Software Engineer 2

Abnormal AI; United Kingdom; Remote; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company that is passionate about making a positive impact through technology. As a backend engineer, you'll be part of a dynamic team building a new product from the ground up. Your role will involve developing streaming data systems and integrating customers into innovative solutions. This position offers the chance to work in a highly collaborative environment, where your contributions will directly influence the product and the company’s mission. If you're ready to tackle challenges in a distributed team and make a real difference, this is the opportunity for you.

Qualifications

• 3-5 years of software engineering experience with a focus on backend systems.
• Experience with streaming data systems like Kafka or Spark.

Responsibilities

• Build out streaming infrastructure for data integration.
• Integrate customers into the new streaming infrastructure.

Skills

Streaming data systems

Distributed systems and services

External party APIs

Software engineering experience

Best practices in software development

Python

Job description

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.