Technical Leadership: Lead the technical implementation of cloud platform solutions in client projects, ensuring scalable, reliable, and secure architectures tailored to project needs.
Client-Focused Solutions: We act as clients' primary technical point of contact, offering expert advice and custom solutions to meet their specific requirements.
Project Delivery & Documentation: Oversee and drive the technical delivery of projects, ensuring milestones are met with high-quality standards and comprehensive documentation of architecture and decisions.
Automation & Optimization: Design, implement, and maintain automated CI/CD pipelines and infrastructure configurations (Terraform, Ansible), continuously optimizing for efficiency and reliability.
Cloud Expertise: Work extensively with AWS, Azure, and potentially Google Cloud data services to configure, maintain, and support client data environments.
Collaboration Across Teams: Provide domain knowledge and collaborate with interdisciplinary teams to align on project objectives and technical requirements.
Occasional On-Call Support: In accordance with client needs, provide sporadic on-call support for deployments or incidents across different time zones.
Agile Workflow: Operate within an Agile/Scrum framework to ensure timely and collaborative project execution.
Data Platform Excellence: Design and implement robust data platforms using technologies like Databricks to enable data science and ML workflows.
Must Have
Experience: 4+ years in a platform, cloud, or infrastructure engineering role, with substantial hands-on experience in cloud environments (AWS, Azure) and Kubernetes.
Education: Computer Science or related degree or equivalent experience.
Infrastructure as Code: Strong proficiency in Terraform and Ansible, familiarity with other IaC tools (e.g., CloudFormation, Puppet).
Programming & Scripting: Proficiency in at least one programming language (Python preferred).
System Administration: Deep knowledge of Linux and shell scripting.
Network, Security and Containers: Solid understanding of networking fundamentals (DNS, VPN, TCP/IP, firewalls) and containerization technologies (Docker, Kubernetes).
DevOps: Experience with ArgoCD, GitlabCI or other tools for deployments.
Client-Facing Skills: Demonstrated experience in client interactions, capable of managing expectations and delivering solutions in a consultative manner.
Remote Work Experience: Experience in remote-first work environments, self-motivated, and organized to manage tasks independently.
Documentation & Communication: Fluent in English (C1 level minimum) with strong written and verbal communication skills.
Legal Documentation: Valid passport or EU ID to facilitate travel if necessary.
Nice to Have
Certifications: AWS or Azure certifications are an advantage.
Additional Tools & Tech: Familiarity with Posit, Domino, Databricks, SnowFlake, or other similar tools is beneficial.
Data Engineering Experience: Exposure to data engineering processes and tooling.
Personality Attributes We Value
Proactive & Resourceful: Takes initiative to troubleshoot and solve technical challenges, with a strong drive for continuous improvement.
Client-Centric Mindset: Shows a commitment to understanding and meeting client needs.
Adaptable & Resilient: Comfortable with ambiguity, able to manage multiple projects and shifting priorities.
Effective Communicator: Skilled at conveying complex technical concepts to diverse audiences, including non-technical stakeholders.
Fearless & Conscientious: Unafraid to try new solutions, balanced with a thoughtful implementation and risk management approach.