Database Engineer, Aircall
AI-powered communications platform
Be an early applicant
AI-powered communications platform
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To empower every professional to have rich conversations, so they can focus on closing deals and delighting customers.
Role
Who you are
- 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
What the job involves
- 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
- 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
Salary benchmarks
Our take
Call centres have been a mainstay of sales teams for decades, with the human touch delivering an impression conversion rate of about 30% for inbound calls. However analogue call centres are physical infrastructure-heavy and unable to take advantage of the flexibility afforded by remote and hybrid ways of work. Aircall exists to change that, providing a cloud-based call centre infrastructure that allows sales teams to work from their home offices.
Aircall isn't the only company in this space, and it faces heavy competition from Cloudtalk, another cloud-based call centre solution. However Aircall stands out in the market by its use of open APIs and webhooks, making integration with existing productivity and helpdesk tools much easier, and its superior call quality. Aircall has developed a significant customer base with these strengths, with over 20,000 companies using its platform.
The company has raised significant funding in recent years, highlighting the confidence investors have in their offering. With a rapidly expanding presence in the US, European, UK and Australian markets and the recent addition of AI voice agents to handle business calls 24/7, Aircall is clearly set on innovating at scale.
Steph
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$120m
SERIES D
May 2020
$65m
SERIES C
Total funding: $225.6m
Company HQ
NoMad, New York, NY
Leadership
Scott Chancellor
(CEO)Prior to joining Aircall as CEO in 2023, Scott was CEO of Humu and Chief Product/Technology Officer at Apptio. He also spent 7 years at Amazon Web Services as a Director and General Manager of AWS Insights.
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