> Markdown version of [/jobs/ext/4290199-vice-president-infrastructure-solution-engineer](https://www.wearedevelopers.com/jobs/ext/4290199-vice-president-infrastructure-solution-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, Infrastructure Solution Engineer - **Company:** The Bank of New York Mellon Corporation - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Information Systems, Databases, Continuous Integration, Relational Databases, DevOps, Java Platform Enterprise Edition (J2EE), Junit, Python (Programming Language), MongoDB, Oracle (Applications), Cloud Services, Software Engineering, Web Applications, Workflow Management Systems, Git, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Dynatrace, Docker - **Published:** October 12, 2026 - **Apply:** https://diversityjobs.com/career/18641499/Vice-President-Infrastructure-Solution-Engineer-New-Jersey-Jersey-City ## About the Role * B.S or M.S in Computer Science, Software Engineering, Information Systems or other similar degree. 5+ years experience. * Proficiency in Java and related technologies (J2EE, etc.) * Proficiency in Python and related technologies * Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes). * Familiarity with database systems (e.g., relational databases like Oracle, MongoDB). * Experience with version control systems like Git. * Experience with Agile development methodologies. * Experience with testing frameworks (e.g., JUnit, Zephyr). * Understanding of security vulnerabilities in web applications. * Good communication and documentation skills. ## Description * Design and implement the organization's Dynatrace observability strategy across applications, infrastructure, Kubernetes, databases, and cloud services. * Develop AI observability capabilities to monitor AI applications, models, agents, prompts, dependencies, performance, reliability, and operational health. * Implement distributed tracing and end-to-end transaction monitoring to identify performance bottlenecks, service dependencies, and root causes across complex environments. * Build Java- and Python-based automation and integrations for Dynatrace onboarding, configuration, alerting, dashboards, workflow orchestration, and CI/CD processes. * Evaluate Dynatrace AI capabilities and emerging observability technologies, translate findings into practical solutions, and clearly communicate recommendations and architecture to engineering teams and stakeholders.