Upstart 13

• Help establish the company’s new visual identity from the ground up. • Create mood boards, visual references, and initial brand concepts. • Develop a complete brand book, including colors, typography, visual elements, and brand guidelines. • Design a modern, cohesive, and user-friendly company website in Figma. • Translate business and marketing objectives into clear visual concepts. • Create graphics and visual assets for social media, campaigns, and other digital channels. • Collaborate closely with the marketing lead throughout the creative and feedback process. • Prepare organized design files and specifications that can be handed off to a website developer. • Incorporate feedback efficiently while maintaining consistency across the brand. • Work quickly to help launch the website and marketing materials as soon as possible.

• Own and evolve the Azure-based API Platform that powers the company's compounding operations. • Operate private AKS clusters and implement admission controllers. • Enforce image signing and scanning within the CI/CD pipelines. • Design deployment strategies such as blue-green and canary rollouts with pre-deploy security gates. • Own cost optimization across all environments. • Maintain documented wake-up processes with defined SLAs. • Manage monitoring and observability tooling. • Lead cross-functional conversations (security, developers, CTO) about phased rollouts across subscriptions, bringing cost data, risk context, and an infrastructure plan that leaves everyone aligned. • Reframe problems strategically rather than just executing tasks.

• Own the end-to-end AI architecture across LLM orchestration, retrieval, enterprise data integration, and deployment. • Define architectural standards, best practices, and reusable AI patterns across the platform. • Evaluate architectural trade-offs involving latency, cost, model quality, scalability, security, and maintainability. • Define the long-term AI strategy in collaboration with the Delivery Lead and engineering leadership. • Design intelligent agent architectures, including tool calling, retrieval, planning, multi-step reasoning, and state management. • Design AI integrations with enterprise data platforms, semantic models, APIs, and knowledge repositories. • Define AI evaluation strategies covering quality, hallucination detection, grounding, latency, and cost optimization. • Design observability and monitoring capabilities for AI applications, including prompt performance, model behavior, and operational telemetry. • Collaborate with cloud infrastructure and security teams to ensure secure, resilient, and compliant deployments. • Contribute directly to proof-of-concepts and critical implementation efforts when needed.

• Own and operate our Azure production platform, enabling secure, reliable application delivery across Production and Non-Production environments. • Build and run enterprise Azure foundations (Landing Zone, networking, identity/governance). • Operate production AKS and deliver secure API ingress and CI/CD release controls with strong observability and incident ownership. • Build and maintain reusable, production-grade IaC modules covering networking, security, AKS, APIM, Key Vault, monitoring, storage, and application services. • Support hub-spoke patterns, environment segmentation, RBAC, Azure Policy, tagging standards, and governance controls across Prod/Non-Prod. • Design and troubleshoot VNets, subnets, NSGs, UDRs/route tables, Load Balancers, NAT Gateway, Private Endpoints, Private DNS, and secure inbound/outbound traffic patterns. • Implement secure ingress and API delivery using APIM, Application Gateway, Front Door, and WAF, including TLS, OAuth2/OIDC/JWT validation, rate limiting/throttling, IP filtering, and private backend connectivity. • Support Azure Event Hubs (Kafka-compatible) for event-driven services, including throughput planning, monitoring, partitions/consumer groups, and secure access patterns. • Build multi-stage Azure DevOps YAML pipelines for Dev/QA/Staging/Prod with approvals, validation gates, deployment controls, and rollback strategies for both infrastructure and applications. • Maintain reliability using Azure Monitor, Log Analytics, Application Insights, and Container Insights; lead incident response and RCA with documented remediation and preventive controls. • Partner with engineering teams on deployment patterns, pipeline integration, and operational best practices.

• Own end-to-end architecture for the engagement, from agent orchestration through data integration to deployment • Define architectural standards and ensure consistency across backend, UI, data, and infrastructure layers • Set long-term technical direction in coordination with the Delivery Lead • Design for multi-tenant deployment and repeatable team onboarding • Maintain architectural decision records and standards documentation • Architect the engagement’s cloud environment across identity, networking, compute, storage, and monitoring • Drive adoption of CI/CD, infrastructure-as-code, and evaluation-in-pipeline for LLM components • Review and contribute to agent orchestration, tool integrations, and retrieval pipelines • Mentor engineers on agentic AI patterns, Microsoft platform conventions, and architectural reasoning

• Own the full lifecycle of our Azure production environment and provide expert support to our development teams. • Design, build, and operate a secure, scalable infrastructure using Bicep for IaC. • Manage complex services like AKS, APIM, and Event Hubs. • Ensure operational excellence, high availability, and seamless CI/CD integration for fast and safe application delivery. • Implement and manage Azure API Management (APIM), Azure App Gateway, and Azure Front Door. • Deploy and operate containerized workloads on Azure Kubernetes Service (AKS). • Support and manage Azure Event Hubs for real-time data streaming. • Own the reliability of the Azure environment by monitoring health via Azure Monitor and Application Insights. • Enforce Azure Security services, including Entra ID RBAC, Managed Identities, Azure Key Vault, and Azure Policy.

• Implement and maintain scalable features using Node.js and React. • Collaborate closely with product managers and other developers to clarify requirements and deliver solutions. • Ensure code quality through best practices like testing, code reviews, and documentation. • Investigate and resolve bugs, performance bottlenecks, and edge cases in both frontend and backend systems. • Take ownership of technical decisions and actively contribute to architectural discussions. • Work independently and efficiently in a remote environment with partial time zone overlap (EST).

• Design and maintain production-grade Azure infrastructure using Bicep, ensuring all resources from networking to application services are managed as code. • Implement and manage Azure API Management (APIM), Azure App Gateway, and Azure Front Door to ensure secure, scalable, and high-performance application delivery. • Deploy and operate containerized workloads on Azure Kubernetes Service (AKS), including cluster optimization, Helm chart management, and advanced networking configurations. • Support and manage Azure Event Hubs with Kafka protocol support for real-time data streaming and event-driven microservices. • Develop end-to-end YAML pipelines in Azure DevOps for automated provisioning and application deployment, integrating gates and automated testing. • Own the reliability of the Azure environment by monitoring health via Azure Monitor and Application Insights, leading incident response, and performing Root Cause Analysis (RCA). • Enforce Azure Security services, including Entra ID (Azure AD) RBAC, Managed Identities, Azure Key Vault for secrets, and Azure Policy for governance and compliance. • Collaborate with developers to integrate code into pipelines, manage Git branching strategies, and provide mentorship on cloud-native best practices. • Managing all required environments: Primary Environment (Production) and Secondary Environments (Non-Prod).

• Own the full lifecycle of our Azure production environment and provide expert support to our development teams. • Design and maintain production-grade Azure infrastructure using Bicep, ensuring all resources from networking to application services are managed as code. • Implement and manage Azure API Management (APIM), Azure App Gateway, and Azure Front Door to ensure secure, scalable, and high-performance application delivery. • Deploy and operate containerized workloads on Azure Kubernetes Service (AKS), including cluster optimization, Helm chart management, and advanced networking configurations. • Support and manage Azure Event Hubs with Kafka protocol support for real-time data streaming and event-driven microservices. • Develop end-to-end YAML pipelines in Azure DevOps for automated provisioning and application deployment, integrating gates and automated testing. • Own the reliability of the Azure environment by monitoring health via Azure Monitor and Application Insights, leading incident response, and performing Root Cause Analysis (RCA). • Enforce Azure Security services, including Entra ID (Azure AD) RBAC, Managed Identities, Azure Key Vault for secrets, and Azure Policy for governance and compliance. • Collaborate with developers to integrate code into pipelines, manage Git branching strategies, and provide mentorship on cloud-native best practices.

• Design and implement AI‑powered workflows such as agents, assistants, and tool‑enabled services. • Build and maintain backend services using modern web frameworks and server‑side languages. • Implement RAG‑style retrieval systems and contribute to prompt engineering and model interaction patterns. • Integrate LLMs into production environments and develop scalable service layers around model inference and orchestration. • Work with vector search technologies and embedding pipelines where needed. • Design and operate ETL/ELT pipelines for batch, streaming, or hybrid workloads. • Model data for analytics and application needs using best practices in schema design and storage optimization. • Implement data quality, validation, auditing, and observability mechanisms. • Ensure secure, reliable connectivity across cloud, on‑premise, and hybrid environments. • Collaborate to define semantic business logic, reusable metrics, and shared data assets. • Design and implement scalable APIs (REST, Queues, Events). • Build integrations that connect AI systems to external applications, services, or platforms. • Implement secure patterns for authentication, authorization, and secrets management. • Ensure the overall backend architecture remains modular, maintainable, and extensible. • Write and optimize complex queries across relational and NoSQL databases. • Design efficient schemas, indexing strategies, and caching solutions to support high‑performance AI/data workloads. • Conduct load/performance testing and implement safeguards to meet system reliability targets. • Conduct and lead data Governance and data security best practices. • Architect and implement systems for scalability, reliability, and security across backend and data layers. • Add and maintain observability (logs, metrics, traces), alerting, and runbooks. • Contribute to CI/CD, automation, and environment‑based deployments. • Comply with privacy and security norms and rules such as PII, HIPAA, SOC 2 Type 2, or similar. • Work with AI researchers to produce models and evaluate performance. • Collaborate with the Solution Architect to align designs with long‑term architecture. • Partner with Product to translate AI and data capabilities into meaningful user features. • Stay informed on emerging AI, backend, and data engineering technologies and share knowledge with the team.