Who we are:

Revelio Labs provides workforce intelligence. We absorb and standardize hundreds of millions of public employment records to create the world’s first universal HR database, allowing us to see current workforce composition and trends of any company. Our customers include investors, corporate strategists, HR teams, and governments.

What we’re looking for:

Revelio Labs is looking for a cloud infrastructure engineer who’s also excited to contribute to the code base. The ideal candidate will have a combination of infrastructure and systems engineering experience, and will be excited about putting a variety of skills to use.

We’re looking for someone with an inherent knack for automation, who can transform services with no automation into services that require no manual intervention. You will upgrade our cloud infrastructure to make our core services more scalable, resilient, and distributed, optimize cloud costs and improve security to reduce risk as we scale, modify backend services and APIs to migrate to new infrastructure, and reduce the operational work needed to support services as their usage increases.

Experience and Skills:

• Cloud computing (AWS)
• Docker/kubernetes (EKS preferred)
• Python
• Bash
• Orchestration tools (e.g. Airflow)
• GO

Location:

Our offices are based in New York City, but the position can be done remotely.

Salary:

The pay range for this position in New York City is $120,000 - $180,000 per year. The salary range for performing this role outside of New York City may differ. Base pay offered may vary depending on job-related knowledge, skills, and experience. Additionally, you may be eligible to participate in our company’s equity program, plus benefits, including medical, dental, vision, retirement, and other. The range above is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be more senior or have different experience than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.

Why you should work with us:

We are working on some of the most challenging and cutting-edge data science problems. You will work with a team of PhD data scientists with advanced domain expertise. Our startup is small and growing quickly, with enormous potential for growth.

How you should reach us:

Please email your resume to [email protected] as a PDF file. Please include your GitHub and highlight any projects that you’ve worked on that may be relevant.