Manager – Devops – PaaS and Kubernetes emphasis

Manager – Devops – PaaS and Kubernetes emphasis

Requirements

• Experienced with high scale data platforms (understands designs of distributed systems, experience with high throughput systems, implications of automated delivery and support for high complexity systems at scale, etc.)
• Hands-on experience working with Kubernetes on-prem or with cloud hosted solutions.
• Successfully built a team, defined its mission, and executed on its goals.
• Good at giving and receiving feedback and providing coaching to the team.
• Understand multiple Agile processes and apply them appropriately to help the team. (not just focused on Scrum or Kanban or something else)
• Have experience with bleeding-edge data platform capabilities.
• You understand that DevOps is a culture and way of thinking.
• You are a servant leader – you understand that you are here to serve the team and make them successful.
• You reason from first principles and evaluate options rigorously.
• You lead by example.
• You are open, transparent, and work in tight collaboration with anyone.
• You are naturally curious and passionate about learning and growing your skillset.
• You have the ability, and more importantly, the passion to teach, coach, and mentor individuals and contribute frequently to educate the greater community.
• You have both breadth and depth of software engineering expertise.
• You have excellent verbal and written language skills, especially when talking about code and systems.
• You are comfortable communicating in a decentralized work environment and across organizations.

Responsibilities

• Work with engineering, product management, executive stakeholders, and your team to define and deliver plans that improve platform stability, manage costs, and meet customer SLOs.
• Understand organizational strategy and goals and help the team understand decision criteria so they can make prioritization decisions for their sprints and day to day work.
• Use your experience to help the team with critical architectural and delivery decisions.
• Guide the team in transitioning to Infrastructure as a Service from traditional cloud ops techniques.
• Accelerate Product development for Engineering and Research teams by simplifying and reducing friction points in the software development lifecycle.
• Define key performance indicators (KPIs) and metrics to measure the effectiveness and impact of the Media infrastructure and supporting FraudSensor and Mediaguard.
• Hire and develop technical talent.
• Foster a culture consistent with our brand, organizational values, user/customer focus, and passion for the web.

Preferred Qualifications

• Understanding of machine learning techniques and models, and have a cybersecurity or Adtech background.