Devops Engineer Lead jobs at Bank Of America in United States, Charlotte

Job Description:

Job Description:

Managerial Responsibilities:
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
• Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
• Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
• Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
• People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
• Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

Job Description:

Job Description:

Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

Responsibilities:

• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

• Understanding financial data: schemas, flow, size, data issues, data controls, etc.

• Building performant big data pipelines

• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements

• Think outside the box of current industry standards to develop innovative approaches

• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

• Source and evaluate data required for modeling and testing

• Design and develop and implement models and tests

• Produce clear, concise and repeatable technical documentation models and testsfor internal and regulatory purposes

Candidates should meet all or a subset of the following technical skills:-

• Software engineering: modular code, software lifecycle processes, unit testing, regression testing

• Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software

• Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)

Minimum Education Requirement:

• Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience

Qualifications:

• At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries

• Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles

Candidates should have at least one of these following skills and preferably have at least two of these skills:-

• Strong analytical and problem-solving skills

• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions

• Experience with large scale data sets with structured or unstructured data

• Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.

• Experience implementing process improvements and automation

Job Description:

Job Description:

This job is responsible for partnering with engineering and technology teams to implement measures prescribed by the Site Reliability Engineer teams it leads. Key responsibilities include ensuring appropriate instrumentation, tooling, ticketing, alerting and on call routines are in place for key services, demonstrating technical expertise within domains, and decomposing objectives into work units. Job expectations include advancing efficient solution delivery practices and promoting exceptional design, engineering, and organizational practices.

Responsibilities:

• Collaborates with Development and Infrastructure teams to understand technical solutions and implement monitoring capabilities outlined in the application and system monitoring designs put forward by the Senior Site Reliability Engineer (SRE)

• Develops and maintains reliability scripts, tools and libraries and leverages them for common instrumentation, automation, and operational needs, and when mentoring SRE resources on reliability practices and established tools/capabilities

• Partners to implement code changes to make use of common reliability libraries and tools and helps Application Production Services and Application Development teammates understand how to use them

• Participates regularly in architecture community of practice meetings and communication via other channels

• Identifies vulnerabilities and opportunities for reliability improvement, such as investigating low level error rates and 'noise' in monitoring, and defines solutions to reduce manual support effort and/or improve system reliability

• Engages as a subject matter expert in major incident triage efforts and failure scenario modelling and diagnosis with Problem Manager root causes for major incident/problem management investigations

Key Responsibilities:

• Own and drive production issue triage, including expert-level heap and thread dump analysis, memory profiling, garbage collection investigations, and CPU/thread diagnostics.

• Work closely with performance testing teams to monitor system behavior pre- and post-release, ensuring consistent throughput and low-latency service delivery.

• Develop and maintain monitoring and alerting solutions tailored for performance testing infrastructure and production-like environments.

• Collaborate with developers, QA, and performance engineers to interpret telemetry data, identify failure patterns, and implement self-healing mechanisms.

• Act as a technical enabler for multiple teams, providing tooling, insights, and best practices around observability, reliability engineering, and performance.

• Build internal tools that integrate with existing monitoring platforms (e.g., Splunk, , Dynatrace, DNT) to collate and derive insights from performance testing and production metrics.

• Work alongside in-house development teams to enhance internal platforms that aggregate observability data, provide root cause analysis views, and enable smart test reporting.

• Champion reliability and stability by guiding incident response practices, postmortem reviews, and service-level objectives (SLOs) tracking.

Required Qualifications:

• 7-8 years’ experience with hands-on experience in heap dump, thread dump, GC log analysis and JVM internals.

• Proficiency in scripting and application development (e.g., Python, Java, Shell, Node.js) to create diagnostic and observability tools.

• 7-8 years’ experience with logging and monitoring platforms (e.g., Splunk, Dynatrace, DNT).

• 7-8 years experience working with distributed systems, microservice architecture, and container orchestration platforms (e.g., Kubernetes, Docker).

• Experience with performance testing environments and tools like JMeter, LoadRunner, Gatling, or custom test harnesses.

• Ability to identify systemic reliability issues and implement resilient patterns (e.g., circuit breakers, graceful degradation, retry logic).

• Exceptional debugging and root cause analysis skills across application, infrastructure, and network layers.

• Demonstrated ability to build observability tooling or integrations that serve multiple internal teams.

• Familiarity with CI/CD practices and infrastructure-as-code (e.g., Terraform, Ansible) is a plus.

Desired Qualifications:

• Self-starter with a service-oriented mindset and a relentless drive to improve system reliability.

• Comfortable working in a cross-functional, high-impact environment supporting dev, ops, and test teams.

• Strong communication and mentoring abilities to influence engineering culture around reliability and performance.

• Experience contributing to or designing internal engineering platforms or toolkits to scale team capabilities.

Skills:

• Automation

• Collaboration

• Influence

• Production Support

• Result Orientation

• Analytical Thinking

• Application Development

• Architecture

• Solution Design

• Stakeholder Management

• Adaptability

• DevOps Practices

• Project Management

• Risk Management

• Solution Delivery Process

Job Description:

Job Description:

Quantitative Engineer Analyst is the entry level role to becoming a Quantitative Engineer. Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.

Job Responsibilities:

• Understanding financial data: schemas, flow, size, data issues, data controls, etc.

• Building performant big data pipelines

• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements

• Think outside the box of current industry standards to develop innovative approaches

• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

• Source and evaluate data required for modeling and testing

• Design and develop and implement models and tests

• Produce clear, concise and repeatable technical documentation on models and testsfor internal and regulatory purposes

Skills:

• High level of intellectual curiosity

• Feel ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines

• Strong written, verbal, presentation creation and delivery skills

• Well organized, and has attention to detail

Job Summary:

This job is responsible for performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics, independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the line of business and partner organizations (e.g.,. Risk, Product, etc.).

Responsibilities:

• Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance

• Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics

• Identifies fraud trends based on industry and portfolio conditions and communicates findings to senior management

• Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights

• Drive analytics to develop fraud mitigation rules, carefully striking the balance across fraud risk, client impact, operational costs and revenue implications with focus on Health Savings Accounts and related products

• Proactively managing fraud risk by urgently responding to immediate threats while keeping an eye toward future risks, vulnerabilities, and changes to the fraud landscape

• Consistently challenge the status quo to find opportunities to develop and refine our fraud policies and procedures, working closely with the business, operations, and policy partners

• Drive discovery and documentation of end-to-end fraud processes to identify current controls, vulnerabilities, and enhancement opportunities

• Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance

• Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics

• Identifies business trends based on economic and portfolio conditions and communicates findings to senior management

• Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights

Required Qualifications:

• Minimum 3 years SAS/SQL Coding knowledge and/or experience

• Ability to manage multiple projects in a complex and rapidly-changing environment

• Ability to work independently as well as part of a team

• Demonstrate strong analytical skills

• Previous risk/fraud analysis, strategy development, or related experience

• Strong written and oral communication skills

• Intellectually curious and willing to dive into complete issues\problems and solve

Desired Qualifications:

• 5+ years of risk analysis, strategy development, or related experience

• 5+ years of SAS or SQL Coding experience

• Prior experience in Authentication, Fraud, Debit Card or other related risk fields

• Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)

• Experience managing relationships and projects with external vendor partners

Skills:

• Analytical Thinking

• Business Analytics

• Data and Trend Analysis

• Fraud Management

• Problem Solving

• Collaboration

• Innovative Thinking

• Monitoring, Surveillance, and Testing

• Presentation Skills

• Risk Management

• Data Visualization

• Interpret Relevant Laws, Rules, and Regulations

• Issue Management

• Oral Communications

• Written Communications

Job Description:

Job Description:

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in several technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution

• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)

• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline

• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews

• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level

• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features

• Works with stakeholders to establish high-level solution needs and with architects for technical requirements

Required Qualifications:

• Possess 10+ years of experience as an architect, development lead in a complex financial industry data environment.

• Extensive experience working in a complex workflow automation and excellent understanding of Banking.

• Strong proven experience in workflow / Case Management solutions using Pega.

• Strong proven experience in handling medium to large size Pega Application development projects by providing solution design & architecture.

• Owns end to end solution architecture and design for a set of applications within the portfolio

• Extensive hands-on architecture, design and development experience with large-scale application & technology solutions with multiple stakeholders. Reusable framework design/development experience is a plus.

• Extensive hands-on architecture, design and development of micro services general patterns and practices.

• Demonstrate strong leadership, communication, analytical and organizational skills.

• Ability to effectively manage day-to-day interactions and relationships with a diverse group of colleagues.

• Put people at ease when necessary and instill a high degree of trust quickly and genuinely.

• Effectively manage resource allocations to match the budget and keep track of it

• Effectively lead teams and inspire others to achieve goals through innovation, quality and excellence

• Contribute to improve process efficiencies/ Agile enablement etc. for the benefit of the organization

• Manage/track team compositions and maintain balance within Agile teams in regard to resource attrition (Dev)

Skills:

• Automation

• Influence

• Result Orientation

• Stakeholder Management

• Technical Strategy Development

• Application Development

• Architecture

• Business Acumen

• Risk Management

• Solution Design

• Agile Practices

• Analytical Thinking

• Collaboration

• Data Management

• Solution Delivery Process

: Bachelor’s degree or equivalent work experience.

Job Description:

Job Description:

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in several technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution

• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)

• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline

• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews

• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level

• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features

• Works with stakeholders to establish high-level solution needs and with architects for technical requirements

Required Qualifications:

• Possess 10+ years of experience as an architect, development lead in a complex financial industry data environment.

• Extensive experience working in a complex workflow automation and excellent understanding of Banking.

• Strong proven experience in workflow / Case Management solutions using Pega.

• Strong proven experience in handling medium to large size Pega Application development projects by providing solution design & architecture.

• Owns end to end solution architecture and design for a set of applications within the portfolio

• Extensive hands-on architecture, design and development experience with large-scale application & technology solutions with multiple stakeholders. Reusable framework design/development experience is a plus.

• Extensive hands-on architecture, design and development of micro services general patterns and practices.

• Demonstrate strong leadership, communication, analytical and organizational skills.

• Ability to effectively manage day-to-day interactions and relationships with a diverse group of colleagues.

• Put people at ease when necessary and instill a high degree of trust quickly and genuinely.

• Effectively manage resource allocations to match the budget and keep track of it

• Effectively lead teams and inspire others to achieve goals through innovation, quality and excellence

• Contribute to improve process efficiencies/ Agile enablement etc. for the benefit of the organization

• Manage/track team compositions and maintain balance within Agile teams in regard to resource attrition (Dev)

Skills:

• Automation

• Influence

• Result Orientation

• Stakeholder Management

• Technical Strategy Development

• Application Development

• Architecture

• Business Acumen

• Risk Management

• Solution Design

• Agile Practices

• Analytical Thinking

• Collaboration

• Data Management

• Solution Delivery Process

: Bachelor’s degree or equivalent work experience.