About the Role
At Abnormal Security, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email and collaboration application cyber security attacks. Our relentless pursuit involves crafting an exceptional suite of products that empowers customers to seamlessly visualize, expertly control, and fearlessly combat cyber-security threats.
The MPP organization in Abnormal Security owns the product platform which enables scalable product development to support the business to create and launch various enterprise-level products for the customers with consistent experience. We are looking for a Sr Software Engineer who will be a feature lead for the Growth team under the MPP organization. Here, we focus on winning and retaining business through customer onboarding, showing value, and empowering GTM org with amazing technological solutions.
What You’ll Do
- Technical Delivery & Operational Excellence
- Build and iterate on product offerings, APIs, platforms, frameworks and tools.
- Responsible for designing, developing, and maintaining feature buildouts to support a world-class user experience for our customers.
- Ensure system stability and reliability of your crafted work.
- Participate in regular code and design reviews as well as team-wide on-call rotation.
- Write code with testability, readability, edge cases, and errors in mind.
- Write and review technical design documents.
- Teamwork & Collaboration
- Communicate effectively in Async manner with team members to provide updates, discuss challenges and propose solutions.
- Collaborate closely with product managers, designers, and engineers.
- Take ownership of projects and is a driver who adds instant adrenaline and drives positive impact when placed on projects and teams.
- Participate in team roadmap discussions & (good to have) proposing long term plans.
- Actively contribute to knowledge sharing within the team and participate in professional development activities.
Must have Skills
- Experienced Sr Software Engineer having 7+ years of industry experience with strong software engineering fundamentals.
- Futuristic, ability to look at the bigger picture, growing system needs.
- Growth-oriented, looking to increase impact, responsibility, and ownership over time
- Having ability to own & drive things forward, have strong knowledge about team owned systems, be able to collaborate effectively with peers and have the ability to influence the team’s goals and roadmap.
- Experience writing production Python.
- Some experience in system design and building resilient applications.
- Detail driven and care about code quality, testing, and performance.
- Ability to make practical trade-offs and propose technical solutions, including writing technical design documents and leading its adoption.
- Strong communication skills and proven ability to work autonomously and asynchronously with remote collaborators and stakeholders.
Nice to Have Skills
- Experience with Golang
- Familiarity with ChatGPT,Cursor and other GenAI productivity tools.
#LI-MT1
Top Skills
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.
