How much experience is required?

3–5 years of relevant experience for this Software Engineer 2 - Backend Engineer role.

What's the tech stack?

Joblaze extracted these technologies from the posting: TypeScript, AWS, Golang, React, EKS, Kinesis.

What seniority level is this role?

Abnormal Security targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Software Engineer 2 - Backend Engineer role at Abnormal Security.

Joblaze summary

In this role, the Software Engineer 2 focuses on developing and maintaining high-performance backend services while building streaming architectures for real-time threat intelligence. Proficiency in Python or Golang, along with experience in AWS and tools like OpenSearch or Elasticsearch, is essential for success. This position is ideal for engineers with 3-5 years of experience who thrive in dynamic environments and enjoy tackling undefined challenges. The team is engaged in a zero-to-one initiative, emphasizing innovation and ownership in a rapidly evolving cybersecurity landscape.

Joblaze insights

Listed about a month ago on Joblaze — tracked directly from Abnormal Security's career page.
Abnormal Security has 85 other open roles including Enterprise Account Executive (Chicago), Director, Central Mid Market Sales, Software Engineer II - Cloud Infrastructure Engineer.
2435 active Python roles on Joblaze right now.
1207 active AWS roles on Joblaze right now.
512 active TypeScript roles on Joblaze right now.

Quick facts

How much experience is required?: 3–5 years of relevant experience for this Software Engineer 2 - Backend Engineer role.
What's the tech stack?: Joblaze extracted these technologies from the posting: TypeScript, AWS, Golang, React, EKS, Kinesis.
What seniority level is this role?: Abnormal Security targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Software Engineer 2 - Backend Engineer role at Abnormal Security.

From the original posting

The Role

We are building a real-time threat intelligence platform from the ground up. This is a zero-to-one initiative focused on streaming critical security data to enterprise teams at scale. As an SWE-2 on this team, you won't just be executing on a roadmap, you'll be helping us find the problems that aren't on it yet. We are looking for a backend engineer with a builder mindset who thrives in an environment where they can take ownership and help define the technical path forward.

What You Will Do

Build & Scale: Develop and maintain high-performance backend services using Python or Golang.
Stream Real-Time Data: Build and optimize streaming architectures to handle live threat intelligence with low latency.
Search & Indexing: Implement and tune OpenSearch/Elasticsearch layers to ensure massive datasets are searchable and actionable.
Define the "How": Take high-level goals and translate them into technical specs and clean, maintainable code.
Cloud Ownership: Manage your own deployments and infrastructure within AWS/EKS.
AI-Augmented Development: Use AI tools to speed up development cycles and automate routine backend tasks.
Collaborative Innovation: Work closely with the team to identify architectural gaps and proactively suggest improvements.

Must Haves

Requirement	Description
Experience	3–5+ years of production experience in backend development and systems design.
Streaming	Hands-on experience with Kafka, Kinesis, or similar message brokers/streaming platforms.
Search	Proven experience working with OpenSearch or Elasticsearch at scale.
Cloud & Containers	Deep familiarity with AWS (highly preferred) and mandatory production experience with EKS (Kubernetes).
Languages & DB	Proficiency in Python or Golang and solid experience with Postgres.
Mindset	Builder mindset: comfortable with "zero-to-one" challenges and defining requirements when specs are loose.

Nice to Have

Frontend Basics: Familiarity with React/TypeScript for building internal tools or data visualizations.
Security Context: An interest in cybersecurity or experience working with security data.
Tooling: Experience using modern AI productivity tools to increase engineering velocity.

Education

Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.

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.