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We are looking for a Senior Engineering Manager to lead building parts of our next generation Data and AI Platform & Products which will enable Red Hat modernize its business. You will interact with product managers, Red Hat Sales, Marketing, Finance teams and data teams to deliver a sophisticated data as-a-service platform . You'll coach and develop engineers as they build the Platform and other software to autonomously manage the environment, and guide problem management resolution (PMR) analysis when things go wrong. You’ll work in a fast-paced globally distributed team while quickly learning new skills and creating ways to consistently meet service-level agreements (SLAs) for our data products. This role requires a leader with a proven record of navigating the complexities of working across multiple organizations, helping define and gain consensus on strategy and direction, and aligning the team(s) toward those end goals.
What you will do
Enable engineering team to build and maintain the Data and AI Platform
Enable engineering team to foster and deliver in an inner-source manner
Hire, develop, and retain a team of engineers developing and operating Red Hat’s data-as-service platform
Coach engineers on software engineering principles
Manage high-visibility project delivery, including estimation, schedule, risks, and dependencies
Design processes and communication norms that facilitate coordination across a fast-moving, fast-growing, diverse global team
Lead your team through frequent changes in organization, process, and technology commensurate with a high growth cloud service in a competitive market
What you will bring
3 or more years experience managing engineering teams
Previous hands-on software engineering experience delivering data products, applications, or services on cloud native or hybrid platforms
Hands-on experience of Data Engineering (SQL, building data pipelines) would be a plus
Understanding of SaaS based Data Warehouse platforms like Snowflake, Data Bricks would be huge bonus
Experience with Agile methodologies and working in a DevOps culture with continuous integration / continuous deliveries
Ability to lead distributed, remote teams working across multiple time zones
Ability to discuss complex technical issues with software engineers, SREs, product managers, and less-technical stakeholders including customers and senior leaders
Experience hiring and developing new engineering managers
Experience with public cloud services like AWS, GCP, Azure is a plus
Working knowledge of Cloud Native technologies like Kubernetes is a plus
Working knowledge of developing or managing AI products or solutions would be a huge plus
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