Full-Time

Pre-Sales Deployment Engineer

Updated on 5/10/2024

ScienceLogic

ScienceLogic

501-1,000 employees

AIOps and IT infrastructure monitoring solutions

Data & Analytics
AI & Machine Learning

Expert

Remote in USA

Required Skills
Kubernetes
Python
SQL
Requirements
  • Minimum 5+ years experience with pre-sales or professional services
  • Experience with training, documentation of best practices
  • Experience with cloud native production services with Kubernetes
  • Customer engagement and onboarding
  • Expert level Kubernetes ingress, storage, networking configuration, troubleshooting and problem resolution
  • Ability to debug complex configuration/operational issues in Kubernetes
  • Expert level Helm chart configuration and troubleshooting
  • SQL a strong plus
  • Python development strong plus
  • Proven troubleshooting skills
Responsibilities
  • Onboarding new customer deployments on-premise/SaaS with Kubernetes
  • Help SEs with demos/POCs, and help troubleshoot customer infrastructure and application issues when deploying ScienceLogic solutions
  • Provide support for SaaS Multi-tenant production deployments

ScienceLogic offers an IT infrastructure monitoring and AIOps solution that provides comprehensive visibility across cloud and distributed architectures, leveraging technologies such as hybrid cloud monitoring, network configuration management, and IT workflow automation to predict and resolve IT problems faster in a digital, ephemeral world.

Company Stage

Series E

Total Funding

$249.4M

Headquarters

Reston, Virginia

Founded

2003

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

-8%

2 year growth

-4%

Benefits

A remote-first culture

Comprehensive medical, dental & vision plans

401(k) plan with employer match

Flexible Paid Time Off (FTO)

Volunteer Time Off (VTO)

5-year service milestone sabbatical

Paid parental leave

Generous employee referral bonus program

Pet insurance

Well-stocked kitchen with rotating snacks and beverages

Regular virtual company-wide events