Senior Infrastructure Database Engineer

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 Summary:

This job is responsible for leading the most complex technical designs that enable business strategies in accordance with architectural governance, standards and policies. Key responsibilities include facilitating deployment of the most complex technical solutions by developing templates, playbooks and automation used during implementation. Job expectations include consistently looking for opportunities to improve the reliability and efficiency of implementing the services, and influencing a culture of innovation and continuous improvement. You will act as a technical authority and platform owner, driving architecture, standards, and engineering practices across a portfolio of modern data technologies including:

• MongoDB
• Redis
• Graph databases (e.g., GraphDB, Neo4j, Stardog)
• Emerging distributed and specialized data platforms

This role operates at the intersection of:

• Database engineering
• Platform engineering
• Cloud/infrastructure architecture
• Security and compliance integration

You will ensure platforms are:

• Highly resilient and scalable
• API-first and automation-driven
• Simple and intuitive for internal consumers
• Fully integrated into enterprise systems, controls, and workflows

Responsibilities:

• Serves as a consultant on a broad range of technologies, platforms, and vendor offerings to drive targeted business outcomes
• Develops software solutions to address manual and repeatable work or inefficient processes and contributes to the technology strategy for end-to-end engineering solutions and provides feedback to the architecture teams
• Translates business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies
• Participates in various steering committees for technical and infrastructure service domains
• Leads the evaluation of reference models, blueprints and playbooks to ensure they are fit for purpose
• Mentors and guides team members to ensure system design technology solutions comply with enterprise system design and engineering standards
• Creates an inclusive and healthy working environment and help to resolve organizational impediments/blockers
• We are seeking a Senior / Lead Database Engineer to lead the design, engineering, and evolution of enterprise-grade modern database platforms. This role combines deep technical expertise with platform leadership, responsible for delivering scalable, resilient, API-driven database services that integrate seamlessly with enterprise infrastructure and control ecosystems.

Required Qualifications:

• 7+ years as an Infrastructure Engineer or working in a similar function
• Define and own the target architecture and engineering strategy for modern database platforms across the enterprise
• Establish reference architectures, design patterns, and standards for document (MongoDB), in-memory (Redis), graph/knowledge graph platforms
• Evaluate and guide adoption of emerging database technologies aligned to enterprise needs (e.g., AI/GraphRAG, real-time processing, fraud/KYC use cases)
• Ensure architecture aligns with hybrid, multi-cloud, and sovereignty considerations
• Lead the creation of API-driven, self-service database platforms that abstract complexity from application teams
• Define and implement, service catalogs, golden deployment patterns, standardized provisioning workflows, reusable automation frameworks
• Drive adoption of Infrastructure as Code and platform-as-a-product principles
• Ensure the platform delivers, consistent developer experience, rapid provisioning, standardized configurations, built-in governance and controls
• Architect database services for enterprise-grade resilience, including multi-region/multi-site high availability, failover and disaster recovery strategies, backup/restore frameworks
• Lead performance engineering, including sharding and partitioning strategies, caching patterns (e.g., Redis integration), workload isolation and scaling models
• Define and enforce SLOs/SLAs and reliability benchmarks
• Introduce proactive capacity planning and performance optimization models
• Ensure deep integration with core infrastructure layers network (segmentation, routing, load balancing), compute (VM, bare metal, container orchestration), storage (block, file, object; performance tiers)
• Partner with infrastructure and cloud teams to optimize deployment models, standardize connectivity and security patterns, enable Kubernetes/operator-based database management
• Drive consistency across hybrid and multi-cloud deployments

Desired Qualifications:

• Experience leading platform engineering or internal developer platform initiatives
• Experience in financial services or regulated enterprise environments
• Familiarity with Graph/RDF/semantic technologies, AI/ML and GraphRAG architectures
• Experience with Kubernetes operators for databases
• Knowledge of multi-cloud architectures and data sovereignty models
• Experience with observability platforms (Prometheus, Grafana, Splunk, etc.)
• Exposure to data governance and enterprise data architecture frameworks
• Platform thinking and product mindset
• Architectural leadership and systems design
• Deep database engineering expertise
• Automation-first mindset
• Cross-domain integration (infra, security, enterprise systems)
• Strong stakeholder management and influence

The ideal candidate:

• Operates at a lead/architect level, bridging strategy and execution
• Can standardize and scale database services across a complex enterprise
• Balances engineering rigor with usability and developer experience
• Proactively identifies risks, gaps, and optimization opportunities
• Drives alignment across technology, operations, and governance domains

Skills:

• Adaptability
• Business Acumen
• Production Support
• Solution Design
• Stakeholder Management
• Automation
• Influence
• Innovative Thinking
• Solution Delivery Process
• Technical Strategy Development
• MongoDB

Shift:

Hours Per Week:

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