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Database Engineer

hace 5 horas

Madrid, Madrid, España Aircall A tiempo completo
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.
About the Role: We are looking for a Database Engineer with a platform mindset to join our Infrastructure department.In this role, you will not simply "manage tickets" or manually tune SQL queries. Instead, you will be a force multiplier and an enabler, constantly mindful of reliability and scalability. Your mission is to codify your deep database expertise into tools, modules, and platforms that make database management and observability effortless for our product engineers. You will build the "Golden Paths" that allow developers to spin up, scale, and monitor databases autonomously, ensuring that safety, security, and best practices are baked in by default. The Mission: Make "The Right Way" the "Easy Way" You will abstract the complexity of our data layer. When a developer needs a database, they shouldn't need to be an expert in AWS parameter groups or replication lag—your tools should handle that complexity for them. What You'll Do:
  • Build Self-Service Tooling: Design and develop the internal platform capabilities (using Terraform and automation scripts) that allow engineers to provision and manage their own data resources. You will turn complex infrastructure requirements into simple, declarative interfaces for developers.
  • Embed Knowledge into Code: "Shift left" your database expertise. You will write automation that applies best practices for indexing, schema design, and security configurations, effectively embedding your brain into the platform.
  • Democratize Observability: Create "out-of-the-box" observability. You will build systems in which databases are preconfigured with the right dashboards, SLIs/SLOs, and alerts in Datadog, making performance visibility automatic rather than manual.
  • Automate Guardrails: Implement automated checks and policy-as-code (e.g., OPA, Terraform Sentinel) to prevent dangerous operations, while still allowing developers to move fast without breaking production.
  • Evolve the Stack: Architect and maintain our core data infrastructure codebases for AWS RDS (Postgres+MySQL), OpenSearch, ElastiCache and DynamoDB.
  • Educate & Enable: Act as a consultant and partner to engineering teams. While your tools will handle the heavy lifting, you will foster a culture of database literacy, helping teams understand how to leverage the platform you build.
Technical Stack:
  • Cloud & IaC: AWS, Terraform (Advanced usage)
  • Scripting/Coding: Python, Go, Bash
  • Data Stores: RDS Postgres, RDS MySQL, DynamoDB, OpenSearch, ElastiCache
  • Observability: Datadog
  • Orchestration: GitLab CI, Kubernetes
A little about you:
  • You have at least 3+ years of experience in Database Engineering and Infrastructure, specializing in the design, automation, and optimization of distributed data stores.
  • Enabler: You derive satisfaction from making others more productive.
  • Automation First: Your instinctive reaction to a manual task is to write a script or build a tool to eliminate it forever.
  • AI First Mindset: You approach problems with a focus on leveraging Artificial Intelligence to drive efficiency and innovation.
  • Communication: You can explain complex database constraints to developers in a way that is helpful, not blocking, and can effectively communicate with stakeholders regarding incidents, changes, and project updates.
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.