Software Engineer 2 - Development Infrastructure

Responsibilities

You will lead the design and delivery of complex infrastructure features while maintaining CI/CD pipelines and tools to support engineering productivity. Additionally, you will take ownership of on-call issues and coach other engineers to ensure high-quality software development and system reliability.

Requirements

Candidates must have at least 3 years of professional experience in backend or platform engineering with 2 years of Python proficiency. Experience in cloud-native environments, CI/CD operations, and distributed systems is required.

Skills

• Python
• CI/CD
• Backend systems
• Cloud native
• Distributed systems
• Containerization
• Microservices
• Generative AI
• GitHub Actions
• Docker
• Kubernetes
• Go
• Bazel
• Infrastructure as code
• Deployment systems
• System architecture

Benefits

• Bonus
• Incentive compensation
• Equity
• Comprehensive benefits package

About this role

About the Role
Abnormal AI empowers businesses of all sizes to combat cybercrime through our innovative cloud products. To achieve our mission, we're building a suite of interconnected security solutions on a unified platform, designed to operate flawlessly in global data centers.
The Development Infrastructure team plays a critical role in multiplying the impact of our product teams. We create an environment that fosters high-quality software development, and engineering excellence. This team has become instrumental in the success of our engineering organization.
You are someone who:
Thrives in a collaborative, fast-paced environment
Possesses a passion for helping others build world-class systems
Demonstrates exceptional teamwork skills
Embraces continuous learning and enjoys tackling complex problems
What you will do
Lead the design and delivery of complex, multi-component features and systems of the Development Infrastructure team's offerings, and shape the roadmap for this area.
Develop and maintain CI/CD infrastructure and tools for Engineering to develop and ship their changes reliably with less effort.
Design and implement enhancements to GHA infrastructure, base Docker images and build/deploy pipelines with improvements in scalability, performance and costs.
Use AI tools to explore and compare solutions, and adapt the generated changes to real production constraints, weighing system complexity and long-term maintainability.
Take ownership of on-call issues, including complex issues where the root cause is unclear, and fix the systemic gaps behind them.
Participate in planning, code reviews, standups, and other aspects of the software development life cycle, and coach other engineers on the team.
Must Haves
3+ years of professional experience as a hands-on engineer building backend systems and/or platforms.
2+ years of experience working with Python.
Experience delivering complex projects end-to-end in a cloud native environment.
Experience building or operating CI/CD, build, or deployment systems in production, including on-call and incident response.
Understanding of distributed systems, containerization and microservices.
Practical experience using Generative AI tools in day-to-day engineering workflows.
Nice to Haves
Experience creating and maintaining CI/CD systems.
Experience with GitHub Actions.
Experience with Go.
Experience with Bazel.
Experience working on or with teams like “Engineering Effectiveness”, “Engineering Productivity”, “Development Experience”, “Development Infrastructure” or similar.
Knowledge of Docker, Kubernetes, or similar technologies.
Familiarity with Generative AI tools such as Codex and Claude, and experience driving AI-first workflows and solutions.
#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:
$149,200—$214,500 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.

About Abnormal

Computer and Network Security · 1,001-5,000 employees · headquartered in Las Vegas, Nevada