Engineering Technician III responsible for highway construction material quality assurance. Overseeing testing and inspections to ensure compliance with industry standards and specifications.
About the role
- Director of Engineering overseeing engineering infrastructure at Adobe. Leading teams, embedding AI in processes, and scaling to millions of users in a collaborative environment.
Responsibilities
- Provide strategic direction and execution for Production delivery, Developer Tools, Observability and associated engineering environments.
- Embed AI into every facet of the engineering lifecycle, from internal solutions to vendor integrations to elevate efficiency and customer experience.
- Scale platforms to support millions of users and dozens of tenants, ensuring performance and reliability at enterprise scale.
- Lead and grow a distributed engineering organization of 50+ professionals.
- Define and implement the strategy for building a self-service, enterprise-scale reliability platform.
- Foster a culture of collaboration, experimentation, and rapid iteration across product, engineering, and marketing teams, enabling fast prototyping and innovation with a “fail forward” approach.
- Establish and enforce standards around frameworks, technologies, and processes to ensure consistency and simplicity across services.
- Define, measure, and continuously improve engineering productivity by setting benchmark critical metrics and SLAs, demonstrating data-driven insights for optimization.
Requirements
- Demonstrated use of AI/ML to enhance engineering productivity and organizational efficiency.
- Proven leadership in high-growth environments, with experience running enterprise-scale services across private and public cloud platforms.
- A strong track record of leading large, geo-distributed engineering organizations.
- Expertise in designing and managing complex development frameworks, deployment tools, test environments, and automation systems.
- Experience building or demonstrating A/B testing infrastructure and applying SRE operating models.
- Deep technical expertise with at least one major public cloud (Azure, AWS) and open-source technologies such as Kubernetes, Istio, Prometheus, Elasticsearch, Kafka, and Spark.
- Strong understanding of deployment systems, CI/CD pipelines, and system configuration.
- Experience delivering integrated end-to-end systems, including source control, build tools, artifact repositories, deployment, and monitoring.
- Proficiency in performance engineering and load testing at scale.
- Ability to define and manage SLAs for production-scale systems, ensuring reliability and data quality across platforms.
- Proven success in delivering high-impact dashboards, datasets, and visualizations to drive business and product decisions.
Benefits
- Competitive salary
- Health insurance
- Retirement plans
- Professional development
- Flexible work arrangements
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