Abnormal protects organizations from cyber threats across email, identity, collaboration, and cloud applications. The Abnormal Data Platform (ADP) provides the data foundations that power detection and customer-facing products. Within ADP, the DIP Ingestion team builds the integrations and runtime systems that bring data from these platforms into Abnormal. Reliable, timely data is the foundation for the products and detection systems our customers depend on.
We’re looking for a Software Engineer II to build and operate backend services and ingestion pipelines at scale. You’ll own complex features from a defined product or platform need through design, implementation, launch, and production support. Your work may span new source integrations, improvements to our ingestion framework, snapshot ingestion, and the reliability and freshness of data flowing to downstream teams. You’ll have room to grow your technical judgment while working closely with experienced engineers and product partners.
What you’ll do- Build and improve secure, scalable integrations that collect data from third-party APIs and deliver it reliably to Abnormal’s downstream systems.
- Own complex, well-scoped features end to end: clarify requirements, propose an approach, break work into milestones, implement, test, roll out, and measure the outcome.
- Contribute to ingestion-platform capabilities such as reusable connector patterns, self-serve integration workflows, and snapshot and event-ingestion paths.
- Use AI-assisted tools to accelerate integration development, testing, and troubleshooting while validating their output and maintaining ownership of production quality.
- Improve ingestion freshness, correctness, and reliability by defining and tracking service-level goals, strengthening error handling and alerts, and investigating data gaps or delays.
- Diagnose issues across vendor APIs, ingestion services, and downstream interfaces; participate in the team’s on-call rotation and turn recurring failures into durable fixes.
- Collaborate asynchronously with engineers and partners across product and platform teams. Participate in design discussions and code reviews, and document the systems you change.
- 3+ years of software engineering experience, including hands-on development of production backend services in Python.
- Experience owning the delivery of complex features: turning a clearly defined problem into a technical approach, implementation, and successful launch.
- Strong fundamentals in backend design, APIs, data modeling, testing, debugging, and performance.
- Experience operating services in production and using logs, metrics, and alerts to investigate and resolve issues.
- Familiarity with cloud services and deployment practices, ideally AWS.
- Clear written communication and the ability to clarify ambiguous requirements with teammates and stakeholders across functions and time zones.
- Care for correctness, code quality, and the customer impact of data reliability.
- Experience with Go, Kafka or another messaging system, and distributed data pipelines.
- Experience integrating with third-party SaaS APIs, including authentication, pagination, rate limits, and inconsistent source data.
- Familiarity with Docker or other container technologies and SQL databases.
- Experience with batch or snapshot ingestion, workflow orchestration, or configuration-driven integration frameworks.
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A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
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.
Skills Required
- 3+ years of software engineering experience
- Hands-on production backend development in Python
- Experience owning complex features from technical approach through successful launch
- Strong backend design, API, data modeling, testing, debugging, and performance fundamentals
- Experience operating production services using logs, metrics, and alerts
- Familiarity with cloud services and deployment practices, ideally AWS
- Clear written communication and ability to clarify ambiguous requirements
- Experience with Go
- Experience with Kafka or another messaging system
- Experience with distributed data pipelines
- Experience integrating third-party SaaS APIs, including authentication, pagination, rate limits, and inconsistent data
- Familiarity with Docker or other container technologies
- Familiarity with SQL databases
- Experience with batch or snapshot ingestion, workflow orchestration, or configuration-driven integration frameworks
Abnormal Security Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Abnormal Security and has not been reviewed or approved by Abnormal Security.
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Fair & Transparent Compensation — Pay is considered aggressively benchmarked to leading tech markets with annual reviews, and feedback suggests engineering and sales roles are compensated competitively with strong upside potential.
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Healthcare Strength — Health coverage is portrayed as robust, including employer-paid premiums for employees in prior postings, One Medical access, and globally designed healthcare and parental leave.
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Leave & Time Off Breadth — Time off provisions include flexible/unlimited PTO, company holidays, and paid parental leave that the company positions as globally available.
Abnormal Security Insights
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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