Who We Are:

Komodo Health is addressing the global burden of disease through the development of the world’s most actionable map of healthcare data. Our solutions drive a more transparent, efficient and productive healthcare ecosystem through the creation of quantitative solutions to qualitative problems.

As a fast growing startup that has already partnered with multiple Fortune 500 companies, we have very ambitious goals that have been designed with career development in mind. As a company, we value our culture of encouraging growth, collaboration, and constructive debate as well as delivering innovative solutions that “wow” our customers. 

The Opportunity at Komodo Health:

You will be a member of our Infrastructure Team. You will have the opportunity to use the latest and greatest tools to make sure the the data infrastructure is robust and scalable.

As one of the members of this business-critical team, you will: 

• Optimize Spark Infrastructure 
• Building out big tooling to interact with Big Data infra
• Evaluate data technologies, such as:
  • Delta lake (Data Lake) 
  • Apache Presto (SQL Query Engine)

What You Bring to Komodo:

• You possess a sense of curiosity and the ability to think thoroughly about problems and develop robust solutions.
• You’re passionate about about big data technologies and architecting scalable infrastructure.
• You’re able to communicate effectively, work cross-functionally and provide technical leadership
• You have a demonstrated track record of success and engineering excellence
• You possess a strong DevOps and partnership mindset
• You’re humble, respectful, and appreciate the diversity within our Engineering organization

After 3 months, you will:

• Obtain certifications (AWS, Spark, etc) 
• Get familiar with our tools and infra and contribute (Spark Optimization)
• Improve logging and monitoring on Spark and Airflow Clusters 

Responsibilities:

• Work with senior engineers to help architect and implement infrastructure platforms
• Develop internal tooling to interact with our infrastructure
• Automate infrastructure with languages and tools such as Helm, Terraform, Packer, CloudFormation, Python, and Bash
• Work deeply with AWS compute, storage, and analytics services
• Build and maintain Docker images used by our Kubernetes and Spark clusters
• Collaborate with our data scientists and data engineers to understand their use cases, needs, and pain points and translate that into infrastructure that accelerates them
• Select the key tools and systems that will be used to build out the infrastructure
• Setup monitoring, logging, and alerting on our big data systems
• Respond to and troubleshoot issues and incidents with Kubernetes and Spark
• Willingness to participate in on-call rotation

 Qualifications:

• B.S. in Computer Science, Software Engineering, or equivalent experience
• 1+ year of experience with big data technologies such as Spark
• 1+ year of Docker, Kubernetes, and container management
• 1+ years of working with cloud infrastructure, especially AWS
• You have excellent programming skills in Python, C++, or other programming languages
• Self-motivation to learn about the big data ecosystem

Nice-to-Haves:

• You have experience working in a regulated environment especially HIPAA and healthcare data
• You have experience building machine learning production systems at scale
• You have experience with Elastic Map Reduce and AWS Glue
• AWS certifications

Benefits:

• Competitive salary
• Performance bonuses
• Unlimited PTO
• Equity
• 401K Plan
• Wellness Stipend
• Your choice of equipment
• Comprehensive Vision, Medical, and Dental insurance
• Pre-tax commuter benefits
• Community involvement through our philanthropy group, Komodo Cares
• Awesome office locations in San Francisco (SoMa) or New York City (Flatiron)
• The opportunity to help scale a team and company and work with smart people

At Komodo Health, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Komodo Health is proud to be an equal opportunity workplace.