Role Description We are looking for a Salesforce Marketing Cloud Consultant to design, implement, and optimize marketing automation solutions using Salesforce Marketing Cloud (SFMC). The role requires a blend of business consulting, campaign strategy, and technical expertise to deliver scalable, data-driven customer engagement solutions. Qualifications - Experience with Salesforce Marketing Cloud (SFMC) - Strong business consulting skills - Proficiency in campaign strategy development - Technical expertise in marketing automation solutions Requirements - Ability to deliver scalable, data-driven customer engagement solutions - Blend of business consulting and technical skills Benefits - Inclusive workplace culture - Opportunities for personal and professional growth - Commitment to well-being and individuality

• Design, operate, and continuously improve production-grade K8s clusters at the platform level. • Lead complex cluster lifecycle management, including: Version upgrades and dependency coordination Failure recovery and incident resolution Non-trivial maintenance and system evolution • Build and maintain highly reliable, scalable, multi-tenant infrastructure. • Build and maintain end-to-end observability for LLM-based systems using Grafana, LangFuse, and LangSmith — covering performance, latency, token usage, and alerting. • Architect and operate shared infrastructure across multiple teams and use cases. • Implement and enforce RBAC and access control models, Tenant isolation and security boundaries, Resource management and fairness at scale. • Ensure platform stability under diverse and competing workloads. • Operate and optimize vector database systems (Weaviate preferred) in production environments. • Support and scale Retrieval-Augmented Generation (RAG) systems. • Drive improvements in Query performance and latency, Cluster tuning and resource efficiency, Operational stability of retrieval pipelines. • Take technical ownership of production systems over time. • Build and maintain strong practices in Observability (metrics, logs, tracing), Incident response and root cause analysis, Long-term system health and resilience. • Proactively identify and resolve reliability risks. • Work closely with backend and GenAI engineers to ensure seamless integration with the platform.

• Support and maintain cloud infrastructure, applications, and platform services across AWS and Azure • Monitor platform health, performance, and reliability while troubleshooting infrastructure and deployment issues • Design, build, and maintain scalable Terraform infrastructure using Infrastructure as Code best practices • Develop reusable Terraform modules and deployment patterns for multi-environment and multi-account architectures • Build, support, and improve CI/CD pipelines and automated deployment workflows • Collaborate with development teams to support deployments, troubleshoot release issues, and improve operational processes • Partner with senior engineers on cloud architecture, scalability, resiliency, and modernization initiatives • Support cloud security standards, governance, backup/recovery, and disaster recovery initiatives • Improve reliability and operational efficiency through automation, monitoring, observability, and cost optimization • Participate in incident response, root cause analysis, and continuous improvement efforts • Create and maintain technical documentation, operational runbooks, and knowledge base articles • Work within issue and project tracking systems to document work and support collaboration • Participate in a shared on-call rotation

• Support and maintain cloud infrastructure using Infrastructure as Code • Assist with routine administration and maintenance of cloud environments • Monitor cloud platform health and troubleshoot operational issues • Apply cloud security best practices • Assist with application and infrastructure deployments • Create and maintain technical documentation • Collaborate with development teams and stakeholders