Principal DevSecOps Engineer (AI-driven)

About the Position

Beyond.pl is the first data center operator in Central and Eastern Europe providing high-performance, scalable IT services for artificial intelligence, cloud computing, and corporate workloads. We deliver services based on our own, EU-located data centers – modern, secure, and energy-efficient. By providing high-performance and renewable energy-powered colocation and computing power services, we boldly support the visionaries of tomorrow. We transform traditional data centers into AI Factories to help develop innovations – in a sustainable, secure, sovereign, and large-scale manner. We provide an ecosystem of services and solutions supporting the development of AI projects. Our multi-level offering consists of: AIaaS based on NVIDIA AI Enterprise, GPUaaS, GPU colocation services, and managed services.

We are looking for a high-level technical expert who combines DevOps, practical, advanced programming, and code production platform architecture competencies. They build secure, automated software delivery processes where AI tools (agents, code assistants, automatic triage) are a daily tool.

They write code independently, set the technical direction of the platform, and solve the most difficult engineering problems. They influence the quality of team work through standards, code review, and mentoring. Security requirements and risk management are implemented in cooperation with the Head of Dev and IT Security.

Responsibilities

The role covers six areas: programming practice, AI in production, secure CI/CD, platform architecture, mentoring and technical influence, and collaboration with other IT units.

Programming Practice (hands-on)

• Designing and creating internal tools, services, integrations, pipeline templates, and components
• Policies and rules as code, own quality and security controls
• Code review in development team projects from a quality and security perspective
• Ensuring code quality, testing, and maintainability of code and automation
• Solving the most difficult technical problems and supporting teams in their diagnosis

AI-driven Engineering

• Implementing and developing AI agents and assistants in the production cycle (code review, test generation, triage support, task automation)
• Conducting PoCs and evaluating AI tools in terms of value, cost, and risk
• Secure AI deployment (code and data protection, agent permissions control, result quality verification) in accordance with the AI Center of Excellence
• Establishing AI work principles and supporting development teams in their application

Secure CI/CD and Supply Chain

• Designing pipelines with built-in security controls and quality gates
• Integrating tools and policies with the software production process
• Ensuring artifact integrity and dependency security

Platform Architecture

• Designing the DevSecOps platform architecture and making key technological and architectural decisions in consultation with the Head of Dev
• Defining standards, reference patterns, and best practices for teams
• Evaluating technical trade-offs, risk, and technical debt, and recommending development directions
• Maintaining platform environments in close collaboration with infrastructure teams

Mentoring and Technical Influence

• Mentoring engineers and sharing knowledge (reviews, workshops, documentation)
• Building a security culture in development teams (security champion)
• Technical leadership of selected initiatives and projects
• Representing the technical perspective to stakeholders

IT Collaboration

• Close collaboration with the Head of Development: agreeing on priorities, platform development direction, and key decisions
• Collaboration with the AI Center of Excellence: agreeing on standards, best practices, and directions for implementing AI in software production
• Jointly establishing SSDLC requirements and their automation in pipelines
• Supporting development teams in eliminating vulnerabilities reported by IT Security
• Participation in threat modeling, architecture reviews, risk assessment, and incident handling

Requirements

• 10+ years of experience in Software Engineering / DevOps / DevSecOps, including a technical leadership role or leading cross-team initiatives;
• Fluent, expert knowledge of at least one programming language and its ecosystem, and the ability to write clean, readable, and maintainable code (clean code, refactoring);
• Regular, ongoing work with code: a practicing programmer role, not just supervision;
• Experience in conducting code reviews and setting code quality standards;
• Experience in automated testing (at least unit, integration, API) and version control;
• Knowledge of design patterns and software design best practices; ability to create scripts, tools, and services;
• Experience in designing solution architectures and making broad-impact technological decisions;
• Experience in building and maintaining CI/CD pipelines (Gitlab), including custom components and templates;
• Practical experience with AI tools in engineering work (code assistants, agents, automation);
• Knowledge of application security and secure software production;
• Experience in mentoring engineers and sharing knowledge;
• Independence and a risk-based approach;
• Openness to new technologies with a critical approach.

Nice to Have

• Knowledge of containerization and infrastructure as code
• Experience in deploying AI in environments with heightened security requirements
• Experience in regulated environments

We Offer

• Stable employment under an employment contract in an IT sector company.
• Flexible working hours and the possibility of hybrid work.
• Attractive salary, bonus system, and recognition awards.
• Employee Training Budget – financial resources allocated to each employee for training, studies, or conferences.
• Professional development – independent projects, cooperation with technology partners, real career advancement path.
• English lessons with a native speaker.
• Private medical care LuxMed for you and your loved ones.
• Life insurance fully funded by the employer.
• Social package – access to the Medicover Benefits platform (including Multisport Card) and "Holidays under a pear tree".
• Care for well-being and mental health – access to the Mindgram platform.
• Motivational and development programs – employee referrals, Ambassador Plus, Idea BOX.
• Employee volunteering – paid days for social activities.
• Integrations and atmosphere – team meetings, company events.
• Working in the first CEE region data center operator providing high-performance, scalable IT services for AI, cloud, and corporate workloads.

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