Senior Software Engineer - Platform & Infrastructure (Data Platform)

Reposted 16 Days Ago
Hiring Remotely in USA
Remote
176K-207K Annually
Senior level
Security • Cybersecurity
The Role
The Senior Software Engineer will define and deliver data platform offerings, build tooling for storage systems, and work cross-functionally to improve scalability in data systems.
Summary Generated by Built In
About the Role

Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime. These products are data intensive SaaS applications that depend on reliable, scalable, and secure access to data. This is where our Data Platform team fits in, offering scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), as well as building services and tools to improve their operational excellence, and offering expertise to engineering and data science teams around usage of these systems at high scale.

The Data Platform team is looking to add a Senior Software Engineer. The individual in this role will have the opportunity to partner closely with our existing world class team of engineers as we define and build the next generation data platform, and execute on ambitious and challenging technical projects to deliver value to Abnormal and its customers.

There are a lot of opportunities for growth and career advancement – including growing into a Staff technical leadership role. 

What you will do
  • Define and deliver our data platform offerings across AWS to empower and delight our internal engineering and data science customers.
  • Build tooling and services for our online storage platforms that will deliver self-serve capabilities for the team’s stakeholders.
  • Work cross functionally with other engineering teams to identify scalability gaps in their data intensive systems, owning key areas from our charter, building and executing on plans to mitigate them.
Must Haves
  • 6+ years of experience working on data-intensive applications and distributed systems.
  • Strong background in building platforms, tools, and systems to serve the needs of engineering teams, empowering them to ship with velocity and reliability.
  • Depth in one or more types of online data storage systems (relational, key-value, document-oriented, or columnar databases) either as an expertise provider or as a power user, in a high scale environment.
  • Proven track record of being a change agent, defining and driving engineering initiatives that involve cross-team collaboration
  • Expertise in one or more key areas of the Data Platform online storage tech stack - relational DBs, RocksDB, ElasticSearch, Redis, Kafka
  • Excellent ability and strong desire to onboard and mentor other engineers.

At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. 

Base salary range:
$176,000$207,000 USD

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Top Skills

AWS
DynamoDB
Kafka
Opensearch
Postgres
Redis
Rocksdb
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The Company
San Francisco, CA
175 Employees
Year Founded: 2018

What We Do

The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.

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