2件のstack systemのおすすめの求人

Senior Software Engineer, Security Engineering
Bot Auto —名古屋市金山
- AWS
- 大卒
- JavaScript
クイック応募
Notebook PC Storage Engineer
Lenovo —横浜市
- 英語
- ソフトウェア開発
- 製造

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Senior Software Engineer, Security Engineering

Bot Auto
名古屋市金山

クイック応募

求人の詳細

資格とスキル

CI/CD
クラウドインフラ
Rust
Go
Internet of Things
Kubernetes
AWS
大卒
JavaScript
分散コンピューティング
Terraform
ソフトウェア開発
AI
TypeScript
Python

仕事内容の詳細

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

We are seeking a highly skilled and motivated Senior Software Engineer, Security Engineering to design, build, and operate security across Bot Auto's autonomous trucking stack. The proprietary technology that powers our autonomous driving system is our core intellectual property, and protecting it — along with the safety-relevant systems behind our fleet — is mission critical. In this role, you will work across onboard (in-vehicle) security as well as infrastructure and platform security. You will also help shape how Bot Auto adopts AI responsibly: understanding the security implications of large language models and agentic systems, and developing the protections that let us innovate quickly and safely. As a hands-on technical leader, you will embed security best practices into every layer of our systems, from the vehicle to the cloud.

Key Responsibilities

Design and implement security controls for onboard (in-vehicle) systems, including secure boot, code signing, secrets and key management, secure over-the-air (OTA) updates, and hardening of the autonomous driving software stack.
Architect and operate security across infrastructure and platforms, spanning Kubernetes, public cloud (AWS), on-prem data centers, CI/CD pipelines, and internal developer platforms.
Develop protections for AI systems — assess the security implications of large language models and agentic workflows (prompt injection, data exfiltration, model and supply-chain risks) and build guardrails, sandboxing, and monitoring.
Build identity and access management, secrets management, and least-privilege authorization across services, devices, and the fleet.
Perform threat modeling, security design reviews, and risk assessments for new products and architectures, partnering with engineering teams to remediate findings.
Establish vulnerability management, dependency and supply-chain scanning, and a secure software development lifecycle (SSDLC) across the organization.
Develop detection, logging, and incident response capabilities to identify and respond to security events across onboard and infrastructure environments.
Champion a security-first culture through tooling, automation, documentation, and mentorship.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
5+ years of hands-on software engineering experience, with a strong focus on security
Strong software development skills in one or more languages: Python, Go, Rust, C/C++, or JavaScript/TypeScript
Solid understanding of applied cryptography, authentication and authorization, secure system design, and common vulnerability classes
Experience securing cloud infrastructure and/or distributed systems in production

Preferred Qualifications

Experience with embedded, automotive, IoT, or other onboard/edge security (secure boot, TPM/HSM, code signing, OTA updates)
Familiarity with Kubernetes and cloud security (AWS), IaC security (Terraform, Pulumi), and CI/CD pipeline hardening
Knowledge of AI/LLM security: prompt injection, model supply chain, agent sandboxing, and AI guardrail frameworks
Experience with IAM, secrets management (e.g., HashiCorp Vault), and zero-trust architectures
Hands-on experience with security tooling: SAST/DAST, SBOM and dependency scanning, SIEM, and detection engineering
Familiarity with security standards and frameworks (e.g., ISO/SAE 21434, NIST, OWASP, SOC 2)
Experience with threat modeling and incident response

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