Offer summary

Qualifications:

3-5 years of software engineering experience, particularly in backend and distributed systems development., Experience with streaming data systems like Kafka and Spark, and building high-scale distributed services., Strong communication skills, both verbal and written, for effective collaboration in a remote and distributed team., Familiarity with external APIs and best practices in software development..

Key responsibilities:

Build and maintain streaming infrastructure for the data integration platform.

Capture and process data from various streaming platforms like Slack and Teams.

Collaborate with Product Managers and the ATO Detection team to understand product requirements and implement frontend solutions.

Conduct interviews to assess candidates' technical skills and cultural fit, ensuring the right hires for the team.

Job description

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.

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