Software Engineer 2 – Development Infrastructure

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $149.2k - $214.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 3%

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Logo of Abnormal Security

Abnormal Security

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Abnormal Security is a provider of cloud-native email security solutions that specializes in preventing a wide array of cyber threats. The company focuses on protecting businesses from attacks such as phishing, malware, ransomware, and social engineering, ensuring total protection for corporate email systems. Their offerings include business email security, phishing detection, and securing against account takeovers, making them a leader in the computer and network security space.

📋 Description

• 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

• 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

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

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