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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cloud Engineer - GenAI Platform Engineering - **Company:** Bank of America - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Software Code Optimization, Code Review, Continuous Integration, DevOps, Disaster Recovery, Distributed Systems, Fault Tolerance, Performance Tuning, Release Management, Reliability Engineering, Software Engineering, Data Logging, Google Cloud, Load Balancing, Autoscaling, System Availability, Delivery Pipeline, Grafana, Multi-Cloud, Containerization, Kubernetes, Data Management, Machine Learning Operations, Api Gateway, Data Pipelines, Dynatrace, Microservices - **Published:** October 23, 2026 - **Apply:** https://dejobs.org/x/x/9EF43807EA2E49FE9020A908A517D603/job/ ## About the Role * 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, 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 ## 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 a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery., * 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, Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your "Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) " poster. View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .