• Designs and Implements complex, mission-critical transformational enterprise grade technical solutions for clients. • Develops high quality deliverables and presentations for Client engineering teams and senior leaders. • Creates and presents solution designs, options, ideas, and innovations to clients’ senior leadership teams. • Develops and Maintains Technical Roadmaps and Innovation Plans. • Develops and Implements CI/CD solutions. • Establishes project estimates and plans, identifies risks and mitigations, oversees development and delivery of technical solutions. • Mentor and support project teammates • Actively lead collaboration within our technical communities • Up to 25% travel

• Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock. • Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics. • Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments. • Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production. • Drive best practices for observability, including monitoring, alerting, and logging for AI platforms. • Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types. • Stay current with new tools and technologies to recommend improvements to architecture and operations. • Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG).

• Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security • Build and maintain CI/CD pipelines and internal developer tooling to improve engineering velocity • Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Ansible • Define and enforce platform standards around observability, cost management, and incident response • Partner with application teams to support containerized workloads and resolve infrastructure bottlenecks • Collaborate with Customer Success teams by providing reliable and scalable tooling that supports seamless customer onboarding, integrations, and service delivery

• Ensure Midnite's reliability, performance, and availability. • Shape the evolution of the core platform and set engineering standards. • Drive improvements across infrastructure and backend systems. • Work closely with the Head Of Platform Engineering and the global Platform team. • Manage a small team of engineers, providing direction and coaching. • Regularly contribute code, reviews, and production changes.