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JobsAbnormal Security

Software Engineer 2

Abnormal Security

Software Engineer 2

Abnormal Security

Hybrid - Bangalore, India

·

Hybrid

·

Full-time

·

3d ago

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

  • Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
  • Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
  • Own the reliability of the systems you build, including unit tests, integration testing, and production observability
  • Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
  • Contribute to API design for customer-facing REST endpoints used by security operations teams
  • Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
  • Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
  • Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

  • BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
  • 3+ years of industry experience in backend development and distributed systems
  • Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
  • Experience working with distributed teams, proficient in asynchronous and written communication
  • Experience improving service reliability, resiliency, and observability in production systems
  • Strong fundamentals in computer science, data structures, and system design

Nice to Have

  • Experience with our stack: Python, Go, AWS, Kubernetes, Django
  • Experience with search systems, remediation workflows, or operational tooling used by SOC teams
  • Experience with SIEM/SOAR integrations or platform APIs
  • Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

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.

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About Abnormal Security

Abnormal Security

Software company.

201-500

Employees

Miami

Headquarters

$4B

Valuation

Reviews

3.0

1 reviews

Work-life balance

3.0

Compensation

3.0

Culture

2.5

Career

4.0

Management

2.0

60%

Recommend to a friend

Pros

Lots of opportunity for impact

Plenty of work and projects

High impact role

Cons

Questionable leadership

Non data-driven decisions

Poor management decisions

Salary Ranges

50 data points

Senior/L5

Senior/L5 · Senior Manager of Customer Success

1 reports

$202,412

total per year

Base

$176,010

Stock

-

Bonus

-

$202,412

$202,412

Interview experience

1 interviews

Difficulty

1.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience