Infrastructure Engineer

Aircall•Town of Madrid, NY

17h

About The Position

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. Weâre 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. Aircallâs 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. Weâve built a product customers love and a business thatâs scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, youâll join a company in motion. Weâre ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: Weâre 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, youâll 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.

Requirements

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

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 teamâs 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