About the Job
Data and AI team is looking for a Engineering Manager to lead the Platform practice for the next generation SaaS based data and AI products. You will interact with product managers, Red Hat Sales, Marketing, Finance teams and data platform and product engineers to deliver a sophisticated data as-a-service platform. You'll coach and develop software engineers as they build the Platform, Infrastructure-as-code components, platform observability, agentic AI capabilities 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
Support engineering team to foster and deliver in an inner-source manner
Develop, and retain a team of engineers developing and operating Red Hat’s data-as-service platform
Coach engineers on good engineering principles: writing good code, automation, observability, toil reduction, and root cause analysis
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
Participate in a periodic 24x7 management escalation on-call rotation
What you will bring
10-12 years of hands on developing and maintaining software.
5+ years experience managing high performing engineering teams
Previous software engineering experience delivering data products, applications, or services on cloud native or hybrid platforms
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 engineers, product managers, and less-technical stakeholders including customers and senior leaders
Understand and collaborate with compliance teams to make sure Platform and Products are compliant as per regulation.
Experience hiring and developing engineers
Experience in communication with stakeholder and leadership
The following are considered a plus:
Experience with platforms like Kuberentes/OpenShift and Kubernetes Operators, Prometheus, Graphana etc
Experience with Go and Python for developing scaling backend software.
Experience with building full stack applications
Knowledge of SaaS technologies like Snowflake, Fivetran, Astro etc.
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