• Own cloud infrastructure end-to-end across our cloud environments, staying hands-on with IaC, CI/CD, and observability alongside the team • Own the SDLC surface area (dev environments, lower envs, release mechanics, monitoring and response) so engineers can ship in minutes rather than days • Build the substrate that lets AI agents observe, reason, and act on business systems with safe defaults, and the rails that let AI-assisted apps from people outside of tech be deployed and supported without becoming operational liabilities • Participate in security operations alongside our SecOps team on CSPM, threat management, and patch management as the infrastructure-side owner of remediations • Frame infrastructure decisions in terms of business outcomes (operational efficiency, financial impact, clinical results), and make progress and tradeoffs visible to leadership as a natural byproduct of how you work • Lead and develop a small, high-impact team, and operate as a peer to our SecOps, Data, IT Systems, and App Engineering leaders as a unifying technical force across the org

• Design and own AWS multi-account architectures, including VPC networking, security controls, and shared-services patterns to support AI workloads • Build and maintain scalable compute environments using ECS Fargate, EKS, and Lambda for both application and model hosting • Implement Infrastructure as Code (IaC) using AWS CDK (preferred) or Terraform to define and manage the entire AI platform stack • Develop and manage CI/CD pipelines using GitHub Actions, incorporating blue/green and canary strategies for model deployments • Architect and operate data services including RDS (Aurora), S3, and Vector Databases (e.g., Pinecone, pgvector) to support RAG and other AI patterns • Partner with the AI Innovation Group to operationalize models using AWS SageMaker, Bedrock, and Azure OpenAI Service • Implement comprehensive observability for infrastructure and model performance, monitoring for latency, drift, and resource utilization • Ensure platform resilience and security, defining disaster recovery strategies and enforcing strict IAM policies for sensitive data.

• Manage, build, deploy, and maintain scalable cloud infrastructure on Azure and AWS. • Optimize performance and manage costs in cloud environments. • Troubleshoot and resolve complex cloud-related issues. • Support onboarding of large and complex clients by implementing tailored cloud solutions. • Design and architect cloud-based solutions that align with client needs. • Identify client requirements and recommend appropriate cloud solutions. • Serve as an escalation point for service-related issues requiring advanced cloud expertise. • Maintain and strengthen partner relationships with Microsoft, Amazon, and other vendors. • Support the sales team during pre-sales activities by providing technical expertise. • Help productize solutions to expand the organization's service catalog. • Conduct research and development to evaluate new technologies and implement best practices. • Document implementations, processes, and solutions for internal and client use.

Role Description As a Staff Engineer, you will serve as a technical leader within a product team focused on delivering Salesforce Marketing Cloud (SFMC) campaign journeys and customer engagement capabilities, operating at the intersection of engineering and marketing technology. You will translate customer needs into scalable, forward-looking technical solutions within SFMC and across the supporting ecosystem, including APIs, cloud services (e.g., AWS), data pipelines, and event-driven architectures, ensuring alignment to enterprise platform standards and long-term strategy. Partnering closely with IT leadership and cross-functional stakeholders, you will drive consistency in solution design, mentor engineers, and shape best practices across Agile, DevOps, and Reliability disciplines, while establishing reusable integration and activation patterns that extend SFMC capabilities across the broader marketing technology landscape. - This Staff Engineer has a deep, narrow expertise for specialized engineering technology expertise in Salesforce Marketing Cloud. Qualifications - Bachelor's degree in Computer Science or other technical field or equivalent work experience - 10+ years of experience in engineering environments, taking abstract concepts and ideas and formulating a detailed software engineering plan to deliver - Experience architecting software solutions with requirements such as performance SLOs, high availability, reliability, security, etc. - Understand data and system integration patterns and technologies - Proficiency in managing large scale projects - Ability to articulate and transfer complex ideas to a wide audience through both verbal and written communication - Strong conceptual, critical thinking, technical and problem-solving skills with good attention to details - Must be articulate and have the ability to meet with high level management to present and/or deliver technical documentation Requirements - Master’s degree in a related field (preferred) - Financial Services industry experience (preferred) - Coach / mentor other team members as appropriate (preferred) Benefits - Various bonuses (including, for example, annual or long-term incentives) - Medical, dental, and vision insurance - Health savings account - Flexible spending account - 401k - Pension - Life and accidental death and dismemberment insurance - Disability insurance - Supplemental protection insurance - 20 days of Paid Time Off each year - Sick and Safe Time - 10 paid company holidays - Volunteer Time Off - Paid parental leave - EAP - Well-being benefits - Other employee benefits