You will lead how reliability is engineered across Avalara's global SaaS platform as we scale and move toward an AI-first operating model. You will focus on building a modern, automation-first reliability ecosystem that improves system stability, reduces operational risk, and enables faster, safer product delivery. You will work across multi-cloud environments to design self-healing systems, advance observability, and modernise deployment practices. As a senior individual contributor, you will also raise the technical bar by shaping standards, mentoring engineers, and driving measurable improvements in reliability and performance.

#LI-REMOTE

• Own and evolve the reliability strategy for distributed SaaS systems across multi-cloud platforms
• Design and implement AI-driven operations, including predictive monitoring, anomaly detection, and automated root cause analysis
• Build and scale observability solutions using tools such as Prometheus, Grafana, and OpenTelemetry
• Create self-healing systems and automation frameworks that reduce manual operational work
• Improve deployment practices using feature flags, progressive delivery, and safe rollout strategies
• Ensure reliability and performance of CI/CD pipelines and infrastructure as code environments
• Strengthen system availability, scalability, and fault tolerance across Kubernetes-based platforms
• Lead incident response, improve recovery times, and implement lasting fixes through post-incident reviews
• Integrate AI-driven workflows into incident detection, triage, and resolution to improve operational efficiency
• Mentor engineers and drive adoption of automation-first and AI-first reliability practices

• 10+ years of experience in SaaS, distributed systems, or site reliability engineering
• Programming skills in Go, Java, or Python
• Deep experience with observability tools such as Prometheus, Grafana, and OpenTelemetry
• Hands-on experience with Kubernetes, containerisation, and multi-cloud platforms (AWS, GCP, Azure, or OCI)
• Strong understanding of Linux systems, networking, and cloud-native architectures
• Proven ability to design automation, improve system reliability, and apply AI or machine learning to operational workflows

• You’ll bring experience using AI and AI-related technologies, ready to thrive here.
• You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
• You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

Total Rewards

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.