Senior Spark Software Engineer

Who You Are

Quantifind is seeking a Senior Software Engineer to work on Quantifind’s Apache Spark pipeline that generates risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more. You will help define and deliver data services and machine learning infrastructure. The Platform Team owns the backend that powers the SaaS products we build for our customers. We process terabytes of data each day on our own dedicated Apache Spark clusters.

You care deeply about your work and its impact on the work your team does. You hold yourself to a high standard when it comes to writing clean, performant, and maintainable code that powers well-designed microservices and enhances Quantifind’s distributed data platform. You work well with cross-functional teams that include Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers. You are constantly being proactive in finding new ways to improve the design, performance, and testing of the software that you build. You can effectively juggle immediate competing priorities while taking the long view to figure out how to build a bigger and better company and culture. You value the security of a company with a proven business model and enjoy the opportunities a startup offers.

Who We Are

Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.

Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.

To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.

What A Great Candidate Looks Like:

• BS or MS in Computer Science
• Professional software engineer for at least 6 years with a focus on platform engineering using Apache Spark
• Professional experience at a software startup strongly preferred
• Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, and Product Managers
• Solid understanding of concurrency and distributed systems
• Professional experience building software with Python and Scala and/or Java
• You can design and prototype scalable algorithms
• You can create your own efficient data structures and algorithms when the ones found in open source libraries are lacking
• Knowledge of Machine Learning techniques and understanding of algorithm complexity and performance implications
• Experience with Apache Spark, HDFS, and/or general MapReduce technologies
• Professional experience writing unit tests and automated integration tests
• Understanding of JVM internals and 4+ years of relevant experience working with code that runs in a JVM
• Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, Postgres, etc.)
• You can build microservices with REST APIs for real-time query engines and web crawlers
• You know how to set up ETL pipelines for data streams
• Professional experience working with Spark SQL
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

The Opportunity We Offer

As a Senior Software Engineer at Quantifind on our Platform Team in Atlanta, Georgia, or Washington, D.C., you will work on Quantifind’s Apache Spark batch infrastructure to generate risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more.

Quantifind’s development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.

A highlight of our benefits:

• Competitive salary
• Company Equity
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan
• A fun environment where work-life balance is valued

The base salary range for this full-time position is $175,000-195,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.

Will you join us? Apply now!