Infrastructure Engineer II

Bank of America•Plano, TX

About The Position

At Bank of America, the Infrastructure Engineer II supports tool and service designs within a technical domain, enabling business strategies in accordance with architectural governance, standards, and policies. The role creates infrastructure tools and integrates them as services, and facilitates technical deployments through templates, playbooks, and automation. It also identifies opportunities to improve efficiency in implementing and maintaining tools and services, supporting a culture of innovation and continuous improvement. The position focuses on designing, building, and optimizing automation solutions to accelerate vendor product certification for Kafka, MQ, and Tibco, and reduce security risk associated with Mythos-related CVEs. The engineer develops and maintains end-to-end automated certification workflows integrated with CI/CD pipelines to enable consistent, traceable validation with minimal manual effort. The role partners with Security, Platform Engineering, and external vendors to codify certification standards, automate vulnerability validation and patch verification, and deliver compliance reporting and audit evidence. The engineer will use AI-assisted development tools such as Microsoft Copilot and Claude to accelerate code generation and troubleshooting, and to streamline documentation and compliance workflows. The role emphasizes reusable frameworks, rapid iteration, troubleshooting complex enterprise environments, and efficiency across modern DevOps ecosystems.

Requirements

At least 5 years of experience in automation engineering, building scalable workflows and reusable frameworks.
Hands-on expertise developing, integrating, and troubleshooting with Python, Ansible, or Java.
Experience in security automation, including CVE validation, patching, and compliance evidence generation.
Practical experience using AI coding assistants such as GitHub Copilot, Claude, or similar tools to accelerate development and debugging.
Experience with CI/CD tools such as Jenkins and Git-based workflows.
Solid understanding of Linux, shell scripting, networking fundamentals, and enterprise change management processes.
Experience working in regulated or audit-driven environments with a strong focus on traceability and compliance.
Strong collaboration skills across Security, Platform Engineering, and vendor teams.
Bachelor’s degree or equivalent work experience.

Nice To Haves

Excellent communication and documentation skills, including the use of AI tools for technical documentation.

Responsibilities

Provide subject matter expertise and consulting on technologies, and assist Technical Analysts and Infrastructure Engineers in ensuring solutions comply with enterprise system design and engineering standards.
Assist in translating business requirements into technical definitions, reference models, blueprints, and deployment playbooks that comply with architecture standards and policies.
Assist in evaluating reference models, blueprints, and playbooks for fitness for purpose.
Develop software solutions to address manual, repeatable work and inefficient processes.
Conduct on-site evaluations of third-party products being considered for firm adoption.
Promote an inclusive and healthy working environment and help resolve organizational impediments and blockers.
Contribute to the creation or selection of functional and non-functional product evaluation requirements within and across domains.
Design and implement automated certification pipelines for Kafka, MQ, and Tibco products in alignment with Mythos standards.
Use AI tools such as Copilot and Claude to accelerate development, generate automation code, and reduce time to delivery.
Build and maintain reusable automation frameworks and modules for scalable certification and validation workflows.
Automate CVE validation, patch verification, and security remediation to reduce manual effort and improve response time.
Use AI-assisted approaches to analyze vulnerabilities, generate validation scripts, and improve test coverage.
Integrate automation solutions into CI/CD pipelines, such as Jenkins, for continuous, auditable validation.
Partner with Security and Platform Engineering to define certification criteria, compliance standards, and validation policies.
Collaborate with vendor partners to establish consistent certification practices and accelerate onboarding of new releases.
Generate compliance artifacts, reports, and audit evidence, using AI tools for documentation and summarization where appropriate.
Continuously improve automation efficiency, reliability, and observability using engineering and AI-driven insights.