Engineering Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager - Data and Infrastructure in Spain. In this role, you will lead a high-performing team responsible for the data layer and operational foundation of a cutting-edge digital engineering platform. You will blend hands-on technical leadership with people management, guiding engineers while setting strategic direction for secure, scalable, and reliable infrastructure. The role encompasses managing distributed systems, cloud deployments, self-hosted customer installations, and compliance-sensitive environments. You will collaborate closely with product and security teams to define roadmaps, mentor your team, and drive best practices across DevOps, database management, and deployment automation. This is a pivotal position with the opportunity to shape the evolution of a platform used for complex engineering and simulation workflows. You will have a direct impact on platform reliability, scalability, and adoption while fostering a culture of innovation and collaboration. Accountabilities: Lead, mentor, and develop a team responsible for data systems, DevOps, and infrastructure reliability. Define technical strategy and ensure high-quality execution of all team initiatives. Oversee engineering work on the core graph database, including modifications, CI/CD pipelines, documentation, and incident response. Manage infrastructure improvements for Kubernetes-based deployments, Argo CD, Helm charts, and automation tooling. Plan and execute deployments into compliance-restricted environments, ensuring secure-by-default practices. Collaborate with product, security, and engineering leadership to set priorities and drive roadmap execution. Promote best practices in observability, monitoring, and operational excellence across data and infrastructure teams. Requirements: Seven or more years of software engineering experience, with at least two years in a leadership role. Experience managing teams working on infrastructure technologies, including Kubernetes, ArgoCD, and Postgres or other databases. Background in distributed systems, stateful data infrastructure, and enterprise software delivery. Hands-on experience with cloud platforms, particularly AWS (EKS, VPC networking, IAM). Proven ability to mentor engineers, set technical direction, and deliver complex projects reliably. Strong communication and collaboration skills for cross-functional and remote team environments. U.S. citizenship and residency required. Preferred Qualifications: Experience developing database technologies, especially graph databases. Knowledge of cybersecurity and compliance frameworks such as NIST, CMMC, or FedRAMP. Experience supporting ITAR or other restricted federal environments. Familiarity with Infrastructure as Code tools (e.g., Terraform), service meshes, and observability stacks. Benefits: Competitive compensation range: $170,000 - $230,000 per year. Health and family benefits: medical, dental, vision, life insurance, with premiums fully covered. Flexible work hours and unlimited paid time off, including federal holidays. Financial benefits: 401k, company stock options, and home office setup budget. Learning and development support: reimbursement for approved trainings, subscriptions, and conference attendance. Remote-first environment with periodic in-person team gatherings for collaboration and professional development. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best  Why Apply Through Jobgether?  Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.