Sr Staff Software Engineer

Qualifications

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• 12+ years of software engineering experience in a high-traffic, cloud-based environment, with at least 3 years in a senior or staff-level individual contributor role.
• Strong proficiency in Java, javascript and/or Python, with solid understanding of distributed systems, concurrency, and scalable service design.
• Deep hands-on experience with CI/CD platforms (e.g., Jenkins, GitHub Actions) and modern DevOps tooling at scale including pipeline design, build optimization, and release automation.
• Expert-level knowledge of Kubernetes and container orchestration
• Strong observability and monitoring background — hands-on with Grafana, Prometheus, OpenTelemetry, or equivalent stacks; able to design and instrument dashboards, alerts, and SLO/SLI frameworks across distributed services.
• Experience operating and debugging services on Kubernetes clusters — log aggregation, tracing, resource profiling, and incident response in containerized environments.
• Demonstrated experience building and operating developer productivity or internal platform tooling.
• Understanding of performance engineering concepts including load testing, API latency profiling, page-load optimization, and shift-left testing strategies.
• Track record of applying AI/ML or agentic AI to engineering workflows; experience with MCP, A2A, or AI-native development platforms is a strong plus.
• Excellent cross-functional collaboration and communication skills — able to influence partner orgs (App and platform teams), lead governance forums, and drive alignment without direct authority.
• Familiarity with the ServiceNow platform is a plus.