Senior Staff Software Engineer - ML/AI

Overview 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: We are seeking a Staff or a Senior Staff Engineer to join our AI Operations Technology and Engineering team. This team is be responsible for reinventing observability in enterprises, reimagining, conceiving, and building solutions that apply intelligence to how our customers observe, act & automate all aspects of work. We bring to life products that are powered by data and ML/AI and develop and deliver a range of solutions that work seamlessly with the rich product offerings from SolarWinds across network, infrastructure, applications, data, ML, and business observability. We process several billions of data points a day, and design and build ML-powered applications that provide our customers meaningful insights from their data and make them actionable in real-time. This will be ideal for you if you enjoy building modern cloud native platform services that are architected for high scale, reliability, security and performance, are adept at bold early-stage ideas 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. Responsibilities Help architect microservices and applications that leverage data & ML/AI to build and deliver differentiated full stack observability solutions Lead technical efforts through all phases of the software development process — from early design phases through to customers and support Collaborate cross-functionally and cross-product to make major improvements to our platform and services Help shape our engineering practices through a broad approach to engineering quality (consistent and thoughtful patterns, improved observability, unit and integration testing, etc.) Develop for developers through APIs and services that allow for extensibility Participate in innovation time to build features for our customers and tools for our engineering teams Qualifications Expert in architecting and building cloud native services/applications at scale, based on microservices and event-driven architectures, with both relational, NoSQL & distributed databases Experience building high scale and high performance distributed systems Experience working with one or more platforms such as AWS, Azure, GCP, and/or Kubernetes Solid DevOps acumen with strong operational excellence mindset Solid understanding of architecting applications that are reliable, scalable and secure Proficient in Golang/Kotlin/Java/.net or similar Full stack experience a plus Product lifecycle experience (concept to ship) of an AI based service/application