Backend Engineer, Calendly

AI Platform

$124-223.2k

Salary dependent on location

MongoDB

AWS

Docker

Kubernetes

GCP

Python

GraphQL

Scala

Java

Redis

Postgres

Azure

Git

REST API

Senior and Expert level

Remote from US

More information about location

Automated appointment scheduling

Be an early applicant

Automated appointment scheduling

501-1000 employees

B2CB2BEnterpriseInternal toolsProductivitySaaSMobileAutomation

Be an early applicant

$124-223.2k

Salary dependent on location

MongoDB

AWS

Docker

Kubernetes

GCP

Python

GraphQL

Scala

Java

Redis

Postgres

Azure

Git

REST API

Senior and Expert level

Remote from US

More information about location

501-1000 employees

B2CB2BEnterpriseInternal toolsProductivitySaaSMobileAutomation

Company mission

To provide broad and deep support for various meeting scenarios, and make scheduling easier and more efficient.

Job

Company

Role

Who you are

Professional experience (typically 5+ years) as a backend engineer or in a similar software engineering role, ideally supporting data or ML systems
Hands-on experience building distributed systems, GraphQL and RESTful APIs, and/or microservices architectures
Strong proficiency in at least one backend programming language (such as Python, Go, Java, or Scala)
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Familiarity with storage solutions relevant for AI (e.g., PostgreSQL, MongoDB, Redis, object storage, data lakes)
Knowledge of security, privacy, and compliance principles in distributed/cloud environments
Comfortable with CI/CD pipelines, version control systems (Git), and infrastructure-as-code

What the job involves

We are seeking a Backend Engineer to help design and build our next-generation AI Platform
As a key member of our Engineering team, you will drive the development of highly scalable, reliable, and performant backend systems that power AI services for end users and product teams
You will collaborate closely with ML engineers, product managers, and other cross functional partners to architect tools and services that accelerate our AI capabilities
Architect, implement, and maintain backend services and APIs for AI-driven products and features
Build scalable infrastructure to support large-scale training, deployment, and monitoring of machine learning models
Integrate third-party AI/ML solutions where appropriate and optimize system performance
Implement security, compliance, and data privacy best practices for AI workflows
Collaborate cross-functionally with ML engineers and data scientists to enable seamless model deployment and management
Develop testing frameworks and monitoring tools to ensure system reliability and observability
Participate in technical design reviews and provide input on best practices and emerging technologies
Debug production issues across services and multiple levels of the stack

Our take

Calendly is a cloud-based scheduling service that is straightforward to use. It allows around 10 million customers per month to connect and make appointments based on their available times without having to send emails back and forth.

The platform offers four different plans - allowing individuals, small companies, and large enterprises alike to make use of these services. Calendly's growth to date been based mostly around a very organic strategy. Its invites become links to Calendly itself, so people who like it can, and do, start to use it.

There are a handful of competing products on the market, including offerings from Doodle and Microsoft, but Calendly's customer-friendly design has won it attention and allowed it to carve itself a space in the field. Impressive funding has contributed to the company's expansion, allowing it to capitalize on the increasing popularity of home and hybrid working.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

21% employee growth in 12 months

Glassdoor (3.2)

Trustpilot (3.6)

Company

Funding (2 rounds)

Jan 2021

$350m

SERIES B

Apr 2014

$0.6m

SEED

Total funding: $350.6m

Company benefits

Quarterly Bonus
Equity
Home Office Setup
Technology
Pick Your Own Perk
Flexible Time Off
Vacation Stipend
Parental Leave
Health and Wellbeing
Fun Community Events
401k Company Match

Company HQ

Atlantic Station, Atlanta, GA

Leadership

Tope Awotona

(CEO)

Having studied at the University of Georgia, they worked as an IBM Sales Rep and for Perceptive Software, Vertafore, and EMC as an Account Manager. They left the latter in 2014, having founded Calendly in February 2013.

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