Job description

TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? The AI for End-Users team is building TeamViewer Tia, creating AI-powered experiences that help people understand, troubleshoot, and resolve technology issues with less effort. Our goal is to make advanced AI feel simple, trustworthy, and useful in everyday work. In this role, you’ll help build the data, platform, and infrastructure capabilities that support reliable AI-powered products in production. You’ll work across AI, data, security, and platform teams to ensure our systems are scalable, observable, secure, and ready for enterprise use. Responsibilities • Build and maintain the data and AI platform services that support TeamViewer’s AI-powered products. • Develop data pipelines, retrieval systems, indexing, and infrastructure for AI workloads. • Operate production model infrastructure, including deployment, versioning, routing, caching, and cost controls. • Build monitoring and observability capabilities for AI systems, including performance, quality, latency, and cost tracking. • Support CI/CD practices for AI systems, ensuring changes can be tested, deployed, monitored, and rolled back safely. • Maintain evaluation infrastructure to help teams measure quality, identify regressions, and support release decisions. • Ensure data quality, security, privacy, governance, and access controls across structured and unstructured data sources. • Collaborate with AI engineers, software engineers, product, security, and platform teams to deliver reliable production systems. Requirements • 7+ years of software engineering or data platform experience, with strong Python skills and solid SQL knowledge. • Proven experience building production-grade data pipelines, platform services, or AI infrastructure. • Hands-on experience with AI or ML systems in production, including retrieval pipelines, embeddings, vector databases, or model deployment. • Strong understanding of MLOps, LLMOps, CI/CD, automated testing, monitoring, and observability practices. • Experience optimizing production systems for performance, reliability, scalability, and cost efficiency. • Knowledge of cloud platforms, with Azure or GCP experience preferred. • Solid understanding of data governance, security, privacy, and compliance requirements. • Experience using AI-assisted development tools while maintaining high standards for code quality, security, and maintainability. • Strong problem-solving skills, clear communication and the ability to collaborate across global teams. What we offer • Competitive compensation and bonuses • Flexible PTO and paid holidays • 401(k) with employer matching • Comprehensive Health insurance package including 100% employer-paid medical coverage • Up to 12 weeks of Parental Leave • Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid • Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings • Open door policy and business casual dress code • We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us! Work location for this position is Austin, TX. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Requirements

Must-haves

Build and maintain the data and AI platform services that support TeamViewer’s AI-powered products.
Develop data pipelines, retrieval systems, indexing, and infrastructure for AI workloads.
Operate production model infrastructure, including deployment, versioning, routing, caching, and cost controls.
Build monitoring and observability capabilities for AI systems, including performance, quality, latency, and cost tracking.
Support CI/CD practices for AI systems, ensuring changes can be tested, deployed, monitored, and rolled back safely.
Maintain evaluation infrastructure to help teams measure quality, identify regressions, and support release decisions.
Ensure data quality, security, privacy, governance, and access controls across structured and unstructured data sources.
Collaborate with AI engineers, software engineers, product, security, and platform teams to deliver reliable production systems.
7+ years of software engineering or data platform experience, with strong Python skills and solid SQL knowledge.
Proven experience building production-grade data pipelines, platform services, or AI infrastructure.
Hands-on experience with AI or ML systems in production, including retrieval pipelines, embeddings, vector databases, or model deployment.
Strong understanding of MLOps, LLMOps, CI/CD, automated testing, monitoring, and observability practices.
Experience optimizing production systems for performance, reliability, scalability, and cost efficiency.
Solid understanding of data governance, security, privacy, and compliance requirements.
Experience using AI-assisted development tools while maintaining high standards for code quality, security, and maintainability.
Strong problem-solving skills, clear communication and the ability to collaborate across global teams.

Nice-to-haves

Knowledge of cloud platforms, with Azure or GCP experience preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdpythonsqlmlazuregcp

Platform: teamtailor
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

401(K)

Pto

Parental Leave