Backend Engineer, AI Platform

About the team & opportunity

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.

A day in the life of a Backend Engineer at Calendly

On a typical day, you will:

• 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

What do we need from you?

• 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’s in it for you?

This role provides a unique opportunity to shape foundational services that power the next generation of AI-enabled solutions. If you thrive in a fast-paced team and are excited by solving complex technical problems in the AI space, we want to hear from you!

Candidate Information

If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com.

Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility.

All candidates can find our Candidate Privacy Statement here. Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection.

Compensation & Benefits

The ranges listed below are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Quarterly Corporate Bonus program (or Sales incentive), equity awards, and competitive benefits.

Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows:

• Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
• Tier 2: Chicago, IL, Austin, TX