Title: Senior Software Engineer

Pay: $140K-165K per year

Reports to: Director of Engineering

The Opportunity:​

• Design, architect, and develop software to provide new features, reduce costs, improve performance, or increase scale.

• Answer technical questions and troubleshoot problems to enable our customer’s success.

• Leverage state of the art technology to build our platform including: GoLang, ElasticSearch, event driven architecture, GCP, Snowflake, and Svelte.

• Mentor less experienced engineers, participate in code reviews, and collaborate on patterns, practices, and standards.

• Lead technical onboarding for new customers including technical discovery for integrations with new systems, delivering ETL (and reverse ETL) pipelines based on customer’s goals and directions, and backfilling data from their existing systems.

• Participate in QA testing  your changes and UAT testing for other dev’s changes during the main release.

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Requirements​:

• 5+ years of Technical/Engineering experience in a Software Development organization and a Bachelor’s Degree in Computer Science, or related field. Alternatively, 7+ years relevant experience

• 3+ years of experience in a server side language such as GoLang, C#, Java, Ruby, Python, etc.

• Strong communications skills and the ability to work with both technical and non-technical stakeholders

• U.S. based, able to work during core common hours, 9:00 am ET - 1:00 PM ET 

• Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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It Would Be Great if You Also Had:​

• Comfort working directly with clients

• Experience with GoLang / JavaScript / Svelte / Elasticsearch

• Experience contributing to data and ML products

• New product development or consulting background

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Who We Are​:​

Hum is a startup company moving rapidly towards profitability. We provide a Customer Data Platform built to help content rich organizations understand their customers through the lens of their content. Our customers range from academic publishers to media companies and news organizations.

Under the covers, we’re a data and AI company. Our service processes tens of millions of data points each day to provide customers with both high level analytics and deep personalization/segmentation. We do this with a combination of scalable, performant software and cutting edge AI technology.
Hum was using transformers to enable production use-cases over a year before ChatGPT broke the Internet.
 

Our Alchemist AI product offers our customers many first of it's kind features, not available from competitors.  

What Hum has to offer​:​

• Flexible schedule: We protect the hours of 9am - 1pm eastern for meetings and collaboration. Otherwise your schedule is yours to make.

• Fully remote with a Technology Stipend in your first paycheck to support your hardware and home office set up.

• Take the time off all the time you need with our Responsible PTO policy

• Generous packages for family leave.

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About the Hiring Manager:​

Dylan DiGioia has spent 10 years working in technology across various companies, projects, and roles. He has spent time in factories and warehouses building automation systems, many long nights securing networks against cyber threats, several months managing an internal coding boot camp, and most recently has been focused on improving customer experiences using data (first for ecommerce and now for associations & publishers). He’s coached, managed, and mentored dozens of engineers and says “seeing the people from my team grow into leaders in their own right has been the most rewarding experience of my career.” As an engineer, he prioritizes speed, experimentation, and working iteratively with the philosophy of “never wait on perfection when you can make something better today."

Dylan spends time hiking with his fiancée and dog, cooking, making mead, and pursuing perfect at home coffee bliss. He’s one of a few coffee experts here at Hum and is always eager to chat about roasting coffee beans or how to choose the right brew style for your morning routine.