At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve including our employees, customers, shareholders, Partners, and communities.
Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.
The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic.
We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others.
We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose.
If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!
Your Role :
Are you someone who wants to grow to be an impactful technology leader in your career? As an engineer in our ITSM engineering team, you’ll have a significant impact on the growth of our business through innovating with exciting features and functionality with the latest technologies.
We look for candidates who are competent and committed to the SolarWinds mission and display exemplary attitude.
We are seeking a Sr. Staff Full Stack Engineer for our Service Management Engineering team. This team will be responsible for reinventing how modern dev, ops and IT teams deal with managing their assets and workloads at scale with the goal of accelerating MTTR (Mean Time to Resolution) of issues, incidents and outages, to ensure a highly available and resilient system.
This will be ideal for you if you enjoy building modern cloud native applications that are architected for high scale, reliability, security and performance, are adept at building pragmatic solutions on a mature platform that can be developed through execution to impact customers on a global scale and are also able to upskill the engineering organization by example.
In this role, you will work with our product managers, cross-functional engineering teams, and data scientists to define solutions that leverage statistical & deep learning technologies, build and execute on strategic product roadmaps, and design architectures to scale these solutions across our global customer base.