Technology & Product Executive
Engineering Leadership • Platform Strategy • Cloud Architecture
I’m a mission-driven technology leader with 15+ years of experience building, modernizing, and scaling mission-critical software platforms. I’ve led engineering organizations from early inception to 30+ employees, delivered long-lived enterprise systems across global teams, and defined multi-year product and technology roadmaps aligned with business strategy.
My background spans early-stage startups, enterprise product development at Microsoft, and building and leading a profitable software organization delivering complex platform systems in regulated and data-intensive domains.
More details:
👉 LinkedIn: https://www.linkedin.com/in/nicholasmtelliott
I specialize in durable systems and scalable platforms:
• Cloud-native architectures (AWS, IaC, containers, microservices)
• Enterprise integrations (SAP, Salesforce, distributed systems)
• Platform abstraction layers for multi-product ecosystems
• Observability and reliability systems (OpenTelemetry, metrics, tracing)
• Long-lived systems that evolve without rewrite
I care about systems that survive years — not demos that survive days.
Led the evolution of a regional sustainability tool into a globally deployed digital recommendation platform.
• Migrated legacy .NET Framework/Azure systems to AWS cloud-native architecture
• Implemented Infrastructure-as-Code (AWS CDK) to replace click-ops
• Designed microservice and event-driven architectures
• Integrated SAP, Salesforce, and multiple enterprise systems
• Established production observability (metrics, logs, traces)
• Completed SOC2 audit with minimal remediation
I’ve been actively integrating AI into both product capabilities and engineering workflows:
- Led development of AI-driven product features (e.g. proactive agronomic analysis and recommendation systems)
- Built AI-powered report generation pipelines for production systems
- Integrated LLM APIs (OpenAI, Anthropic, etc.) into enterprise applications
- Introduced AI-assisted development workflows across engineering teams
- Prototyped local model execution using tools like vLLM and Ollama
- Explored agentic workflows and automation patterns for internal platforms
I’m particularly interested in practical, production-ready uses of AI that enhance decision-making and developer productivity without sacrificing reliability or security.
Built and mentored globally distributed teams across the US, India, Brazil, Egypt, and Europe.
• Defined shared services and abstraction layers to eliminate duplication
• Coordinated cross-product platform alignment
• Transitioned mature systems to internal ownership for sustainability
I’ve worked extensively with modern observability stacks:
- OpenTelemetry instrumentation
- Distributed tracing (Tempo)
- Log aggregation (Loki)
- Metrics systems (Prometheus / Mimir)
- Visualization (Grafana)
I care deeply about making systems understandable, debuggable, and operable at scale—not just building them.
Before cloud-native was common, I worked on:
• Terabyte-scale weather data processing systems (early 2000s)
• Custom database performance optimizations
• Early mobile (Pocket PC) GPS-based geospatial applications
• Streaming web data before modern AJAX frameworks
I believe strong engineering organizations balance:
• Clear metrics with healthy culture
• Accountability with psychological safety
• Modern tooling with operational discipline
• Innovation with long-term sustainability
I build teams that ship — and systems that last.
- Cloud-native systems (AWS, Azure)
- Infrastructure as Code (AWS CDK)
- Containerized services (Docker, Fargate)
- Distributed workflows (Temporal)
- Event-driven architectures
- Observability (OpenTelemetry, Grafana, Loki, Tempo, Prometheus)
- API design and enterprise integrations (Salesforce, SAP, internal systems)
- High-scale data processing and caching (Redis)
I’ve spent most of my career translating complex, real-world operational systems into scalable software platforms.
Cloud & DevOps
• AWS (CDK, Fargate, Lambda, API Gateway, VPC)
• Docker & CI/CD pipelines
• Infrastructure as Code
• Distributed systems design
Backend & Systems
• .NET / .NET Core
• Node.js
• RESTful APIs
• Event-driven architectures
Data & Messaging
• SQL Server
• Redis
• RabbitMQ
• Temporal.io
Observability & Reliability
• OpenTelemetry
• Prometheus / Mimir
• Grafana
• Loki / Tempo
- AI-native internal platforms and developer tooling
- Agentic workflows and automation
- Practical applications of local vs hosted LLMs
- Improving engineering velocity with AI-assisted development
If you're interested in discussing engineering leadership, platform architecture, or scalable system design — feel free to connect.