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Software Engineer (Backend)

Unit21

This is a Full-time position in San Francisco, CA posted January 3, 2022.

About the role

We’re looking for an experienced Backend Engineer to join our team at Unit21.

We ingest a high quantity of data (up to 2 million transactions/second) formed in unique patterns (for each customer) that need to accessed and analyzed in a performant manner.

The key problems we face on a day-to-day basis are performance, reliability, and flexibility at scale, and the ideal candidate will have experience with discovering and implementing practical, innovative solutions.

As a Backend Engineer, you would have the opportunity to work on a wide variety of projects.

You may work on a DSL to make creation of disparate detection-models performant and easy for non-technical users, set up and implement a new data store to enable pre-computation on the fly, or dig into the details of data ingestion to find ways to increase performance by sub-seconds.

Our engineering team is low process and high autonomy
– we emphasize product decision-making and prioritization by folks who own the work.

As a result, you’ll be expected to get familiar with how the product works, get into the mindset of the customer, and influence the decisions made regarding what you build.

Additionally, you’ll have a significant say in what you work on, and will be expected to prioritize the most meaningful work for the company.

Members of our engineering org are curious, humble, and focused on execution; if you embody these qualities and want to surrounded by like-minded people, this is the place for you.

What we’re looking for:

  • Experience in developing and owning end-to-end APIs, data-flows, and infrastructure for consumer or enterprise products
  • Proficiency in one or more object-oriented languages, such as Python, Java, Scala, C#, etc.
  • Proficiency in one or more RDBMS, such as PostgreSQL, MySQL, MSSQL, etc.
  • Familiarity with one or more NoSQL databases, such as MongoDB, Neo4j, Elasticsearch, Cassandra, etc
  • Proficiency with data modeling and performant data access strategies
  • Proficiency with API design and optimization
  • Experience in rotational on call schedule to support P0 issues
  • Hustle, curiosity, humility

Bonus Points 

  • Professional experience with some or all of our stack: PostgreSQL, Python, Elasticsearch, Snowflake, AWS, Terraform, React
  • Experience with making product decisions
  • Experience with autonomous, self-directed work
  • Strong communication skills
  • Bachelor’s/Master’s degree in Computer Science or related fields

What we can offer you:

  • Competitive salary and pre-IPO stock options
  • 100% company-paid medical, dental and vision insurance (for employee)
  • Optional HSA and FSA medical reimbursement accounts
  • Unlimited paid time off
  • Leave programs for life events
  • 401(k)
  • Great office space in the San Francisco Financial District
  • Fully stocked kitchen
  • Commuter benefits
  • Weekly meal stipend
  • Happy hours and team-building events
  • A great company culture with a strong emphasis on diversity, equity and inclusion

About Unit21

Unit21 protects businesses against adversaries engaging in money laundering, fraud, and other sophisticated risks by offering a no-code toolset to model, detect, and remediate suspicious activity.

Our customers range from large Fortune 500 companies to high-potential, pre-launch startups.

In 2020, customers uncovered over $80m in laundered money using our software.

We are an early-stage startup, well-funded by Google and other leading VCs, and growing rapidly.

Our team believes deeply in fostering individual ownership, iterative product development, and empathetic communication.

There are many challenging problems to solve in this industry, and a huge opportunity for our software to empower companies to define a new method of dealing with suspicious activity on their platforms.

We encourage people of all backgrounds to apply.

Unit21 is committed to creating an inclusive culture, and we celebrate diversity of all kinds.

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