Senior Cloud Engineer - GenAI Platform Engineering

Bank of America; Charlotte (NC); Presencial; USD 160.000 - 210.000; Jornada completa

Descripción de la vacante

Bank of America is seeking an experienced Cloud/GenAI Platform Engineer to define and lead the engineering approach for complex GenAI-enabled features. You will design the technology stack, enable CI/CD, and guide teams to deliver scalable, production-grade cloud architectures across AWS, Azure, and GCP.

This role emphasizes collaboration with architects and stakeholders to ensure secure, reliable deployments.

Formación

• 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles.
• Strong hands-on experience with AWS, Azure, and/or GCP (multi-cloud experience preferred).
• Container platforms (Kubernetes, EKS, AKS, GKE).
• Infrastructure-as-code and CI/CD pipelines.
• Proven experience designing and operating highly scalable distributed systems.
• Containerized workloads in production cloud environments.
• Expertise in scaling strategies (autoscaling, load balancing, horizontal scaling).
• Performance tuning and system optimization.
• Cloud-native architectures and microservices.
• Experience with observability tools (metrics, logging, distributed tracing).
• Reliability engineering (high availability, fault tolerance, disaster recovery).
• Experience supporting AI/ML or GenAI workloads is a plus.
• Familiarity with vector databases, data pipelines, or retrieval-based architectures.
• Experience in regulated enterprise environments and multi-tenant platforms.

Responsabilidades

• Define and lead the engineering approach for complex features to deliver significant business outcomes.
• Define the technology tool stack for the solution and evaluate new testing tools/frameworks.
• Enable CI/CD capabilities and coordinate with stakeholders for efficient CI/CD workflows.
• Guide teams on design and best practices for high code performance.
• Deliver end-to-end complex features across one or more teams at program level.
• Conduct research, prototyping and explore new toolsets for release management and CI/CD.
• Collaborate with stakeholders to define high-level solution needs and work with architects on technical requirements.
• Build and operate the cloud infrastructure layer for GenAI platform across AWS, Azure, GCP.
• Design, implement, and manage containerized environments (Kubernetes, managed services).
• Develop and maintain scalable deployment and release pipelines.
• Engineer highly scalable cloud architectures.

Conocimientos

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

Educación

Bachelor's degree or equivalent

Herramientas

AWS

Azure

GCP

Kubernetes

EKS

AKS

GKE

Infrastructure as Code

CI/CD pipelines

Observability tools

Reliability engineering

Descripción del empleo

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 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 Responsibilities Overview

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 a number of 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


• Build and operate the cloud infrastructure layer for the GenAI platform across AWS, Azure, and GCP, enabling secure and scalable deployment of agent‑based applications, APIs, and model‑serving workloads.


• Design, implement, and manage containerized environments (Kubernetes and managed services such as EKS, AKS, GKE)


• Develop and maintain scalable deployment and release pipelines


• Engineer highly scalable cloud architectures

Job Profile Summary

Global Markets GenAI Technology is a fast‑growing global team with locations in New York City, Charlotte, London, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Global Markets GenAI Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout global generative AI platform.

The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open‑source Large Language Models, and large structured and un‑structured data sets will be leveraged to produce insights for Global Markets and its clients.

Required Qualifications

• 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles


• Strong hands‑on experience with:
  
  
  
  • AWS, Azure, and/or GCP (multi‑cloud experience preferred)
  
  
  • container platforms (Kubernetes, EKS, AKS, GKE)
  
  
  • infrastructure‑as‑code and CI/CD pipelines
  
  


• Proven experience designing and operating:
  
  
  
  • highly scalable distributed systems
  
  
  • containerized workloads in production cloud environments
  
  


• Expertise in:
  
  
  
  • scaling strategies (autoscaling, load balancing, horizontal scaling)
  
  
  • performance tuning and system optimization
  
  
  • cloud‑native architectures and microservices
  
  


• Experience with:
  
  
  
  • observability tools (metrics, logging, distributed tracing)
  
  
  • reliability engineering (high availability, fault tolerance, disaster recovery)
  
  

Desired Qualifications

• Experience supporting AI/ML or GenAI workloads, including:
  
  
  
  • model inference endpoints and API gateways
  
  
  • high‑throughput, low‑latency serving systems
  
  


• Familiarity with:
  
  
  
  • vector databases, data pipelines, or retrieval‑based architectures
  
  
  • scaling patterns for compute‑intensive workloads
  
  


• Experience in:
  
  
  
  • regulated enterprise environments (financial services preferred)
  
  
  • shared, multi‑tenant platform environments supporting multiple teams
  
  

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

Minimum Education Requirements

Bachelor Degree or Equivalent Professional Experience

Shift

1st shift (United States of America)

Hours Per Week

40