Lead Engineer

Key Skills

API, Bash scripting, Database, Docker, Git, Kubernetes-K8s, Puppet, Python Programming, SQL, Terraform

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.