Software Engineer

Who We Are: WellSaid Labs 

WellSaid is the leading AI voiceover studio for enterprise and professional use. Using carefully sourced voice talent and our proprietary AI model, WellSaid provides ultra-realistic voices that the world’s biggest brands trust to engage listeners. We build AI responsibly and ethically.

How You’ll Contribute:  

As Site Reliability Engineer at WellSaid, you'll run our production platform and be working on large-scale projects that improve the availability and performance of our core services and data pipelines. 

In your day-to-day, you will:  

• Build and run our monitoring, tracing and alerting infrastructure
• Drive platform security initiatives including preventative efforts to ensure system reliability
• Lead our response and recovery efforts from active incidents which include performing root cause analysis
• Run our platform and services with high availability and redundancy front and center
• Respond to alerts on issues in our systems & be part of our on call response team. 
• Improve our deployment process with a focus on making all code changes fast, simple, and safe
• Deliver a stable and scalable product platform to enable engineering teams to delivery product in a fast and efficient manner
• Identify novel ways to handle load and scale resource-intensive applications
• Help our engineers write reliable code while retaining our ability to ship fast

What We’re Looking For 

To thrive in this role, you ideally have a strong understanding of computer science concepts including algorithms, data structures, and systems design. You have experience with cloud environments and container technology, including AWS or GCP, Kubernetes, and Docker. You ideally also have some combination of the following: 

• 5+ years with a modern programming language (Golang, Typescript, Python, etc...)
• Strong understanding of Infrastructure as Code (Terraform, Tofu, Pulumi)
• Experience with GitOps/continuous delivery tooling (ArgoCD, Spacelift, Terraform Cloud) 
• Experience building and troubleshooting Kubernetes environments
• The ability to debug and solve issues in complex production environments
• An understanding of how to profile applications and databases, to identify and debug performance issues
• Fluency working in a UNIX shell to analyze logs, investigate issues handle other common operational tasks
• Experience with monitoring tools such as Grafana and Prometheus