Infrastructure Engineer - Madrid, SK

Madrid Office · Engineering – Infrastructure / · Permanent Full Time Employee / · Hybrid · Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefin ...

Job description

Madrid Office

Engineering – Infrastructure /

Permanent Full Time Employee /

Hybrid

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.

At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.

How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

As an Infrastructure Engineer, you'll be responsible for managing and operating our AWS Cloud Infrastructure, whilst working in deep collaboration with peers and business teams. Previous hands-on experience with AWS is a must.

Key Responsibilities:

• Hands-on knowledge of Cloud Infrastructure (AWS) across Compute (Containers & Serverless), Storage, Database and respective network and security concepts and a working knowledge of Infrastructure as Code solutions.
• Understanding of DevOps practices and tools across CI/CD, Observability, Automation within the context of delivering high quality, resilient production applications.
• Leads, with high-agency, the development of major, team-scoped, projects; drives initiatives from ideation to completion; takes responsibility for delivering outcomes.
• Proactively communicates within and outside the team and collaborates effectively cross-functionally; escalates and removes blockers. Participates in team activities as support rotations, TDD discussions, etc.
• Mentors and provides guidance to junior engineers
• Has good product knowledge of Cloud Infrastructure; proactively fills the gaps and clarifies requirements and suggests improvements based on product knowledge and technical insights.
• Writes AI enhanced production-ready code, finding appropriate solutions for complex challenges; leads software design discussions; Participates in code-reviews and provides constructive feedback
• Writes good-quality documentation in order to solicit and receive the best feedback on proposals.
• Ensures that the code delivered is fully tested, including edge cases, creating & maintaining excellent coverage through automated testing. Drives the performance and quality within their scope
• Implements and maintains high-quality logging, monitoring, alerting, and instrumentation. Participates in troubleshooting & resolving incidents, leads the incident management process
• Demonstrates a strong understanding of system infrastructure and DevOps principles; contributes to performance and quality within their scope; applies a security-first mindset
• Promotes engineering best practices across team's scope.
• Actively pursues improving engineering skills, including but not limited to problem solving, writing readable/testable/efficient code, mastering technology in our stack, and anticipating scaling issues.
• Be highly productive - have a reputation for getting things done quickly and efficiently.
• Requires very little oversight from team leads or managers
• Be able to communicate well with all engineers, regardless of seniority
• Interviews prospective candidates and provides thoughtful evaluations and feedback

Qualifications:

• 3+ years of experience operating AWS Infrastructure
• Monitoring & Observability with Datadog
• CI/CD: Gitlab, ArgoCD
• IaC: Terraform, Cloudformation (SAM)
• AWS datastores : RDS Aurora MySQL & PostgreSQL, DynamoDB, Neptune, S3, Redshift
• Containerization: Docker and EKS & Service Mesh - Istio

Why join us?

Key moment to join Aircall in terms of growth and opportunities

• Our people matter, work-life balance is important at Aircall

Fast-learning environment, entrepreneurial and strong team spirit

45+ Nationalities: cosmopolite & multi-cultural mindset

Competitive salary package & benefits

DE&I Statement:

At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.

We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.

We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.

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.