Role Description Innovative ideas are the hallmark of our successes and move us on. We are passionate about realizing wind energy projects across the globe and meeting tomorrow's energy technology challenges. You and your engagement can make a contribution to shape the future of renewable energies. - Development of guidelines and policies as well as professional support to ensure the company‑wide Gold Standard for AI - Development, implementation, and monitoring of the Machine Learning Operations framework to guarantee knowledge and results continuity throughout the entire lifecycle of our assets - Close, cross‑functional collaboration with Data Science, Data Engineering, DevOps teams, and relevant stakeholders to ensure smooth, secure, and scalable rollout and lifecycle management of ML models and AI agents across the organization - Active support in building and further developing ENERCON’s AI governance - Identification and implementation of optimization potentials in the development, deployment, and productive operation of machine‑learning models and AI agents - Continuous evaluation of the business value of advanced analytics products Qualifications - Completed degree in Computer Science, Business Informatics, or a comparable qualification - Solid experience with common ML frameworks (e.g., Databricks MLflow, TensorFlow, PyTorch, scikit‑learn) and in building scalable data and ML pipelines - Experience with CI/CD processes for machine‑learning workflows, including monitoring, logging, and secure deployment in production environments - Proficient use of cloud platforms (e.g., Azure) and tools such as Unity Catalog, Git, and modern data‑engineering technologies (e.g., PySpark, Databricks) - Knowledge in securing ML pipelines and responsibly handling sensitive data - Strong analytical and communication skills, paired with enthusiasm for teamwork Benefits - Opportunity to work up to 95% remotely - 30 days of vacation per year - Flexible working hours through modern working‑time models - Internal and external training opportunities through the ENERCON Academy - Comprehensive support for company pension schemes - Private occupational disability insurance under special conditions - Financial support for various forms of capital‑forming benefits - An international onboarding process with a well‑structured induction plan - A company-wide, hierarchy‑spanning first‑name culture as an integral part of our corporate identity - Extensive benefits package including company fitness programs (Hansefit and JobRad) - Exciting and varied tasks in the green growth sector of wind energy

• The primary responsibility of the Executive Director - Central Head of DevSecOps is to oversee the standards, tooling and organizations globally providing infrastructure, application security, administration, configuration, troubleshooting, automation and delivery lifecycle of solutions within Sands. • The DevSecOps functions globally will deploy and support cloud and on-premises infrastructure and services to meet the requirements of business or IT initiatives. • The teams will develop, maintain and execute infrastructure as code scripts and playbooks to automate deployment and maintenance tasks to ensure the availability, reliability, and efficient operation of the enterprise systems. • The Executive Director will work with the leads of DevSecOps globally to ensure consistency across their local disciplines, optimize solutions, and to ensure best practice DevOps and security measures are applied to the solutions. • The position demands someone who is highly technically competent, detail oriented, and driven to stay current with evolving technologies. • In this role, the Executive Director will be responsible for managing the global teams of DevOps Engineers, and AppSec Engineers responsible for overall technical security posture of developed applications and infrastructure. • The DevSecOps teams will work closely with the Corp IT and Corp Cyber Security leadership in coordinating the strategy, architecture and security initiatives and all auditing activities across all team activities. • A key part of the position is supporting compliance efforts related to secure SDLC processes and infrastructure.

• Architect, build, and maintain robust GitLab Pipelines for seamless application deployment • Assist the Platform team with the migration of legacy repositories and workflows from BitBucket to GitLab • Design, deploy, and manage the infrastructure behind our apps—across AWS GovCloud, edge, and Navy networks using Terraform, Ansible, and GitLab • Drive containerization efforts for mission-critical applications and manage Kubernetes • Develop and maintain Helm Charts and ensure cluster resilience through automated Kubernetes backups and recovery testing • Engineer automated processes for RHEL image hardening and execute automated STIG checklists • Integrate automated security scanning into pipelines to maintain Authority to Operate (ATO) status • Establish comprehensive continuous monitoring, alerting, and reporting mechanisms across the platform • Oversee cryptographic lifecycles through rigorous secrets management and automated key rotations.

• Conduct a comprehensive audit of our AWS-based infrastructure (including ECS, Fargate, Terraform IaC, CloudWatch/Sentry monitoring, and disaster recovery setups) and Python/Django application to identify scalability, performance, reliability, and security gaps. • Recommend and implement best practices for high-availability architectures, fault-tolerant mechanisms, and elastic scaling to handle high-traffic scenarios without downtime. • Design and set up a shared tenant instance model, ensuring data isolation, independent scaling per tenant, and compliance with security standards. • Facilitate load testing processes to identify performance optimization opportunities. • Collaborate with our engineering team to enhance CI/CD pipelines, automate deployments, and integrate observability tools for proactive monitoring and alerting.