Define the Future of Platform Operations: Operate a platform built by 200 engineers with a team of only five people. The necessary tools, APIs, and infrastructure for efficient operation do not yet exist and must be built. Gain Broad, Deep Expertise: The role offers hands-on involvement across the entire product and development stack.
Recent examples include:
- Tracing commercial-side dev infrastructure build pipelines.
- Designing Continuous Delivery (CD) processes for government deployments that will eventually be used commercially.
- Improving underlying cloud infrastructure emission processes.
- Working with application teams to learn about and deploy nearly every product
- Brings a combination of technical depth, problem-solving skills, and leadership experience
- Navigates ambiguity and works effectively in complex, distributed systems
- Collaborates across teams and escalates issues when needed to maintain progress
- Identifies and addresses inefficiencies in workflows and operations
- Contributes to clarity, accountability, and process improvement
- Balances individual technical work with big picture system and team needs
- Proven ability to maintain 99.99% uptime in production environments
- 7+ years of overall experience, including 6+ years in software development and 3+ years in DevOps practices.
- 3+ years of experience with Kubernetes, Terraform, Python or Go, and AWS
- 4+ years of experience working with distributed systems
- Familiarity with Redis, Kafka/PubSub, and relational databases
- Experience in fast-paced or startup-like environments
- Strong collaboration and communication skills across cross-functional teams and divisions
- Ability to ramp up quickly and contribute in complex, large-scale environments
- Demonstrated leadership in incident management and operational reliability
- Experience with FedRAMP compliance and government security requirements
- Track record of implementing secure CI/CD pipelines in restricted or regulated environments
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Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
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.
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.
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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.
