Job Description

Locations

• Greece
• Areva

Skills Required

• compiler-specific optimization flagsintermediate
• sanitizersintermediate
• troubleshooting binary/link-time issues using tools like ldintermediate
• Bazelintermediate
• Mavenintermediate
• Makeintermediate
• Kubernetesintermediate
• both Jenkinsintermediate
• Pythonintermediate
• Nginx configurationintermediate

Required Qualifications

• In-Depth GCC & Clang Knowledge: Thorough understanding of the compilation lifecycle (preprocessing, parsing, optimization, and linking). Experience with compiler-specific optimization flags, diagnostic flags, and cross-compilation targets. (experience)
• Advanced Diagnostics: Proficient in troubleshooting binary/link-time issues using tools like ld, gold, lld, nm, objdump, and readelf. Experience using sanitizers (ASan, TSan, MSan) to root-cause build and runtime anomalies. (experience)
• Expert-level Build Systems: Proficient with Bazel (including writing custom toolchain definitions and rules in Starlark) and managing bazel-remote cache environments. (experience)
• Multi-Language Compilation: Proven experience managing builds for large-scale C/C++, Python, Go and Perl applications, alongside familiarity with Maven and Gradle. (experience)
• Embedded Systems: Hands-on experience with Make and Buildroot configurations for generating root filesystems and cross-compiler toolchains. (experience)
• Orchestration & Cloud: Strong hands-on experience with Kubernetes (K8s) and OpenStack. (experience)
• CI/CD Platforms: Deep familiarity with both Jenkins and GitLab CI/CD pipelines. (experience)
• Version Control: Fluent in both Git/GitLab and Mercurial workflows. (experience)
• Scripting: Advanced proficiency in Python, Bash, and Perl. (experience)
• Web Servers: Strong working knowledge of Nginx configuration and traffic management. (experience)
• DevOps Mindset: Deep understanding of modern DevOps methodologies, infrastructure-as-code, and continuous integration paradigms. (experience)
• AI-Assisted Engineering: Hands-on experience leveraging or deploying AI tools and agents (Claude, Cursor, Copilot) within an enterprise development lifecycle. (experience)

Responsibilities

• Build Architecture & Optimization: Design, maintain, and optimize scalable build systems using Bazel and Starlark, ensuring ultra-fast, reproducible builds via local caching and bazel-remote.
• Compiler Toolchain Management: Configure, tune, and maintain custom GCC and Clang toolchains. Diagnose complex compilation and linking issues.
• Legacy & Multi-Platform Integration: Support and migrate complex, multi-language legacy build environments utilizing Make, Buildroot, Maven, and Gradle.
• Infrastructure & Orchestration: Maintain and scale cloud-native CI/CD infrastructure deployed across Kubernetes (K8s), OpenStack and Bare Metal environments.
• Dual Version Control Management: Manage and bridge workflows between distributed version control systems, primarily GitLab and Mercurial.
• Automation & Tooling: Write robust, maintainable scripts and tooling in Python, Bash, and Perl to automate operational tasks and improve developer efficiency.
• Core Services Support: Configure and optimize proxies and web servers using Nginx to ensure high availability for internal development services.
• Next-Gen AI Development: Champion and integrate AI-agent-based development workflows (including Anthropic Claude, Cursor, and GitHub Copilot) to accelerate internal engineering velocity and automate code analysis
• Build Architecture & Optimization: Design, maintain, and optimize scalable build systems using Bazel and Starlark, ensuring ultra-fast, reproducible builds via local caching and bazel-remote.
• Compiler Toolchain Management: Configure, tune, and maintain custom GCC and Clang toolchains. Diagnose complex compilation and linking issues.
• Legacy & Multi-Platform Integration: Support and migrate complex, multi-language legacy build environments utilizing Make, Buildroot, Maven, and Gradle.
• Infrastructure & Orchestration: Maintain and scale cloud-native CI/CD infrastructure deployed across Kubernetes (K8s), OpenStack and Bare Metal environments.
• Dual Version Control Management: Manage and bridge workflows between distributed version control systems, primarily GitLab and Mercurial.
• Automation & Tooling: Write robust, maintainable scripts and tooling in Python, Bash, and Perl to automate operational tasks and improve developer efficiency.
• Core Services Support: Configure and optimize proxies and web servers using Nginx to ensure high availability for internal development services.
• Next-Gen AI Development: Champion and integrate AI-agent-based development workflows (including Anthropic Claude, Cursor, and GitHub Copilot) to accelerate internal engineering velocity and automate code analysis

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