TL;DR

Sr. Software Engineering Manager (Big Data): Leading and managing a team to build and deliver cloud frameworks, infrastructure automation tools, and validation platforms on Google Cloud for %hirify_global% applications with an accent on large scale distributed systems, cloud service ownership, and AI integration. Focus on driving technical vision, cross-functional collaboration, and mentoring engineers while ensuring high reliability and scalability of cloud services.

Location: Washington - Seattle or Bellevue, United States

Company

%hirify_global% is a leading software company pioneering AI-driven CRM solutions integrated with Google Cloud Platform.

What you will do

Drive the vision and execution of enabling %hirify_global% applications on Google Cloud.
Manage and nurture a team of 5-10 engineers delivering cloud frameworks and automation tools.
Collaborate with cross-functional teams including architects and product owners.
Provide technical guidance, mentoring, and career development for team members.
Lead daily stand-ups and act as ScrumMaster for engineering teams.
Contribute to development tasks occasionally to maintain technical acumen.

Requirements

Location: Washington - Seattle or Bellevue, United States
Experience with Big Data technologies such as Spark and Hadoop.
Knowledge of Kubernetes, service mesh, and public cloud technologies.
Bachelor's or Master's degree in Computer Science or equivalent experience.
Proven leadership in software development projects and cloud service ownership.
Strong communication skills and experience with executive presentations.
Experience in agile and scrum development environments.
Strong software engineering best practices and programming skills.