Software Engineer III - Event Management

Job Description:

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

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, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

Responsibilities:

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• Automates manual release activities
• Designs, develops, and maintains automated test suites (integration, regression, performance)
• Design automation platforms that streamline deployment, configuration, and integration of monitoring agents and services.
• Partner with platform, SRE, and operations teams to ensure high system availability and performance (targeting 99.9%+ uptime).
• Responsible and accountable for the application performance in production (application health, resiliency, performance, security, enterprise data management standards, audit exams and reviews).
• Evaluate and integrate modern monitoring tools such as Dynatrace, ITM 6, and Splunk into enterprise systems.
• Serve as a thought leader and mentor, guiding teams through architectural decisions and strategic technical transformations.
• Conduct PoVs for emerging observability solutions and recommend best-fit technologies for enterprise use.
• Responsible for designing solutions that are compliant with all relevant risk, financial, and compliance polices, and standards.

Required Qualifications

• 5-7 years of experience in systems engineering, solutions architecture, or a related field.
• Proven leadership delivering enterprise-scale automation and monitoring systems
• Strong programming skills in Java, Python, C#, and experience with Shell/PowerShell scripting.
• Expertise in modern monitoring platforms such as Dynatrace, ITM 6, Netcool, and Splunk.
• Experience containerizing applications and deploying to OpenShift or other Kubernetes-based platforms.
• Strong grasp of event management, correlation engines, and observability patterns.
• Deep knowledge of REST APIs, CI/CD pipelines, and modern DevOps practices.
• Hands-on experience working with automation tools such as BladeLogic, Ansible, or similar platforms.
• Proven ability to build event-driven and message-based solutions.
• Ability to analyze, evaluate, and improve relational database designs, including normalization, indexing strategies, and schema performance tuning
• Experience working in Agile teams with tools like Jira, Git, and Confluence.

Desired Qualifications

• Experience with cloud platforms such as AWS, including use of cloud-native monitoring and logging services.
• Familiarity with messaging and streaming platforms like Kafka and databases such as Cassandra, MongoDB, and Microsoft SQL Server.
• Exposure to machine learning-based alerting and AI/ML observability strategies.
• Prior experience with IBM Watson A