Senior Backend Engineer

Senior Backend Engineer

We put subject matter experts in control of data analysis and remove dependency on technical personnel. Financial, brand, and public sector analysts use Minsky® (our ML/NLP platform) to get unique, actionable insights out of Internet-scale volumes of unstructured data - in mere hours, and without writing code.

Our customers include financial, healthcare, and public institutions. Founded by two MIT PhDs, dMetrics includes some of the world's top authorities in machine learning and natural language processing, with 10,000+ citations of our team's work in the academic press.

Job Description

You are interested in large-scale content aggregation, data processing, and storage.

We expect you to work closely with others and provide leadership, code discipline, and project design by example. You are extremely driven and want to assume ownership over an important part of our technology to build a solid product stack. You will use your expert Java skills to design and build high load web applications and service-oriented systems for collecting, storing, processing, searching, and visualizing very large volumes of unstructured text. In doing so, you will solve a wide variety of engineering challenges, ranging from data flow, to storage, to aggregation, to supporting APIs / presentation layer / data pipelines / web apps. You have experience developing in OSX and/or Linux.

You are comfortable with change. You've had positive experience working for a startup before. US Citizens or Green Card holders only.

Qualifications

• Java (5+ yr)
• Spring MVC (5+ yr)
• NoSQL & relational DBs (3+ yr)
• ElasticSearch or ClickHouse
• Redis
• Spark
• AWS

Additional Information

Responsibilities:

• Implement multi-tier scalable SaaS architectures
• Design and consume RESTful web service APIs via microservices
• Debug and troubleshoot existing codebase
• Deploy to and manage apps in the cloud
• Bonus - hands-on experience with:
• NodeJS, Python, Scala
• ML, NLP, statistics
• Bash/unix tools, security, caching
• Familiarity w/security patterns' best practices