Senior Software Engineer - Behavioral Security Products

Abnormal
United Kingdom
Remote

Who this role is best for

Aimed at senior backend engineers with ML experience who can independently lead complex projects and thrive in a remote, collaborative, and fast-paced environment.

Best fit for

  • Candidates with 7+ years of backend engineering experience and a track record of leading system design in cybersecurity.
    — “7+ years of industry experience, with proven expertise as a Senior Software Engineer.”
  • Individuals who have designed scalable, fault-tolerant systems and are comfortable with Python and cloud infrastructure.
    — “Strong backend proficiency in Python, with experience designing and scaling production systems.”
  • Engineers with a history of mentoring peers and influencing engineering practices across teams.
    — “Mentor peers, share knowledge, and influence engineering practices across the team.”

Things to consider

  • This role expects ownership of customer-facing systems and may involve on-call responsibilities.
    — “Participate in code and design reviews, and contribute to on-call rotations.”
  • The position requires a strong understanding of service health, monitoring, and incident response.
    — “Strong understanding of service health, monitoring, and incident response practices.”

How to stand out

  • Highlight experience with large-scale ML and backend systems in your resume and interview responses.
    — “Design, build, and iterate on scalable backend and ML systems, APIs, frameworks, and internal tools.”
  • Emphasize your ability to independently lead complex feature delivery and technical design.
    — “Own end-to-end delivery of complex features that directly impact customer experience.”
  • Showcase your history of writing and reviewing technical design documents.
    — “Write and review technical design documents and influence adoption across the team.”
  • Demonstrate your experience with service-to-service communication and caching technologies.
    — “Familiarity with service-to-service communication (gRPC, Kafka) and caching (Redis).”
  • Mention your hands-on experience with AWS and containerization tools like Docker and Kubernetes.
    — “Experience with AWS cloud services (S3, RDS) and deployment practices.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Complex Feature Delivery
  • Technical Design
  • System Reliability
  • Feature Release Acceleration
  • Team Mentorship
Typical background
7+ years of industry experienceProven expertise as a Senior Software Engineer

Skills & requirements

Required

PythonBackend DevelopmentML SystemsAPI DesignProduction OwnershipStakeholder ManagementTeam MentorshipSystem ReliabilityLatency ReductionFeature Release Acceleration

Preferred

GenaiModern Developer ToolsContainerizationAWS Cloud ServicesService-to-service CommunicationCaching

Stack & domain

PythonBackend SystemsML SystemsApisInternal ToolsLeadershipCollaborationMentorshipCybersecurityAIML

About the role

Original posting from Abnormal

At Abnormal AI, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. 

Abnormal is recognized as a top cybersecurity startup (Leader in the 2025 Gartner Magic Quadrant for Email Security Platforms), securing a Series D funding of $250 million at a $5.1 billion valuation in August 2024. 

About The Team 

The team is responsible for the ownership, development, and operation of the infrastructure and ML models, customer facing APIs and internal tools that drive Abnormal's Account Takeover (ATO) protection product. This product is crucial for detecting malicious activity and safeguarding customers from account theft.

About The Role

We are looking for a Senior Software Engineer to take ownership of complex feature delivery and technical design for our ATO platform. This pivotal role involves evolving the platform to scale with expanding product requirements. The position requires a blend of hands-on backend systems development, production ownership, stakeholder management, and team mentorship. The core goal is to enhance system reliability, reduce latency, and significantly accelerate feature release cycles.

What You’ll Do

Technical Delivery & Excellence

Design, build, and iterate on scalable backend and ML systems, APIs, frameworks, and internal tools 

Own end-to-end delivery of complex features that directly impact customer experience.

Ensure stability, reliability, and operational excellence of critical systems.

Write clean, testable, and resilient code with attention to edge cases and performance.

Write and review technical design documents and influence adoption across the team.

Participate in code and design reviews, and contribute to on-call rotations.

Leadership & Collaboration

Collaborate with product managers, designers, and engineers to align on specifications and priorities.

Break down complex projects into clear executable steps and drive them to completion.

Actively contribute to roadmap discussions and propose long-term technical plans.

Communicate effectively in an async-first environment, providing clarity on updates, challenges, and solutions.

Mentor peers, share knowledge, and influence engineering practices across the team.

What We’re Looking For

Ownership & Growth: A senior engineer mindset—able to independently lead complex projects and grow into a technical leader within the team.

Attention to Detail: Deep focus on code quality, reliability, monitoring, and performance.

System Thinker: Ability to anticipate long-term scaling needs and design resilient architectures.

Strong Collaborator: Comfortable influencing cross-team goals, mentoring peers, and working in a distributed environment.

GenAI Affinity: Proactive in leveraging modern developer productivity tools, including GenAI assistants, to accelerate delivery.

Must-Have Skills

7+ years of industry experience, with proven expertise as a Senior Software Engineer.

Strong backend proficiency in Python, with experience designing and scaling production systems.

Proven experience with large scale system design, building resilient, scalable, and fault-tolerant applications.

Strong knowledge of relational databases and modern data storage technologies .

Familiarity with service-to-service communication (gRPC, Kafka) and caching (Redis).

Experience with AWS cloud services (S3, RDS) and deployment practices.

Familiarity with containerization and orchestration (Docker, Kubernetes, Helm).

Strong understanding of service health, monitoring, and incident response practices.

Experience writing technical design documents and influencing adoption across teams.

#LI-NT1

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.

Source: Abnormal careers

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