Senior Data Software Engineer vacancy at Interos

Interos, founded by Jennifer Bisceglie, is one of the most transformative technologically advanced platforms that powers the global economy supply chain. By using ML and big data, Interos aspires to dynamically and continuously map all of a company’s business relationships to multiple tiers of dependency on a global scale and endeavors to help customers understand risk in their multi-tier, global supply chains. The scope of this value proposition extends across a variety of different technology sectors including risk management, supply chain intelligence, financial intelligence and cyber-security. Interos has raised $26M in total funding from Venrock, led by Nick Beim, and Kleiner Perkins, led by Ted Schlein. We have 70+ employees and are poised to double in size by end of 2020. Our offices are headquartered in Arlington, VA and we have presence in Menlo Park, CA.

General overview of the role

You want to solve problems you can’t just Google answers for. You want to deal with real big data in real products that real people. You want exposure to cutting edge tech including real machine learning at scale, graph databases, and predictive modeling. And you want it all in a high-growth startup.

Join the close-knit engineer team at Interos that conceptualizes and develops our industry-leading data-driven Interos Knowledge Graph. Hone your skills in an agile, test-driven environment and have a measurable impact on a well-established rapidly expanding business.

At Interos, Senior Data Software Engineers have a deep understanding of Data Modeling, Python fundamentals and architecture. They consistently deliver large features that provide significant value to our customers. Senior Engineers regularly review large sections of our product, making sure things don't ‘fall through the cracks’. They collaborate well with others, seek input from teammates, and provide detailed code reviews.

Responsibilities

Assume responsibility for key parts of the Interos Knowledge Graph architecture.

Translate Data Science experimental code into tested, production ready modules

Create connectors for ingesting data from third party databases, APIs, and web sites

Optimize data structures, improve code execution, and reduce memory consumption of existing implementation

Develop JSON APIs

Requirements

7+ years of experience in Software Development

3+ years of full-time professional Python experience including production experience with data pipelines

A seasoned engineer who enjoys sharing your experience with the team.

Passionate about writing code that is scalable, maintainable, reusable, and well-tested

Interested in building reliable, fault-tolerant, production-grade systems

Feel comfortable debugging large applications and refactoring them to well-tested components and services

Have experience designing, implementing, and maintaining APIs as a service for your team and customers

Comfortable interacting with a range of audiences (technical and business stakeholders)

Have experience in an agile environment

Enjoy optimizing complex data models for comprehension and performance

Bachelor’s degree in Computer Science or closely related field or a foreign equivalent

Perks & Benefits

Comprehensive Health & Wellness package (Medical, Dental and Vision)

10 Paid Holiday Days Off

Accrued Paid Time Off (PTO)

401(k) Employer Matching

Stock Options

Career advancement opportunities

Casual Dress

Hackathons

On-site gym and dedicated Peloton room at headquarters

Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours)

Annual company party

Employee Referral Program