Full Stack Engineer- Skylar AI Platform

API use and integration, REST/GraphQL principles

Node.js and/or Python with a focus on automation development

Full-stack debugging and troubleshooting

·JavaScript/TypeScript frontend development to be able to work with our front end teams

Test data generation and management

CI/CD pipeline automation (GitHub, Gitops, etc)

Test automation frameworks (Playwright)

Load/performance testing tools (k6, jmeter, etc)

Docker and Kubernetes fundamentals

Monitoring and observability tools (SkylarOne, Prometheus, Grafana, etc)

Database optimization and query performance to help resolve issues found in testing

Event logging and metrics collection

Trace aggregation and analytics platforms (OpenTelemetry)

Management of ServiceNow

ServiceNow incident/change management workflows

ITSM best practices and ticketing

AI Platform Knowledge

LLM API consumption and integration

Prompt engineering basics

AI system debugging and validation

Cross-functional partnership with engineering, product, and data science

Proactive issue identification and escalation

Technical documentation and knowledge sharing Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.

www.sciencelogic.com