Development and Platform Lead

Bank of America•Pennington, AL

23h•$128,000 - $182,300•Onsite

About The Position

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 driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions. Key responsibilities include directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and working with the Project Management team to define outcomes and inform work structures. Job expectations include providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains. Overview: The Senior Technology Lead is a strategic and hands‑on technology leader responsible for overseeing software development, technology administration, platform engineering, and team leadership. This role drives the design, development, and operational excellence of enterprise platforms while ensuring alignment with business goals. The ideal candidate has deep technical expertise, proven leadership experience, and a strong ability to deliver scalable, secure, and high‑performing technology solutions. Develop and execute technology strategies that support business objectives and future growth. Lead and mentor engineering, administration, and platform teams; foster a high-performance, collaborative culture. Establish best practices for development, DevOps, cloud operations, and platform management. Partner with product, architecture, risk, and business stakeholders to drive technology roadmaps.

Requirements

12+ years of experience in software development, platform engineering, or enterprise technology roles
7+ years in a leadership or management role with responsibility for teams and strategic initiatives
Strong understanding of database technologies, networking, security, and system administration
Hands on end-to-end software development lifecycle (SDLC), including design, coding, testing, deployment, and maintenance.
Hands on expertise in delivery of high-quality applications using modern engineering practices (agile, CI/CD, test automation)
Guide teams in adopting scalable architectures, microservices, APIs, and cloud-native patterns
Administer and support IBM Spectrum Scale System(ESS) 6000 clusters to ensure high availability, resilience and scalability
Install, configure and maintain NSD servers, GPFS clusters
Monitor, analyze and optimize storage performance, throughput, and capacity planning
Troubleshoot and resolve system issues, ensuring minimal downtime.
Perform root-cause analysis of service disruptions and implement preventive measures
Collaborate with stakeholders in maintaining the infrastructure (applying patches, swing to a backup data center etc.)
Must have experience in Incident management, Service Request, Change management and Problem Management
Automate and monitor utilizations and take necessary actions to remediate bottlenecks
Strong knowledge of RedHat Enterprise Linux (RHEL) and Enterprise Infrastructure (patching, upgrade, backup, monitoring etc.)
Perform root-cause analysis of system failures, identify bottlenecks, and establish preventive measures
Must have experience handling performance issues, system optimization and be able to mentor junior team members with best practices
Must have working experience in an enterprise wise shared services environment
Knowledge of data protection, backup, and disaster recovery strategies
Familiarity with monitoring tools (Splunk, Dynatrace etc.)
Skills: Analytical Thinking
Application Development
Data Management
Risk Management
Solution Design
Agile Practices
Architecture
Collaboration
Decision Making
DevOps Practices
Business Acumen
Data Quality Management
Financial Management
Solution Delivery Process
Test Engineering

Nice To Haves

Knowledge of SRE practices, infrastructure-as-code, container orchestration (Kubernetes), and event-driven architectures
Certifications in cloud, security and expertise in cloud technologies (Azure, AWS, or GCP), distributed systems, API platforms, and DevOps
Oversee and maintain infrastructure and system installations including configuration, testing and upgrades
Implement and maintain backup, redundancy and security of the storage systems
Knowledge of Storage Systems, NSD, GPFS
Troubleshoot issues with system, collect logs, raise vendor case, work with vendor

Responsibilities

Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems
Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality
Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement
Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines
Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes
Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes
Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls

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