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Software Engineer 2

Menlo Ventures

United Kingdom

Remote

GBP 50,000 - 80,000

Full time

2 days ago
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Job summary

Menlo Ventures is seeking a Software Engineer II to join a pioneering team at Abnormal AI focused on revolutionizing cybersecurity through AI-native technologies. You'll play a vital role in building scalable streaming infrastructures while engaging closely with product teams and hiring top talent in a distributed work environment.

Qualifications

  • 3-5 years of overall software engineering experience.
  • Experience with building and operating high-scale distributed systems.

Responsibilities

  • Build out streaming infrastructure for the data integration platform.
  • Partner with ATO Detection team and understand their workflows.
  • Conduct excellent interview practices to assess potential candidates.

Skills

Streaming data systems
Distributed systems
External party APIs
Software engineering best practices
Communication skills

Job description

The Opportunity

Abnormal AI is revolutionizing cybersecurity by leveraging AI-native technologies to combat modern cyber threats. We’re building a team of top-tier engineers who are excited to use Generative AI tools like Cursor, GitHub Copilot, and Claude to redefine how software is built—faster, smarter, and more efficient.

We are seeking a highly skilled Software Engineer II to help shape the future of AI-powered application development. If you’re passionate about cutting-edge technology, scalable systems, and solving real-world challenges, this is your opportunity.

About You

You are someone who wants to make an impact. You are passionate about solving customer problems and have built up a base of skills in backend and distributed systems development to do so. You want to apply those skills on a problem that leaves the world in a better place.

We are a scrappy team: we are building a new product from scratch - this means you should be comfortable with a level of uncertainty beyond what you’d find at a more mature company or even a more mature team at Abnormal. Not every project will come with a well defined PRD - that’s expected and we expect this engineer to go dig in and figure out what to do. This also means occasionally we’ll ask you to do things that may not strictly fit the role of a “backend engineer” - it might mean jumping on a customer call, or digging in to help fix a frontend bug.

We are also not only a remote team, but a very distributed team, as such you will need to have excellent communication skills across both verbal and written mediums. You will need to be just as comfortable on a zoom call as writing a 1 pager project proposal to be shared across the team for technical feedback.

In this job, you will bring these skills

Skills/Experience - Required:

  • Streaming data systems - using Kafka, Spark, Map/Reduce or similar to process large data sets
  • Experience with building and operating distributed systems and services at a high scale (~billions of transactions each day)
  • Working with external party APIs
  • 3-5 years of overall software engineering experience
    • Strong sense of best practices in developing software

Skills - Nice to have:

  • 2+ years Python
  • Working with internal as well as external APIs
Role Responsibilities
  • Build out streaming infrastructure for our data integration platform
    • Be able to capture data from slack, teams and other streaming data platforms for processing within our Data Ingestion Platform (DIP)
    • Work to integrate customers into the new streaming infrastructure, migrating from the older polling model where necessary
    • Work with Product Managers, Designers & Account TakeOver (ATO) detection team on product requirements and frontend implementation
  • Partner with our ATO Detection team
    • Understand the workflows and processes of the ATO Detection team. Be an effective liaison between ATO Infrastructure <> ATO Detection to understand and represent ATO Detection team needs, and convert those needs into ATO Infrastructure team deliverables.
  • Help build our group through excellent interview practices
    • This engineer must be able to accurately assess candidates technical skills, cultural fit and likelihood of success at Abnormal to ensure we hire the right team.
    • Be a talent magnet - someone who through the interview process demonstrates their own strengths in a way that attracts candidates to Abnormal and to the ATO team and ensures that we close the candidates we want to close.
Ready to be part of AI transformation at Abnormal AI? Apply Now!

Once you apply, you’ll be invited to our AI-powered Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!

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