DevOps / Build System Engineer

Acronis provides an AI-powered cyber protection platform that unifies operations management, cybersecurity, and data protection. Its products protect businesses and service providers worldwide.

• Own, design, and evolve the build system for a complex product with interdependent components written in multiple programming languages
• Build and maintain end-to-end pipelines, including reproducible builds, dependency and version management, build agents and farms, artifact repositories, and caching
• Assemble and validate release packages, images, installation artifacts, and distribution repositories across parallel release lines
• Build and operate release pipelines for automated validation, regression gating, artifact signing, channel promotion, publishing, and rollback
• Keep the product buildable through toolchain and dependency upgrades, resolve conflicts, and maintain build definitions and downstream patches
• Maintain traceability for shipped products, including versioning, changelogs, artifact provenance, license and SBOM data, and security-scanning and audit integrations
• Automate build tooling, release steps, and build-environment provisioning with Python and shell; integrate builds with source control, review, and issue-tracking workflows
• Support developers and QA with self-service builds, diagnosis of build and packaging failures, and resolution of build-related blockers
• Extend CI/CD coverage with commit validation, artifact promotion, and automated test integration into release gating
• Own build infrastructure, including hosts, builder images, artifact storage, and capacity planning, coordinating with IT and operations where infrastructure is shared
• Investigate complex and intermittent build failures, identify root causes, and implement permanent fixes
• Use AI-assisted engineering tools for development, code and log analysis, debugging, root-cause investigation, and technical research
• Document build and release processes and share expertise with development and QA teams
• Communicate build and release status, risks, dependencies, and critical issues to the development lead

• 5+ Years in build, release, or DevOps engineering for complex software products, including ownership of a complete build system
• Strong CI/CD engineering experience with Jenkins, GitLab CI, GitHub Actions, or comparable tools; pipelines as code, build agents, and artifact repositories
• Experience packaging and distributing Linux binary artifacts, including artifact signing and repository or channel management
• Ability to read, fix, and take over build definitions across multiple languages and tools, including make, CMake, autotools, and language-native build and packaging tools
• Deep understanding of dependency and version management, reproducible and hermetic builds, incremental builds, and build caching
• Solid Python and shell scripting skills for build tooling and release automation
• Strong Linux systems knowledge, containers, and configuration management tools
• Confident use of Git and branching and release models for products with multiple concurrent releases
• Mandatory practical experience using AI-assisted engineering tools for development, debugging, log analysis, investigation, and technical research
• Strong analytical and troubleshooting skills, patience in taking over large inherited build systems with incomplete documentation, and ability to treat the build as a product relied upon by engineering teams
• Excellent English communication and cross-functional collaboration skills
• Будет плюсом: experience delivering updates to installed software, including channels, staged rollouts, acceptance, and rollback; familiarity with software supply chain practices, signing, SBOM, dependency and vulnerability scanning; experience scaling build systems through parallelism and distributed builds and reducing build times from hours to minutes

• All employment offers are contingent upon successful completion of applicable criminal, education, and identity background checks
• Candidates are expected to participate in interviews without AI tools, automated prompts, or third-party assistance. Use of AI or external assistance during live interviews may result in disqualification. For roles where AI skills are being evaluated, permitted use of AI tools will be communicated in advance. Candidates may be asked to disable virtual backgrounds or participate in in-person interviews