Senior Cloud Infrastructure Engineer, Voiceflow

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Python

Looker

Java

Bash

Airflow

Linkerd

Terraform

C++

Jenkins

Azure

Pandas

Metabase

Snowflake

PyTorch

BigQuery

Drone

RDS

Golang

Senior and Expert level

Toronto

More information about location

1 day a week in office

AI chatbot developer platform

Open for applications

AI chatbot developer platform

21-100 employees

B2BArtificial IntelligenceCustomer serviceSaaSAutomation

Open for applications

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Python

Looker

Java

Bash

Airflow

Linkerd

Terraform

C++

Jenkins

Azure

Pandas

Metabase

Snowflake

PyTorch

BigQuery

Drone

RDS

Golang

Senior and Expert level

Toronto

More information about location

1 day a week in office

21-100 employees

B2BArtificial IntelligenceCustomer serviceSaaSAutomation

Company mission

To democratise conversational AI – making conversation design easy, collaborative, and accessible to anyone (no matter their technical background).

Job

Company

Role

Who you are

We are looking for curious individuals who are excited by new things and can execute the full lifecycle of a project (requirement analysis, design, implementation, maintenance, retirement) with minimal supervision
Comfortable working with low supervision and high-level requirements
Multi-language backend development proficiency: proficiency in Golang and (python | C/C++ | JS/TS | Java)
For building HTTP microservices that interact with databases and each other
For building Command Line interfaces
Kubernetes, Helm and Docker Compose proficiency:
Container technologies, networking, Golang development with the k8s API on managed platforms like AWS EKS
Experience using Service mesh (istio, linkerd)
Experience with local clusters (kind, k3s, k3d, minikube)
Familiarity with CI/CD systems
Jenkins, CircleCI, Drone, GitlabCI
Proficiency in bash
Infrastructure as Code experience (Terraform, CDK)
GitOps Experience (ArgoCD, FluxCD, etc)
AWS proficiency:
VPC, RDS, Secrets Manager, IAM, Elasticache, EKS, ECR, S3, Route53, Cloudfront, Lambda, KMS, Organizations, CloudTrail, CloudWatch, SNS

Desirable

Experience with Configuration Management Systems (Vault)
Experience with metrics, distributed tracing, and debugging
Experience building/maintaining data analytics systems
Airflow, BigQuery/Snowflake, Metabase, Looker
Monorepository development pattern experience
Kubernetes tooling (external-dns, cert-manager)
Experience in ML frameworks like PyTorch and Pandas
GCP/Azure experience
GCP: CloudSQL, Cloud Storage, GKE, BigQuery, IAM
Azure: Azure Active AD
SQL proficiency
Experience with Kubernetes CSI, CNI, and CRI
Experience with PostgreSQL cluster administration (HA, replication, failover)

What the job involves

As an infrastructure engineer, you will be working on automation projects that will reduce the effort to develop and maintain either our application or infrastructure
In the next year, we will be expanding our data analytics system to transform into a fully data-driven company

Application process

Application - All candidates will hear back, either to move ahead and schedule an interview or to let you know we aren't moving ahead
Role Screening Call - a 30-minute call with Dan (Head of Engineering) to learn more about the role, our company and align on expectations for the role
Technical Screening Call — a 30-minute call with Xavi (Engineering Manager, Infrastructure) to dive deeper on your technical expertise, the role, and our team
Take Home Assignment - a short assignment that will help our team understand how you solve problems
Assignment Presentation - a 60 minute call with our Infrastructure team to present the outcomes of your assignment
Final Interview(s) - you’ll have the chance to meet with our founders Tyler (CTO and Braden (CEO) to learn more about the future of Voiceflow
Offer — this is the part where we all celebrate!

Our take

The global Autonomous AI and Autonomous Agents market is expected to expand over 40% by 2028, with this billion dollar space dominated by ever-evolving discoveries and possibilities. Voiceflow is a collaborative chatbot development platform that enables conversational AI teams to build and launch AI agents more easily.

The company provides tools and data to train AI agents, alongside supporting the building of agents from scratch. The founding team's experience in product teams has led the company to steer away from the format of already established AI developer platforms, that Voiceflow deems “clunky” compared to its own.

Recent funding will allow the company to continue to advance its generative AI-powered features and customer service agents moving forward. It boasts over 100,000 users from over 450 companies, which is testament to the quality of its services, and suggests Voiceflow should continue on it’s upward trajectory.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.6)

Company

Funding (last 2 of 7 rounds)

Aug 2023

$14m

LATE VC

Apr 2023

$15m

EARLY VC

Total funding: $54m

Company benefits

Work with a well-funded yet small, hard working team filled with brilliant passionate people
Take ownership over your work and build momentum on important projects both assigned to you, and of your own choosing
You choose where you work – from your home, the beach, an office, or through our WeWork global membership program
Bi-weekly Team All-Hands, Social Hours, offsites, and more. Keeping our teams engaged, even in the remote world
Supporting continued growth with Learning & Development and Lunch & Learn opportunities
WFH equipment budget and paid development - we’ve got you covered!
Realistic company valuation that gives your equity real, meaningful upside
Supporting new hires by providing opportunities to participate in a Voiceflow Bootcamp where you receive one-on-one support to learn the ins and outs of our product

Company HQ

Wellington Place, Toronto, ON

Leadership

Braden Ream

(Co-founder & CEO)

Currently a Board Member for NEXT Canada. Previously founded and worked as CEO for Flare Software.

Tyler Han

(Co-founder & CTO)

After graduating with a Bachelors in Computer Science, went on to become a Full Stack Developer for the University of Toronto before co-founding Voiceflow.

Michael Hood

(Co-founder & Head of Product/Design)

Previously worked as Lead Designer at Launch Pop, and was selected for the Next 36 Entrepreneur 2018 Cohort.

Andrew Lawrence

(Co-founder)

Was also selected in the 2018 cohort for the Next 36 Entrepreneur and previously co-founded Hypercare.

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