Senior Manager, Software Engineering(DevOps) @ Tableau Software

We are looking for Engineering leaders to help us take us to the next level, and build an infrastructure platform that can host and scale to hundreds of thousands of customers, and hundreds of billions of predictions per day and works on bleeding edge technologies on model training, model inferencing and Generative AI.

Responsibilities:

Drive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners and engineers
Make critical decisions that attribute to the success of the product
Proactive in foreseeing issues and resolve it before it happens
Daily management of standups as the ScrumMaster for engineering teams
Partner with the program team to align with objectives, priorities , tradeoffs and risk
Ensuring the team has clear priorities and adequate resources
Empowering the delivery team to self organize
Be a multiplier and have a passion for team and team members success
Providing technical guidance, career development, and mentoring to team members
Maintaining high morale and motivating the delivery team to go above and beyond
Vocally advocating for technical excellence and helping the teams make good decisions
Participating in architecture discussions and planning
Participating in cross-functional coordination, planning, and reviews with leads from other engineering teams
Maintaining and fostering our culture by interviewing and hiring only the most qualified individuals
Be passionate about automation and to avoid doing things manually
Occasionally contributing to development tasks such as scripting and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp

Required Skills:

Masters / Bachelors degree required in Computer Science, Software Engineering, or equivalent experience
5+ years experience leading software, DevOps or system engineering teams with a distinguished track record on technically demanding projects
Strong verbal and written communication skills, organizational and time management skills
Ability to be nimble, proactive, comfortable working with minimal specifications
Experience in hiring, mentoring and managing engineers
Championing a culture and work environment that promotes diversity and inclusion.
Working experience of software engineering best practices including coding standards, code reviews, CI, build processes, testing, and operations
Experience with AI technology stack like sagemaker, bedrock or similar other LLMs hosting.
Experience with Agile development methodologies. ScrumMaster experience required
Experience in communicating with users, other technical teams, and product management to understand requirements, describe product features, and technical designs
Prior experience in any of the following languages: Go, Python, Ruby, Java
Experience working with source control, continuous integration, and testing pipelines
Experience building large scale distributed, fault-tolerant systems
Experience with container orchestration systems such as Kubernetes, Docker, Helios, Fleet
Public cloud engineering on AWS (Amazon Web Services), GCP (Google Cloud Platform), or Azure platforms
Experience in configuration management technologies such as Chef, Puppet, Ansible, Terraform

Preferred Skills:

Masters Degree in Computer Science
Experience with building large scale Search cluster using a technology like Elastic Search
Understanding of fundamental network technologies like DNS, Load Balancing, SSL, TCP/IP, SQL, HTTP
Understand cloud security and best practices

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