Software Engineer 2 – Development Infrastructure

Abnormal Security

. Lead the design and delivery of complex, multi-component features and systems for Development Infrastructure offerings and shape the area roadmap .

Posted 10/9/2026full-timeRemote • United StatesMid-LevelSenior💰 $149,200 - $214,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining CI/CD infrastructure and tools, with a strong focus on backend systems and cloud-native environments. Proficient in leveraging Generative AI tools to enhance engineering workflows and improve system performance.

Highest-signal resume keywords

CI/CD Infrastructure DevelopmentPython ProgrammingGitHub ActionsCloud Native Environment ExperienceGenerative AI Tools Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Systems DevelopmentContainerizationMicroservicesGo ProgrammingBazelDockerKubernetesIncident ResponseDistributed SystemsEngineering Effectiveness

Soft Skills

CoachingCollaboration

Industry Keywords

Development InfrastructureEngineering ProductivityDevelopment Experience

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerKubernetesMicroservicesPythonGo

About the role

Key responsibilities & impact

Lead the design and delivery of complex, multi-component features and systems for Development Infrastructure offerings and shape the area roadmap
Develop and maintain CI/CD infrastructure and tools enabling Engineering to develop and ship changes reliably with less effort
Design and implement enhancements to GitHub Actions infrastructure, base Docker images, and build/deploy pipelines to improve scalability, performance, and costs
Use AI tools to explore and compare solutions and adapt generated changes to production constraints
Own on-call issues, including complex issues with unclear root causes, and fix systemic gaps
Participate in planning, code reviews, standups, and other software development lifecycle activities
Coach other engineers on the team

Requirements

What you’ll need

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
Experience creating and maintaining CI/CD systems
Experience with GitHub Actions
Experience with Go
Experience with Bazel
Experience working on or with Engineering Effectiveness, Engineering Productivity, Development Experience, Development Infrastructure, or similar teams
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

Benefits

Comp & perks

Bonus or incentive compensation eligibility
Equity eligibility
Comprehensive benefits package
Pre-employment checks aligned with prevailing legislation and Abnormal AI policies