines for prompt-driven workflows and AI-generated code validation.
Create infrastructure-as-code and automation scripts (e.g., Terraform, Ansible) to provision, configure, and monitor validation environments.
Build tools and frameworks for continuous prompt testing, performance tracking, and failure analysis.
Implement observability and alerting for prompt workflows, capturing metrics such as latency, accuracy, and error rates.
Integrate security and compliance checks into the prompt development lifecycle, especially for generated code execution.
Collaborate with engineering, QA, and platform teams to ensure prompt workflows are seamlessly integrated into existing systems.
Job Summary
As a DevOps Engineer at the AI Testing & Workflow Validation team, you will design, test, and maintain the systems and pipelines that support AI-driven workflows. Youll ensure prompt-powered features are deployed, monitored, and validated reliably at scale across multiple environments. This role blends expertise in prompt engineering with deep knowledge of infrastructure automation, CI/CD, and system observability.
We are seeking highly experienced professionals with at least 7 years of hands-on expertise in the areas described.
What you will do:
Develop and maintain CI/CD pipelines for prompt-driven workflows and AI-generated code validation.
Create infrastructure-as-code and automation scripts (e.g., Terraform, Ansible) to provision, configure, and monitor validation environments.
Build tools and frameworks for continuous prompt testing, performance tracking, and failure analysis.
Implement observability and alerting for prompt workflows, capturing metrics such as latency, accuracy, and error rates.
Integrate security and compliance checks into the prompt development lifecycle, especially for generated code execution.
Collaborate with engineering, QA, and platform teams to ensure prompt workflows are seamlessly integrated into existing systems.
Requirements:
Bachelors degree in Computer Science, Software Engineering, or related field, or equivalent experience.
Hands-on experience with DevOps tools and practices, including CI/CD systems (Jenkins, GitLab CI), container orchestration (Kubernetes), and infrastructure-as-code.
Proficiency in scripting languages such as Python or Bash.
Strong understanding of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments.
Experience with system monitoring, logging, and performance tuning.
Excellent analytical and troubleshooting skills in complex, distributed environments.
Nice-to-Have:
Experience deploying or managing machine learning models in production environments.
Familiarity with prompt-engineering principles and AI workflow validation.
Knowledge of security scanning, compliance automation, and canary or A/B testing for AI systems.
Bachelors degree in Computer Science, Software Engineering, or related field, or equivalent experience.
Hands-on experience with DevOps tools and practices, including CI/CD systems (Jenkins, GitLab CI), container orchestration (Kubernetes), and infrastructure-as-code.
Proficiency in scripting languages such as Python or Bash.
Strong understanding of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments.
Experience with system monitoring, logging, and performance tuning.
Excellent analytical and troubleshooting skills in complex, distributed environments.
Nice-to-Have:
Experience deploying or managing machine learning models in production environments.
Familiarity with prompt-engineering principles and AI workflow validation.
Knowledge of security scanning, compliance automation, and canary or A/B testing for AI systems.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 90,000 משרות • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
DOCX, DOC, PDF - בעברית או באנגלית
כבר העליתם קו"ח בעבר? כניסה
תל אביב - יפו
ערב
8 חודשים
תעודה ממשלתית
סבסוד
באר שבע
