What are the responsibilities and job description for the Lead Engineer position at Pattern AI?
Company Description
PatternAI is an automated ML/AI platform that reveals critical patterns in data for narrow business problems that impact virtually every company in the world– such as automating customer segmentation, automated predictive analytics, conversational intelligence, and more.
Our mission is to build the world’s most trusted intelligent machine in the cloud for business– a single automated ML/AI platform that can ingest data from any source and reveal deep patterns and insights– in short, a cloud robot that can do extraordinary things for business users. We’ve built an early version of this cloud machine today, which we call PatternAI, and we’re just getting started.
We’re looking for the best and brightest teammates to help us accelerate that vision.
Job Description
For this role, we’re looking for a Head of Engineering to help lead the rapid development and growth of PatternAI's automated ML/AI platform across 3 interoperating areas: software engineering, data engineering, and data science.
You will collaborate closely with a talented team of engineers, data scientists, data engineers, and customer-facing stakeholders (sales, marketing, CS, etc.) to develop innovative solutions that balance the power of ML and an easy-to-use interface. We love candidates who can understand and take ownership of complex problems, make quick decisions, lead and mentor their team, and who are passionate about helping others perform at their best.
Collaborate with Product and Data Science teams throughout the software development lifecycle to ensure that we incorporate the principles of building cloud-based systems that are scalable, automated, distributed, and fault-tolerant
Actively work on creating cloud infrastructure to support scaling up systems, removing manual processes, and increasing the speed of product development
Perform production readiness checks for new services and features by advising on design reviews, capacity management, system monitoring, etc.
For team buildout, own the hiring plan and collaborate on recruiting, developing, and retaining exceptional people
Roll up your sleeves and be tactical: co-develop product roadmap and development timelines; deep dive on code reviews; identify best-practices and approaches to systems, etc.
Qualifications
To thrive in this role, you have deep technical expertise and knowledge:
B.S. in Computer Science, Computer Engineering or formal degree in related field
5 years experience as an individual contributor on an engineering team
3 years of experience with data infrastructure and cloud applications
Experience deploying applications / tools into production environments
Extensive experience with AWS (EC2, ECS, S3, lambda, etc.)
Familiar with configuration management technologies (TerraForm, Ansible, Chef, Puppet, CloudFormation, etc.)
Comfortable writing scripts (Bash, Python, Go, Ruby, etc.)
Understanding of infrastructure security
Extra Credit
MS in Computer Science, Computer Engineering or a related field
Experience working with remote teams across multiple locations
Experience with Kubernetes and Docker
CI tools (Jenkins, Circle CI, etc)
Additional Information
All your information will be kept confidential according to EEO guidelines.
