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Senior ML DevEx Engineer



Software Engineering, Data Science
Washington, DC, USA
Posted on Tuesday, May 23, 2023

At DNSFilter we have a singular mission: to challenge the way the industry thinks about security via DNS—and we need your help! We’ve come a long way over the past few years. In 2021 we had a successful $30 million Series A funding round, and in 2022 we became the fastest DNS security tool on the planet and joined forces with privacy-focused VPN Guardian! This year we’re continuing our product-fueled growth by adding new features to assist our customers with their DNS-layer security and broadening our solution to meet the needs of the global market.

Our Labs team is looking for a Senior ML DevEx Engineer who thrives on new challenges and who is truly passionate about cyber security. A highly qualified candidate will also have experience working with and processing large amounts of data with high availability and machine learning projects.

We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If you feel like this job is for you, please apply. We believe diversity of experience and skills, including transferable skills, combined with passion is a key to innovation and excellence; therefore we encourage people from all backgrounds to apply to our positions!

You Will:

  • Design, develop, and maintain end to end machine learning lifecycle including automated test development, CICD, deployment
  • Design, deploy and maintain databases/datastores, applications, and API integrations focused on Labs innovation projects
  • Apply knowledge of Python based web development frameworks and tools, including Flask.
  • Integrate between application components and AWS services including EC2, ECS, S3, Athena and DynamoDB.
  • Process large amounts of data with high availability for machine learning projects
  • Debug and troubleshoot issues
  • Provide technical guidance to other team members
  • Understand the current threat landscape and be able to prioritize work accordingly
  • Collaborate with various cross-functional teams, including but not limited to Customer Support, Engineering departments, and Product Management to incorporate and manage end-to-end threat intelligence projects into their work
  • 7+ years experience in DevOps or MLOps following CI/CD best practices (preferably using git)
  • 7+ years experience with Python, SQL
  • Experience in AWS cloud platform (DynamoDB, S3, EC2, SNS, RDS, etc)
  • Strong written and verbal communication skills
  • Ability to work in a mostly EST environment

Bonus points for

  • Cyber Security experience
  • Innovation Lab experience
  • A 100% work-from-home position with a company that values and fosters personal and professional growth
  • Pathway to promotion to additional organizational positions and responsibilities based upon results and performance - not just time in the chair. You help us grow, we will help you grow.
  • Passionate and intelligent colleagues who work hard and have a good time doing it
  • Rotating 4-Day work week
  • Paid company-wide week off at the end of each year
  • Flexible Vacation policy
  • Awesome company swag
  • Home office buildout allowance
  • Full medical, dental, and vision benefits for US and Canada based employees
  • Full short-term disability and life benefits; available long-term disability
  • 401k with vested company matching for qualifying employees
  • In-person annual gatherings. Last time we all spent a week on a beach in Cancun!

The hiring range for this role is: $139,000 - $164,000 USD Annually

DNSFilter is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The hiring base pay is dependent upon many factors such as level, function, training, transferable skills, work experience, business needs, and/or geographic location. As a fully remote company, our compensation reflects the cost of labor across several U.S. and global geographic markets. We pay differently based on those defined markets. Our Talent Team can share more about the specific salary range for the job location during the hiring process.