DevOps Engineer at 94-1687665 Bank of America, National

About The Role

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description

This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, coding solutions, unit testing, and ensuring the solution can be integrated successfully into the overall application/system with clear, robust, and well-tested interfaces. Job expectations include an awareness of development and testing practices in the industry.

Position Summary

The Global Operations Emerging Technology (GOET) organization is seeking a DevOps Software Engineer II to support secure, compliant, and scalable application and AI-enabled delivery. This role combines hands-on DevOps and platform engineering with enterprise enablement, including application and AI workload onboarding, CI/CD automation, deployment support, observability, release coordination, and alignment with governance processes such as change management, vulnerability tracking, and Service Management Transformation (SMT). The engineer will help create reusable, automated delivery patterns that enable teams to move emerging technology from experimentation to governed, production-ready outcomes.

Responsibilities

Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Utilizes multiple architectural components (across data, application, business) in design and development of client requirements
Performs Continuous Integration and Continuous Development (CI-CD) activities
Contributes to story refinement and definition of requirements
Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle
Contributes to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause
Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
AI-ready CI/CD engineering - Design and improve CI/CD processes, reusable pipeline patterns, and delivery tooling for application services, APIs, data pipelines, and containerized AI/ML components
AI production operations - Partner with AI/ML, data engineering, application, and platform teams on artifact promotion, configuration, deployment reliability, rollback, observability, and human-in-the-loop production workflows
AI-assisted engineering - Evaluate responsible opportunities to use AI-assisted coding, automated documentation, intelligent incident analysis, and workflow automation to improve engineering productivity and operational quality

Required Qualifications

8+ years of experience in DevOps, SRE, Platform Engineering, Cloud Engineering, or a related software engineering role
Hands-on experience building and supporting CI/CD pipelines using one or more of the following or equivalent technologies: GitHub Actions, Jenkins, JFrog Artifactory, Ansible, XLR, and Harness CD
Experience with Jenkins multibranch pipelines, shared libraries, and version control tools such as Git, Bitbucket, and GitHub
Experience implementing DevSecOps controls using code and container scanning tools such as SonarQube, Checkmarx, Aqua Security, or equivalent
Proficiency with Infrastructure as Code using Terraform preferred, AWS CloudFormation, or Azure Resource Manager
Experience with on-premises or cloud container orchestration platforms such as OpenShift preferred, Rancher, AKS, EKS, GKE, or Kubernetes
Strong scripting and automation skills using Python, Bash, and/or PowerShell
Experience with IT Service Management tools such as Remedy and ServiceNow, including support for the end-to-end change request process
Ability to troubleshoot across application, pipeline, infrastructure, container, network, and deployment layers
Strong communication and coordination skills across engineering, security, operations, risk, and business stakeholders

Desired Qualifications

Experience enabling AI/ML, Generative AI, agentic AI, data engineering, or model-inference workloads through production delivery pipelines
Familiarity with MLOps or LLMOps concepts such as model and prompt versioning, evaluation gates, artifact lineage, quality monitoring, responsible AI controls, and human-in-the-loop workflows
Experience with Astronomer Airflow or Apache Airflow for scheduling, deploying, and operating containerized data or AI workflows using approved base images