
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.
🔥 12 hours ago
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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.
• Develop and evolve Abnormal AI's internal developer platform • Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure • Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make the Golden Path fast, reliable, and intuitive • Shape AI-native abstractions and workflows consumable by humans and AI agents • Own multi-quarter initiatives as an individual contributor • Collaborate closely with product engineering, Infrastructure, SRE, Security, and other partner teams
• 3+ years of experience as a software engineer or in a similar role • Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems • Experience or strong interest in using LLMs to improve developer workflows • Familiarity with Python, Golang, Bazel, AWS, Kubernetes, and GitHub Actions • Experience building or maintaining CLI tools, scaffolding systems, or internal frameworks used by other engineers • Experience with test data management, integration/E2E test infrastructure, or bad-test detection • Hands-on experience with CLI development • Hands-on experience with YAML/Jinja2-style templating • Hands-on experience with modern type hints and typing discipline, such as typing, dataclasses/attrs, and Pydantic-style patterns • Hands-on experience with testing frameworks such as pytest, Ginkgo, or similar • Hands-on experience with shared library and service development using gRPC/HTTP • Hands-on experience authoring reusable workflows
• Equal opportunity employment • Pre-employment checks aligned with prevailing legislation and Abnormal AI's security and privacy policies • AI-assisted recruiting tools are used for interview preparation but do not make hiring decisions or screen candidates automatically
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