Main Responsibilities: This company is looking for a System Engineering Manager to lead its infrastructure operations, ensuring stability and security across hybrid environments. The role involves: Managing, mentoring, and developing a team of system engineers and technicians. Designing, deploying, and maintaining on-premise and cloud infrastructures, particularly within AWS (EC2, S3, RDS, IAM, VPC, etc.). Guaranteeing service availability, scalability, and resilience through proper system architecture. Implementing security and compliance frameworks, as well as reliable backup and recovery strategies. Coordinating large-scale infrastructure updates, cloud integrations, and optimization initiatives. Collaborating closely with development, network, and security teams to improve efficiency and system reliability. Taking part in on-call rotations to maintain continuous service delivery. Desired Experience: Between 5 and 10 years in system administration and technical team leadership. Expertise in Linux and/or Windows Server management. Proven experience with AWS infrastructure and cloud architecture principles. Deep knowledge of virtualization platforms (VMware, Hyper-V, or Proxmox) and core networking (TCP/IP, VLAN, VPN, firewalls, load balancing). Practical experience with monitoring and observability tools such as ELK, Prometheus, Zabbix, or Grafana. Familiarity with IT security standards and data protection strategies. Strong project management, leadership, and communication abilities. Master’s degree in IT, Systems, or Networks, or equivalent experience. Ability to handle incidents, prioritize under pressure, and ensure 24/7 operational continuity. Availability to participate in scheduled on-call duties.

We are looking for a skilled System Engineer to support and enhance its infrastructure across both on-premise and AWS cloud platforms. The role involves: Installing, configuring, and maintaining server environments, virtualization systems, and storage infrastructure. Managing and optimizing AWS environments, including EC2, S3, RDS, IAM, and VPC resources. Ensuring system scalability, availability, and effective disaster recovery procedures. Applying and monitoring security, compliance, and backup policies. Performing infrastructure migrations, upgrades, and integration projects. Participating in on-call duties to maintain 24/7 service continuity. Collaborating with development, network, and cybersecurity teams to improve performance and resilience. Desired Experience: 5 to 10 years of professional experience in systems engineering or similar technical roles. Advanced knowledge of Linux and/or Windows Server management. Solid experience in AWS cloud services and architecture best practices. Strong understanding of virtualization (VMware, Hyper-V, or Proxmox) and networking protocols (TCP/IP, VLAN, VPN, firewalls, load balancers). Experience with observability and monitoring tools like ELK, Prometheus, Zabbix, or Grafana. Good grasp of IT security principles and data protection mechanisms. Excellent organizational, communication, and incident management skills. Degree in IT, Systems, or Networks, or equivalent experience. Ability to perform effectively under pressure and manage multiple priorities.

A fast-growing digital company is seeking a strategic yet hands-on Head of Data to lead their data function. The ideal candidate will shape and implement a high-impact data strategy, build scalable systems and teams, and promote a strong data culture. Main Responsibilities: Define and execute the company-wide data roadmap. Lead a team of data engineers, ML engineers, and a data product manager. Develop scalable data and ML architecture. Ensure data governance, compliance, and data integrity. Encourage the use of machine learning and predictive analytics. Promote data quality, literacy, and best practices across teams. Advocate for treating data as a product. Manage external data-related partnerships. Desired experience: Proven background in senior data leadership roles. Strong technical expertise in cloud-based data architecture (BI, real-time analytics, ML/AI). Experience growing data functions in B2C digital environments. Solid understanding of data engineering, analytics, machine learning, and governance.