Abnormal Security is looking for an experienced and driven backend software engineer to join the Product Features team. Join us and help build the platforms that power Abnormal's growth
- Integrations Platform - The backbone of customer trust. Engineer high-volume infrastructure that connects our cybersecurity platform to the tools enterprises rely on. Your work directly influences why customers choose Abnormal.
- Configuration Platform - The engine of developer velocity. Build intelligent systems that transform how 100+ engineers ship products.
Your Impact
- Scale at the core: Design distributed systems handling massive volumes across cloud infrastructure
- Multiply team productivity: Create platforms that let engineers ship faster and build better
- Shape product decisions: Own infrastructure that defines what products we can build and how quickly we deliver them
- Drive business growth: Your platforms directly enable new customer wins and product launches
Join us to create an infrastructure that scales with our ambitious growth and directly impacts how we deliver exceptional products to our customers.
What you will do- Work with the Tech Lead, Engineering Manager and Product Manager to develop and deliver key features for the product
- Assist in guiding and mentoring junior members of the team
- Assume ownership of the reliability of the features you develop, including comprehensive unit tests and rigorous integration testing
- Participate in on-call rotations and provide technical support to effectively troubleshoot and resolve customer issues
- Communicate effectively with the team in an async manner. Display a strong sense of initiative and ownership in providing updates, discussing challenges and proposing solutions without prompting
- Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team and participating in professional development activities
- 4+ years backend engineering with distributed systems - designing, building, and operating production applications in Python and Golang
- Proven platform ownership - end-to-end system design and delivery, balancing feature development with operational responsibilities at scale
- Low-latency, high-throughput expertise - building resilient, scalable systems with SQL/NoSQL databases and strong operational excellence (monitoring, fault tolerance, incident response)
- Architectural thinking - write technical design docs, make practical trade-offs, and influence cross-team technical direction with a futuristic view of system growth
- Growth-oriented mindset - demonstrated trajectory of increasing impact, responsibility, and ownership over time
- Asynchronous collaboration excellence - strong written communication and proven ability to work autonomously with distributed teams and remote stakeholders
- Quality-driven execution - detail-oriented approach to code quality, testing, and performance with a focus on sustainable, maintainable systems
- Experience with our stack: Python, Go, AWS, K8s, Django, Spark, Prometheus
- 2+ years of experience programming in Golang
- Familiarity with AWS services and deployment practices.
- Experience leading a small team to build a feature or component from scratch
- You’ll solve hard, meaningful problems at the intersection of AI, security, and large-scale distributed systems.
- You’ll work with smart, kind, and ambitious teammates who care deeply about craftsmanship, learning, and helping each other grow.
- You’ll get real ownership and autonomy over important parts of our systems and roadmap, with clear opportunities to grow toward Senior and Staff roles over time.
- You’ll be part of an AI-native R&D organization, with strong investment in tools, workflows, and training to help engineers use AI to move faster while raising the quality bar.
#LI-JP2
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
- 4+ years backend engineering with distributed systems
- Proven platform ownership with system design and delivery
- Low-latency, high-throughput expertise with SQL/NoSQL databases
- Experience in architectural thinking and technical documentation
- Strong communication skills for async collaboration
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.
-
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.
-
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.
-
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.
