Software Engineer, Abnormal Security
Data Platform
$148.8-175.1k
Cloud email security platform
Be an early applicant
Cloud email security platform
501-1000 employees
Be an early applicant
$148.8-175.1k
501-1000 employees
Company mission
To make the cloud a safer place for businesses.
Role
Who you are
- 3+ years of professional software engineering experience, with a focus on backend systems, distributed systems, or infrastructure
- A strong foundation in software development: clean, maintainable, and testable code
- Strong software engineering fundamentals, with an emphasis on taking engineering problems and solving them for long-term scale, reliability, and ease of use
- Strong experience with Python or Go, and hands-on expertise with AWS and/or Databricks
- Experience with one or more technologies in our stack: relational databases, RocksDB, OpenSearch/ElasticSearch, Redis, Kafka, Spark, Airflow, DBT, etc
- Excellent communication skills, with a proven ability to work effectively with remote and cross-functional teams
- A track record of owning and delivering technical projects with ambiguous requirements
- A growth mindset and a strong sense of ownership over your career development
What the job involves
- These AI-native, data-intensive SaaS applications depend on fast, reliable, and secure access to massive datasets
- That’s where the Data Platform team comes in: designing and operating scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), batch and stream processing (Kafka, Spark), orchestration (Airflow, DBT), and more
- We build and maintain the core infrastructure that powers Abnormal’s most data-heavy workloads, providing scalable, reliable, and efficient data platforms and services to all of engineering and data science
- We also create tools that make this infrastructure simple to operate and integrate, enabling teams to deliver faster with confidence
- We’re looking for a Software Engineer II to help us define and build the next generation of our data platform
- In this role, you’ll partner closely with experienced engineers, tackle ambitious technical projects, and play a key part in scaling the data platform that supports Abnormal’s rapid growth
- This is an opportunity to grow your skills, take ownership of important technical areas at Abnormal, and set yourself up for advancement into senior or technical leadership roles
- Design, build, and operate core components of Abnormal’s data platform
- Develop self-serve tools and services that empower internal teams to adopt and scale data systems with minimal operational overhead
- Automate infrastructure and operations to ensure reliability, performance, and scalability with minimal human intervention
- Apply cutting-edge GenAI techniques to build smarter developer and operator experiences
- Collaborate across engineering teams to identify and close scalability or reliability gaps in their systems, leveraging our platform capabilities
- Own the end-to-end delivery of complex features or systems that bring clear value to internal stakeholders
- You’ll be part of a high-impact team solving hard problems that matter
- You’ll work with smart, kind, and ambitious teammates who are passionate about excellence
- You’ll get real opportunities for ownership, autonomy, and career growth
- You’ll help define the future of our data platform at a rapidly growing company
Our take
Fraud involving impersonation is one of the top causes of online financial crime. Criminal tactics like email account spoofing, where the criminal impersonates an official account to steal personal information or money, are rife. Abnormal Security is a startup aimed at handling these hyper-targeted and personalized email attacks by analyzing communications and identifying potential fraud before it can take place.
The fraud detection space is extremely competitive but Abnormal Security differentiates itself through its focus on the threat of impersonation rather than a spectrum of threats. This has allowed it to amass a wealth of data relating specifically to high-risk impersonation attacks, analyzing over 45,000 signals to detect any anomalies.
Its specialized approach has fueled rapid growth, leading to a $4B valuation after a Serice C Funding round. Now, Abnormal plans to double down on product development and expand internationally, prioritizing markets where data security laws necessitate a local presence. By staying focused on impersonation, Abnormal Security positions itself as a formidable force in the fight against online financial crime.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2024
$250m
SERIES D
May 2022
$210m
SERIES C
Total funding: $534m
Company benefits
- Healthcare
- Flexible PTO
- 401k
- One Medical
- Flexible Spending Account
- Mental Health Resources
- Home Office Stipend
- Monthly Internet & Phone Stipend
- Health and Wellness Stipend
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Evan Reiser
(CEO)Having started their career as a Software Engineer, co-founded GamerNook.com, Bloomspot, and Adstack before spending 3 years at Twitter. Co-founded Abnormal Security in April 2018, and has been CEO since.
Sanjay Jeyakumar
(CTO)Previously Senior Software Engineer at Twitter and Google. Was also Software Architect at TellApart.
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