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Active3w ago

Software Engineer 1 - Cloud Infrastructure

Abnormal·📍 United States

Employment

Full-Time

Work mode

Remote

Experience

1–2 years

Salary

$122.4K – $176K/yr

Pay vs market · Bottom quarter

This job's pay ($149,200 a year at the midpoint) is higher than about 15% of 2,984 salary-listed Software Engineer jobs in United States in the last 12 months; their median is $207,500.

Salary data →

Role overview

Job description

About the Role Abnormal AI is an AI-native behavioral security platform that protects enterprises from advanced threats by analyzing and understanding communication patterns and access behavior at scale. We now protect more than 25% of the Fortune 500, and as we expand into new product lines and geographies, a scalable, reliable infrastructure foundation is critical to our next phase of growth. The Platform & Infrastructure team is seeking a strong Cloud Infrastructure Engineer to help design, build, and operate the core compute and business-critical infrastructure services that form the foundation of Abnormal’s product platform. What you will do Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure) Develop, evolve, and operate infrastructure as code to support repeatable, auditable, and scalable system provisioning. Drive design collaboration by participating in technical discussions and providing constructive reviews Contribute as a core member of an agile team with a strong sense of ownership and teamwork. Partner closely with product and application engineering teams to understand platform needs and deliver well-designed, developer-friendly infrastructure abstractions. Participate in an on-call rotation with a learning-oriented mindset, gaining insight into customer pain points, identifying systemic gaps, and driving long-term reliability improvements. Drive down technical debt and operational toil by addressing root causes, automating repetitive work, and shaping roadmap investments to sustainably reduce both. Use AI as a primary way to explore, design, and ship solutions, and automate repetitive work and operational toil. Improve team and system context (docs, runbooks, AI skills) so AI-assisted work gets better for everyone. Must Haves Bachelor’s degree in Computer Science or a related technical field 1-2 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security and cost. 1+ years of experience with Python 6 months - 1 year of experience with at least 2 of these areas: Terraform, AWS (or equivalent public cloud provider services), Kubernetes. Experience working within mature software development practices, including source control, testing, and deployment. Experience with on-call rotations, incident response, and operating production-grade systems Experience using AI coding tools (e.g., Claude Code, Codex) in daily engineering work, with the judgment to validate, simplify, and reject AI-generated output that doesn’t hold up in production. Strong communication skills and the ability to thrive in a fast-paced, remote-first environment—balancing autonomy with collaboration, demonstrating a bias toward action, and maintaining a positive, constructive mindset. Nice to Haves Experience with Bash, Golang, and Terragrunt. Prior experience building large-scale infrastructure-as-code abstractions. AWS certifications. #LI-ML1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $122,400 — $176,000 USD A note on AI in our process: 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 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. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. 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 .

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About this listing

  • Source: Abnormal's official careers site · still listed there on 11 Nov 2026
  • Posted 17 Oct 2026

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Role market pulse

How Software Engineer demand looks in United States

83/100 · hot

Live jobs

3,735

Posted 30d

2,901

30d movement

+563.8%

Remote share

25.6%

Salary listed

82.9%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Must Haves Bachelor’s degree in Computer Science or a related technical field 1-2 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security and cost; 1+ years of experience with Python 6 months - 1 year of experience with at least 2 of these areas: Terraform, AWS (or equivalent public cloud provider services), Kubernetes; 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

Department · Platform & Infrastructure

Hiring company

Abnormal

Retail

Abnormal AI is a behavioral AI security platform that protects email, identity, and AI—and stops insider threats. Trusted by 5,000 organizations.

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