Remote opportunity at
Abnormal AISoftware Engineer II
Abnormal AI is developing a real-time threat intelligence platform from scratch, focusing on streaming critical security data at scale to enterprise clients. This remote Software Engineer…
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About This Role
Abnormal AI is developing a real-time threat intelligence platform from scratch, focusing on streaming critical security data at scale to enterprise clients. This remote Software Engineer II role suits a backend engineer with a builder mindset who can take ownership of zero-to-one challenges, identify unmapped problems, and define the technical path forward. As part of the team, the engineer will build and scale high-performance backend services, optimize live streaming architectures…
Job Description
Abnormal AI is developing a real-time threat intelligence platform from scratch, focusing on streaming critical security data at scale to enterprise clients. This remote Software Engineer II role suits a backend engineer with a builder mindset who can take ownership of zero-to-one challenges, identify unmapped problems, and define the technical path forward.
As part of the team, the engineer will build and scale high-performance backend services, optimize live streaming architectures with low latency, and implement OpenSearch or Elasticsearch layers to make massive datasets actionable. The position involves managing deployments and infrastructure within AWS and EKS, translating high-level objectives into clean code, and utilizing modern AI productivity tools to accelerate development cycles. Candidates should be comfortable collaborating with peers to address architectural gaps and suggest proactive improvements.
Abnormal AI is an equal opportunity employer that considers qualified applicants regardless of protected characteristics. The hiring process incorporates AI-assisted tools for interview preparation, though human staff make all final employment determinations. Successful candidates who receive a conditional offer must complete standard pre-employment checks.
Responsibilities
- Develop and maintain high-performance backend services utilizing Python or Golang
- Construct and optimize streaming architectures for low-latency live threat intelligence
- Implement and tune OpenSearch or Elasticsearch layers for massive datasets
- Translate high-level goals into technical specifications and maintainable code
- Manage deployments and cloud infrastructure within AWS and EKS
- Leverage AI tools to speed up development cycles and automate backend tasks
- Collaborate with team members to identify architectural gaps and propose improvements
Requirements
- Three to five or more years of production experience in backend development and systems design
- Hands-on background with Kafka, Kinesis, or comparable message brokers and streaming platforms
- Demonstrated experience working with OpenSearch or Elasticsearch at scale
- Familiarity with AWS and mandatory production experience with EKS and Kubernetes
- Proficiency in Python or Golang along with solid Postgres experience
- Builder mindset suited for zero-to-one challenges and defining loose requirements
Qualifications
- Familiarity with React and TypeScript for internal tools and data visualizations
- Interest in cybersecurity or background handling security data
- Experience applying modern AI productivity tools to increase engineering velocity
- Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
The source posting indicates that the role is remote.
What technical stack will I be working with?
Engineers work with Python or Golang, Postgres, Kafka or Kinesis, OpenSearch or Elasticsearch, and AWS with EKS.
Is the salary specified in the job posting?
The posting does not state the salary for this position.
What education is required?
A Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field is listed as a nice-to-have qualification.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.