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!
We are looking for a Senior Machine Learning Engineer to join our Platform Machine Learning team in Bangalore. In this role, you will design and build production-grade machine learning systems that power intelligent capabilities across the SolarWinds observability platform.
This position focuses on building reliable ML systems and LLM-powered services, including model pipelines, scalable inference systems, and modern MLOps workflows. You will work closely with platform engineers, product managers, and other ML engineers to deliver ML-driven features that operate reliably in real-world production environments.
Responsibilities:- Design, build, and deploy machine learning systems that process large-scale telemetry and operational data.
- Develop and maintain end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and production deployment.
- Build and integrate LLM-powered capabilities, such as Retrieval-Augmented Generation (RAG) pipelines and intelligent automation features.
- Implement and maintain MLOps best practices, including experiment tracking, model monitoring, reproducibility, and automated training and deployment workflows.
- Collaborate closely with platform, infrastructure, and product teams to integrate ML capabilities into distributed SaaS systems.
- Contribute to improving platform reliability and automation through ML-driven insights and predictive systems.
- Evaluate and integrate modern ML tools and techniques that can enhance observability and platform intelligence.
- Support a culture of strong engineering practices including code quality, documentation, and collaborative development.
- 5+ years of experience in machine learning engineering or software engineering.
- Strong programming experience in Python.
- Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Experience building and deploying machine learning models in production environments.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Experience with MLOps tools or workflows (for example MLflow, Kubeflow, SageMaker, Airflow, or similar tools).
- Experience working with data pipelines or large-scale data processing systems.
- Exposure to LLM frameworks or modern AI tooling such as Hugging Face, LangChain, or OpenAI APIs.
- Experience working with containerized environments such as Docker and Kubernetes.
- Strong problem-solving skills and the ability to collaborate across engineering teams.
SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.
All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice
Skills Required
- Strong programming expertise in Python
- Experience with TensorFlow
- Experience with PyTorch
- Experience with scikit-learn
- Hands-on experience building and deploying ML models
- Familiarity with LangChain or Hugging Face
- Experience with data processing and MLOps practices
SolarWinds Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SolarWinds and has not been reviewed or approved by SolarWinds.
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Healthcare Strength — Health coverage is described as comprehensive, with some locations covering healthcare, dental, and vision at 100% and generally well-regarded plan quality. Feedback suggests wellness resources, counseling, and fitness reimbursements further strengthen the offering.
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Leave & Time Off Breadth — Paid time off, holidays, and a sabbatical after five years are part of the package. Feedback suggests global parental leave minimums add meaningful family support to the overall time-off mix.
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Pay Growth & Progression — Compensation is considered solid by many, with consistent raises noted alongside base pay. Feedback suggests bonuses and structured increases contribute to a sense of ongoing pay growth.
SolarWinds Insights
What We Do
SolarWinds is a leading provider of powerful and affordable IT management software. Our products give organizations worldwide—regardless of type, size, or complexity—the power to monitor and manage their IT services, infrastructures, and applications; whether on-premises, in the cloud, or via hybrid models. We continuously engage with technology professionals—IT service and operations professionals, DevOps professionals, and managed services providers (MSPs)—to understand the challenges they face in maintaining high-performing and highly available IT infrastructures and applications. The insights we gain from them, in places like our THWACK® community, allow us to solve well-understood IT management challenges in the ways technology professionals want them solved. Our focus on the user and commitment to excellence in end-to-end hybrid IT management has established SolarWinds as a worldwide leader in solutions for network and IT service management, application performance, and managed services.
