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About the Role

Enterprises of all sizes trust Abnormal’s AI-native security products to stop cybercrime and protect critical communications, identities, and infrastructure in the cloud. Our products are data- and systems-intensive, operating at high scale and low latency across multiple clouds and regions. As a Software Engineer I on the Federated Intelligence Platform (FIP) team, you will design and maintain high-volume ingestion and low-latency services across global infrastructures, playing a vital role in upholding detection efficacy as the company expands its security footprint into identity and AI-agent protection. You’ll learn how to design and implement production-quality systems, work in an AI-native engineering environment, and contribute to services that are reliable, scalable, and security-critical. FIP serves as the federated intelligence layer within the Abnormal Data Platform, managing the ingestion, storage, and retrieval of critical entity insights and threat indicators that drive core detection and the customer portal.

Responsibilities

Implement and ship well-scoped features and improvements in collaboration with more senior engineers, from design review through implementation, testing, and rollout.
Own smaller tasks and components end-to-end, including clarifying requirements, breaking work into steps, writing code, and validating changes in test and production environments with support from the team.
Collaborate on the reliability and performance of existing systems by fixing bugs, addressing simple bottlenecks, and contributing to refactors that improve readability, maintainability, and correctness.
Participate in operational work appropriate to your level, such as helping debug issues, improving runbooks, and learning incident-handling practices before joining the formal on-call rotation.
Work closely with partner teams and stakeholders (other engineering teams, Detection/ML, Product, Infra/Platform) to understand how your changes interact with upstream and downstream systems.
Use AI tools as part of your development loop—for code suggestions, tests, documentation, and experiments—while learning how to validate AI-generated output and maintain engineering-quality standards.
Contribute to documentation and knowledge sharing by writing clear comments, updating docs and runbooks, and sharing learnings from projects, code reviews, and incidents.
Invest in your growth by seeking feedback, pairing with teammates, and taking on progressively larger and more ambiguous work as you gain experience.

Requirements

0–2+ years of professional software engineering experience, or equivalent experience from internships, research, or significant personal projects, ideally in backend, infrastructure, full stack, or other production-oriented systems.
Solid programming skills in at least one modern language used at Abnormal (e.g., Python, Go, TypeScript/JavaScript, or similar)
Strong software engineering fundamentals: data structures, basic algorithms, writing clean and testable code, debugging, and working with version control (e.g., Git).
Practical experience with relational or NoSQL storage solutions and schema design
Competency in cloud infrastructure and container orchestration using AWS, Docker, or Kubernetes
Foundational knowledge of high-scale event-driven architectures and message queuing
Clear, concise communication skills: you ask good questions, can explain your thinking, and collaborate well in a remote, distributed team environment.
A strong growth mindset and willingness to learn—you seek feedback, own mistakes, and are motivated to keep improving your craft and impact.

Skills

Distributed systems
High-throughput pipelines
Large-scale data stores (e.g., PostgreSQL, DynamoDB, Redis, RocksDB, Kafka, Spark, OpenSearch/Elasticsearch)
Airflow or equivalent workflow orchestration and data pipeline management tools
Production observability using Grafana or Prometheus
On-call rotations
AI-augmented development workflows and engineering toolsets
Security
Threat detection
Large-scale messaging systems
Containerization
Orchestration (Docker, Kubernetes)
Infrastructure-as-code tooling

Location

Remote

Work Type

Remote

Experience Level

Entry Level
0-2+ years

About the Company

Enterprises of all sizes trust Abnormal’s AI-native security products to stop cybercrime and protect critical communications, identities, and infrastructure in the cloud.
Our products are data- and systems-intensive, operating at high scale and low latency across multiple clouds and regions.
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.

Equal Opportunity

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.