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Director of Production Engineering

Confidentialמחוז תל אביב, ישראללא צויןFull-timeדרגה: לא צוין

פורסם אתמול · 58 מועמדים

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תובנת Willbi
חובה
  • 10+ years of engineering experience
  • 4+ years in a Director or senior engineering leadership role, managing managers and team leads in a high-growth SaaS environment
  • Experience owning both a central DevOps/platform-engineering function and a 24/7 operations or NOC function, including incident management and escalation protocols
  • Public cloud expertise (primarily AWS)
  • Container orchestration at scale (such as Kubernetes)
יתרון
  • Workflow automation platforms and engineering ownership tooling
  • Exposure to SecOps and compliance programs (such as SOC 2, ISO 27001)
  • Feature flagging and large-scale platform migration projects
  • Modern analytical data platforms (such as Snowflake, ClickHouse, BigQuery)
  • Autonomous agent frameworks and agentic AI tooling

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About the Company:

We are a leading global technology company that leverages advanced AI and machine learning to deliver intelligent, data-driven solutions.

The Role:

As the Director of Production Engineering, you will be a key leader within our Infrastructure Engineering Organization. This is a leadership role with a hands-on technical scope and significant organizational impact. You will own the reliability, velocity, and cost efficiency of our engineering infrastructure.

You will partner closely with R&D leadership to ensure our production systems are resilient, developer-friendly, and continuously improving, while directly managing multiple distributed engineering groups focused on platform engineering, automation, and cloud operations.

Responsibilities:

• Own the platform engineering roadmap and internal developer platform, including cluster operations, environment provisioning, and establishing architecture standards for reliability, observability, and deployment tooling.

• Lead major infrastructure modernization, upgrade, and migration programs, partnering closely with the Security team on compliance requirements, secrets management, and overall cloud security posture.

• Own the health, uptime, and SLAs of production and pre-production environments, overseeing 24/7 monitoring capabilities, incident response, severity classification, and post-incident reviews.

• Champion the adoption of AI and automation tooling across engineering and operations, overseeing the rollout of internal AI gateways and driving AI-assisted workflows and intelligent alerting.

• Focus on optimizing the developer experience and reducing toil by stabilizing CI/CD pipelines, improving local and lab environments, and tracking productivity metrics to accelerate deployment frequency.

• Build, mentor, and grow a high-performing distributed organization of engineers and managers, setting direction, managing quarterly planning, and defining OKRs aligned with company-wide priorities.

• Define and execute a FinOps strategy to manage compute, storage, and networking costs, embedding cost-awareness into the development lifecycle and driving saving initiatives.

Requirements:

• 10+ years of engineering experience, with 4+ years in a Director or senior engineering leadership role. Proven track record of managing managers and team leads in a high-growth SaaS environment.

• Experience owning both a central DevOps/platform-engineering function and a 24/7 operations or NOC function, including incident management and escalation protocols.

• Deep technical background in DevOps and infrastructure engineering, with strong public cloud expertise (primarily AWS).

• Comprehensive experience with container orchestration at scale (such as Kubernetes) and proficiency with Infrastructure-as-Code (such as Terraform or Pulumi).

• Hands-on familiarity with CI/CD systems and build reliability at scale, alongside experience with data platform operations and relational databases.

• Fluent in FinOps principles and cloud cost governance. Solid understanding of Linux, networking, and security fundamentals, with a demonstrated ability to integrate AI/GenAI tooling into engineering workflows.

Advantages:

• Familiarity with workflow automation platforms and engineering ownership tooling.

• Background in or exposure to SecOps and compliance programs (such as SOC 2, ISO 27001, etc.).

• Experience with feature flagging and large-scale platform migration projects.

• Familiarity with modern analytical data platforms (such as Snowflake, ClickHouse, BigQuery).

• Exposure to autonomous agent frameworks and agentic AI tooling.

אודות Confidential
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דומות וקשורות
Confidential
פורסם אתמול · 58 מועמדים
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