At SolarWinds, were a people-first company.

Our purpose is to enrich the lives of the people we serveincluding 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.

Were 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 youre looking to build your career with an exceptional team, youve come to the right place.

Join SolarWinds and grow with us!

At SolarWinds, were reimagining how enterprises monitor, manage, and secure complex IT environments.

Were seeking a Senior Software Engineer Machine Learning to join our Platform Machine Learning team.

In this role, you will design, build, and deploy ML systems that deliver intelligent insights for our observability platform.

What Youll Do :

- Contribute to the full ML lifecyclefrom preprocessing telemetry data and experimenting with algorithms to training, optimization, and deploying models into production.

- Work closely with cross-functional engineering teams and product managers to translate requirements into ML-driven solutions.

- Develop and fine-tune ML models using TensorFlow, PyTorch, and scikit-learn.

- Apply Large Language Models (LLMs) with frameworks like LangChain or Hugging Face to build practical AI-driven systems.

- Implement MLOps practices, ensuring smooth model training, deployment, and monitoring in production.

- Maintain and scale data pipelines, integrate vector databases, and support Retrieval-Augmented Generation (RAG) use cases.

- Run A/B testing and experiments to validate models and optimize performance.

- Stay updated on new ML techniques relevant to IT operations and observability.

What Were Looking For :

- Strong programming expertise in Python with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn).

- Hands-on experience building and deploying ML models in production environments.

- Exposure to LLM-based applications and familiarity with frameworks such as LangChain or Hugging Face.

- Experience with data processing, model lifecycle management, and MLOps practices.

- Strong analytical skills, problem-solving mindset, and eagerness to grow in ML system design.

- Familiarity with observability, IT operations, or infrastructure monitoring is a plus.