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JobsAbnormal Security

Senior Software Engineer, Data Platform

Abnormal Security

Senior Software Engineer, Data Platform

Abnormal Security

Remote - Canada

·

Remote

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Generous paid time off and holidays

Flexible work arrangements

Professional development budget

Equity

Flexible Hours

Learning

Required Skills

Python

PostgreSQL

TypeScript

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, Elastic Search, Redis, Kafka

  • Excellent ability and strong desire to onboard and mentor other engineers.

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.

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About Abnormal Security

Abnormal Security

Software company.

201-500

Employees

Miami

Headquarters

$4B

Valuation

Reviews

4.2

16 reviews

Work Life Balance

4.0

Compensation

4.5

Culture

4.3

Career

4.5

Management

3.7

87%

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Pros

Competitive compensation packages with equity

Strong engineering culture with focus on code quality

Flexible remote work options and good work-life balance

Cons

Some legacy systems that need modernization

Internal politics in some teams

Organizational changes and restructuring can be disruptive

Salary Ranges

64 data points

Senior/L5

Senior/L5 · Senior Manager of Customer Success

1 reports

$202,412

total / year

Base

$176,010

Stock

-

Bonus

-

$202,412

$202,412

Interview Experience

1 interviews

Difficulty

1.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience