Staff Platform Engineer
Calendly is hiring a Staff Platform Engineer for a remote role open to applicants in United States. It pays $287k-$347k a year and Level rates it ; you can apply on Calendly.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include Go, Kubernetes and Temporal.
- Level classifies it as a lead role.
- Level lists 8 other open roles at Calendly.
AI in this role
Design and build infrastructure tools and cloud-native applications using Go and Kubernetes to scale Calendly's platform.
What’s in it for you?
Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey.
About the team & opportunity
What’s so great about working on Calendly’s Engineering team?
We make things possible for our customers through innovation.
Why do we need you? Well, we are looking for a Staff Platform Engineer who will bring operational maturity, deep, hands-on subject-matter expertise with Go and the Kubernetes API, and a strong drive to make an impact. You will report to the Head of Infrastructure and will be responsible for successful delivery of Infrastructure roadmap objectives, with the goal of providing a self-service platform that allows product developers to independently operate Calendly’s services.
A day in the life of a Staff Platform Engineer at Calendly
On a typical day, you will be working on:
- Designing and building tools and applications to extend Calendly’s infrastructure platform
- Evaluating and guiding the development of applications across the organization
- Exercising deep expertise in cloud infrastructure concepts and patterns
- Offering and evangelizing patterns for application teams to consume for cloud native applications development
- Fostering a collaborative environment of learning and knowledge dissemination
What do we need from you?
- 10+ years of experience in cloud infrastructure and/or software development
- 4+ years of experience leading technical projects
- An eagerness and drive to teach, share your knowledge, and mentor others
- Comfortable, and practiced, working directly with internal customers to understand needs/requirements and collaborate on solutions
- Creative problem-solving, a keen eye for detail, and ability to deliver high quality solutions to complex issues
- Strong Go (Golang) development experience; especially writing APIs to build, orchestrate and manage cloud infrastructure
- Expert knowledge of patterns and principles for designing and implementing cloud native applications on Kubernetes, such as Controllers and Operators
- Experience building applications on Temporal a plus
- Deep experience designing, building, and running highly-available production applications
- An understanding of the Linux operating system, and systems engineering fundamentals
- Technical knowledge of cloud infrastructure (especially GCP), distributed systems, and reliability practices
- Working knowledge of software and infrastructure tuning and observability (especially Datadog)
- Availability for participation in on-call rotation, ensuring prompt and effective responses to business-critical alerts outside of regular working hours.
- Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
The ranges listed above 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 equity awards, and competitive benefits. Eligible Sales employees also qualify for a Sales Incentive program.
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, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.
- Tier 3: All other locations not in Tier 1 or Tier 2
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 let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, 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
This role may require occasional travel for company events, team collaboration, or offsites.
How we rate this
Staff Platform Engineer at Calendly rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where api development was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- What's a project where you used Go hands-on?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Infrastructure, API Development, Distributed Systems, Go, and Kubernetes. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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