Own a portfolio of named strategic customers (typically $500K+ ACV), with flexibility to engage additional high-value Azul Prime customers as opportunities arise.
Build and maintain deep, long-term relationships with technical stakeholders — SREs, Java developers, platform engineers, and architects.
Partner closely with Sales, Customer Success, and Support on joint account planning, renewals, and expansion opportunities.
Serve as the primary technical advisor for Azul Prime across your accounts.
Lead troubleshooting, root cause analysis, and performance tuning engagements for JVM-based applications running at enterprise scale.
Provide architectural guidance on reliability, scalability, latency, throughput, and cloud cost optimization.
Work with customers to identify and qualify candidate applications for Azul Prime, then partner with them through successful production deployment.
Collaborate with Azul’s runtime, compiler, GC, and tooling engineering teams to resolve complex technical issues.
Channel structured, actionable customer feedback into Azul’s product and engineering organizations to help shape the roadmap.
Act as a senior point of technical escalation for high-severity issues within your accounts.
Design and deliver customer-facing workshops, training sessions, and technical business reviews.
Create and maintain high-quality technical documentation, runbooks, and reusable customer-facing assets for Azul Prime.
Share knowledge internally, mentoring peers across the TAM, Sales Engineering, and Support organizations.
Keep internal systems current with account activity, engagement notes, and customer outcomes.
Requirements
12+ years in senior technical roles such as software engineering, SRE, performance engineering, or cloud/platform engineering.
8+ years in customer-facing technical roles (TAM, solutions architect, consulting engineer, or SRE with direct customer engagement).
Strong working knowledge of Java programming and JVM internals — garbage collection, JIT compilation, class loading, threading, and memory model.
Demonstrated experience tuning and troubleshooting enterprise-scale Java applications in production.
Demonstrated ability to perform root cause analysis and apply structured problem-solving techniques.
Strong Linux fundamentals, including shell scripting and performance troubleshooting on Linux systems.
Hands-on experience with distributed systems, public cloud platforms (AWS, GCP, and/or Azure), and containerization (Kubernetes, Docker).
Excellent written and verbal communication skills, with the ability to translate complex technical concepts for audiences ranging from individual engineers to senior executives.
Based in North America and able to travel occasionally to customer sites (typically 10–20%).
Deep specialization in JVM performance tuning, GC behavior analysis, and low-latency Java applications.
Experience with observability and monitoring stacks (Prometheus, Grafana, Datadog, New Relic, Dynatrace, JFR, or similar APM tools).
Familiarity with microservices architectures and modern cloud-native Java deployment patterns.
Cloud platform certification (AWS, Azure, GCP) or SRE-related certifications.
Contributions to open-source Java projects or active participation in the broader Java technical community.
Experience using Jira and Confluence to raise bugs and maintain documentation.
Prior experience with Azul Prime, OpenJDK, HotSpot, or other commercial Java runtimes.