
Software Engineer 2 – Development Infrastructure
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States.
• Spearhead the design and implementation of intricate, multi-component features and systems for Development Infrastructure offerings, while shaping the roadmap for the area.
• Create and sustain CI/CD infrastructure and tools that empower Engineering to develop and deploy changes with greater reliability and reduced effort.
• Design and enhance GitHub Actions infrastructure, foundational Docker images, and build/deploy pipelines to boost scalability, performance, and cost-efficiency.
• Leverage AI tools to investigate and evaluate solutions, adapting generated changes to fit production constraints.
• Take ownership of on-call issues, including those that are complex and have unclear root causes, and address systemic gaps.
• Engage in planning sessions, code reviews, standups, and other activities throughout the software development lifecycle.
• Mentor fellow engineers on the team.
• Over 3 years of hands-on engineering experience in building backend systems and/or platforms.
• More than 2 years of experience working with Python.
• Proven track record of delivering complex projects from inception to completion in a cloud-native environment.
• Experience in building or managing CI/CD, build, or deployment systems in a production setting, including on-call and incident response duties.
• Knowledge of distributed systems, containerization, and microservices.
• Practical experience with Generative AI tools in everyday engineering tasks.
• Experience in developing and maintaining CI/CD systems.
• Familiarity with GitHub Actions.
• Proficiency in Go.
• Experience with Bazel.
• Background in working with Engineering Effectiveness, Engineering Productivity, Development Experience, Development Infrastructure, or similar teams.
• Understanding of Docker, Kubernetes, or related technologies.
• Acquainted with Generative AI tools like Codex and Claude, along with experience in driving AI-centric workflows and solutions.
• Eligibility for bonus or incentive compensation.
• Equity eligibility.
• Comprehensive benefits package.
• Pre-employment checks in alignment with current legislation and Abnormal AI policies.
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