Java Senior Software Engineer —Vice President

We are seeking a highly skilled and results-driven Senior Software Engineer with deep expertise in observability, AIOps, and Java/Python application engineering to join our team and play a pivotal role in advancing the firm's Operating Model AI (OMAI) strategy.

This role is central to our transition from traditional operational models to a predictive, efficient, and scalable AI-driven framework. The successful candidate will design, build, and ship production-grade applications, standardize telemetry across the estate using Open Telemetry (OTel), harness AIOps platforms to intelligently correlate and remediate operational events, and integrate AI/ML capabilities into observability pipelines delivering a unified, intelligent view of our systems.

We are looking for an active, hands-on software engineer who thrives not only in designing, but in implementing the solution as well, takes pride in shipping production-grade code, and brings an energizing, collaborative presence to everything they do.

• Design, develop, and deploy Java and Python applications across microservices and distributed architectures, with observability engineered in from the start
• Standardize telemetry (metrics, logs, and traces) across applications using Open Telemetry (OTel) to build a consistent, AI-ready data foundation
• Advance AIOps capabilities by leveraging Big Panda to correlate operational alerts, suppress noise, and build automated remediation workflows
• Harness Google Cloud Observability tooling — Cloud Monitoring, Cloud Logging, Cloud Trace — for advanced cloud-native monitoring and performance analysis
• Integrate AI/ML into observability and automation pipelines to enable predictive failure detection and self-healing systems
• Analyze operational data to identify high-value automation opportunities that maximize reliability, efficiency, and engineering velocity
• Define and own SLIs, SLOs, and error budgets in partnership with reliability and product engineering teams
• Partner with AI/ML, platform, and architecture teams to co-innovate and deploy scalable automation solutions aligned to the OMAI strategy
• Act as Subject Matter Expert (SME) for observability and AIOps — providing hands-on technical guidance and mentorship across the team
• Participate in all SDLC phases — analysis, design, construction, testing, deployment, and maintenance
• Proactively troubleshoot and resolve complex application and infrastructure issues, driving long-term stability through collaborative root cause analysis
• Stay ahead of the curve on emerging practices in observability, AIOps, cloud engineering, and agentic AI

• 6+ years of hands-on software engineering experience
• Proven, hands-on Java development skills designing and delivering robust production applications using Spring Boot or equivalent frameworks, independently and at pace
• Practical Python experience for application development, automation, and tooling
• Demonstrated expertise in Open Telemetry (OTel) — instrumenting Java and Python applications and standardizing metrics, logs, and distributed traces across services
• Exposure to tools like Big Panda for alert correlation, event management, and automated remediation workflows
• Proficiency with Google Cloud Observability — Cloud Monitoring, Cloud Logging, Cloud Trace, and related tooling — for cloud-native monitoring and performance analysis
• Strong understanding of SRE principles — including SLIs, SLOs, error budgets, and incident management
• Experience integrating AI/ML or agentic capabilities into operational workflows to enable predictive and self-healing systems (highly desirable)
• Solid grasp of RESTful API design and hands‑on experience integrating monitoring and automation tools with backend services
• Strong version…