On this team you will build the product platform, the backbone of our product experience that sits between our LLM (Large Language Model) and our end-user product (editor extensions, and web application).
We are seeking a candidate that is strong on the infrastructure and code level, and has enterprise product experience.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/ .
*Experience building API backends that serve large number of users or that have a high volume of requests
*Experience deploying on Enterprise single-tenant environments is a plus
*Comfortable with distributed systems
*Data pipelines, distributed processing, fault tolerance, performance optimization.
*Message queues, event-driven architectures, e.g. Kafka, Google pub/sub.
*Clouds: managed services, storage. GCP, AWS, Azure.
Experience with developer experience tools
*Worked on CI/CD pipelines
*Worked with containerization in production environments
Experience with testing code
*Unit testing
*Integration testing
*Test performance optimization
Programming languages
*Experience in either Go, Ruby or Python (we're open to people from other languages)
*Big plus if you've worked with C++ or other lower level languages
Other relevant tools/experience
*DevOps: Git, Docker, k8s, Terraform, baremetal.
*Monitoring and alerting (Grafana, Prometheus, Datadog).
- Ideal profile is someone who started in Software Engineering prior to moving into Cloud Engineering.
- Must have startup mentality, no job is too small
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.