Senior Cloud Infrastructure Engineer, Voiceflow
More information about location
1 day a week in office
AI chatbot developer platform
Open for applications
AI chatbot developer platform
21-100 employees
Open for applications
More information about location
1 day a week in office
21-100 employees
Company mission
To democratise conversational AI – making conversation design easy, collaborative, and accessible to anyone (no matter their technical background).
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
Company
Funding (last 2 of 7 rounds)
Aug 2023
$14.3m
LATE VC
Apr 2023
$15m
EARLY VC
Total funding: $54.2m
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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