# Mikael Danielian

> CTO and engineering executive with 15+ years in software engineering, plus an engineering leadership blog.

Mikael Danielian is a CTO and engineering executive who has progressed from software engineer through Engineering Manager, Senior Engineering Manager, and Director of Engineering to Chief Technology Officer. He works across technology strategy, software architecture, engineering delivery, organizational design, reliability, and practical AI adoption, with experience spanning fintech, trading, payments, real-time transactional platforms, digital entertainment, and large-scale consumer products. He is open to full-time engineering leadership roles, and also takes selected fractional CTO and VP of Engineering engagements, software architecture consulting, technical due diligence, and engineering team scaling work.

## Pages

- [CV](https://mikaeldanielian.com/cv): Full career history — CTO since August 2024, with prior roles as Director of Engineering, Senior Engineering Manager, Engineering Manager, and Senior Software Engineer. Includes scope, domains, and education.
- [Consulting](https://mikaeldanielian.com/consulting): Expert consulting on engineering leadership, scalable architecture, team building, and technical strategy.
- [Contact](https://mikaeldanielian.com/contact): Get in touch about a leadership role, an advisory engagement, or a technical decision.
- [Fractional CTO](https://mikaeldanielian.com/fractional-cto): Experienced Fractional CTO services — technical direction, engineering team leadership, and scalable growth without the full-time cost.
- [Fractional VP of Engineering](https://mikaeldanielian.com/fractional-vp-engineering): Fractional VP of Engineering services — delivery execution, team scaling, and engineering process establishment.
- [Software Architecture Consulting](https://mikaeldanielian.com/software-architecture-consulting): Expert software architecture consulting covering system design, microservices migration, architecture reviews, and API strategy.
- [Technical Due Diligence](https://mikaeldanielian.com/technical-due-diligence): Comprehensive technical due diligence and architecture reviews for founders, investors, and acquirers.
- [Engineering Team Scaling](https://mikaeldanielian.com/engineering-team-scaling): Expert guidance on scaling engineering teams from 10 to 100+, covering org design, hiring, culture, and operational frameworks.

## Blog

- [Turn Every Production Bug Into a Regression Test With AI](https://mikaeldanielian.com/blog/turn-production-bugs-into-regression-tests-with-ai.md): Do not use AI to generate more tests. Use it to turn confirmed production failures into verified regression tests that preserve what the engineering team learned.
- [AI Coding Agents Should Take an Issue to a Reviewable PR—Not Build the Feature](https://mikaeldanielian.com/blog/ai-coding-agent-issue-to-reviewable-pr.md): Do not ask an AI coding agent to build a feature. Give it a constrained task contract and make it return a small, tested pull request that an engineer can understand and safely review.
- [Error Budgets Are a Management Tool, Not an Engineering One](https://mikaeldanielian.com/blog/error-budgets-are-a-management-tool.md): Most error budgets die quietly because engineers introduced them with no authority behind them. The number only matters when it changes what leadership does. Here is how to wire budget burn into roadmap decisions, exec reviews, and feature-freeze conversations so it actually has teeth.
- [SRE Org Design: Centralized, Embedded, or Platform?](https://mikaeldanielian.com/blog/sre-org-design-centralized-embedded-or-platform.md): Centralized, embedded, or platform SRE? Each model solves a different problem and breaks in a different way. Here is how to pick one, and how to migrate when you outgrow it.
- [L1/L2/L3 at Scale: Where the Tiered Support Model Breaks](https://mikaeldanielian.com/blog/l1-l2-l3-at-scale-where-the-model-breaks.md): The tiered support model works beautifully until it doesn't. At enterprise scale, tickets stop flowing up the tiers and start flowing sideways. Here's exactly where L1/L2/L3 breaks, and the three patterns that replace it.
- [Your First SRE Hire Is Not Your Best Firefighter](https://mikaeldanielian.com/blog/your-first-sre-hire-is-not-your-most-senior-engineer.md): The instinct is to take the engineer who saves every outage and crown them SRE. That instinct is wrong. The skills that make someone great at firefighting are often the same ones that keep your systems fragile.
- [Engineering Process Audit: How to Assess Your Team's Health](https://mikaeldanielian.com/blog/engineering-process-audit.md): An engineering process audit is one of the highest-leverage things a leader can do. Here is a practical framework for running one, plus what good and bad actually look like.
- [Your First 90 Days as a Fractional CTO: A Practical Playbook](https://mikaeldanielian.com/blog/first-90-days-as-a-fractional-cto.md): The first 90 days set the tone for the entire engagement. Move too fast and the team resists. Move too slow and you lose credibility. Here is the playbook I follow.
- [Fractional CTO vs Full-Time CTO: Cost, Scope & When Each Makes Sense](https://mikaeldanielian.com/blog/fractional-cto-vs-full-time-cto.md): Most founders pick between a fractional and full-time CTO based on cost. That's the wrong way to choose. Here is a clearer way to think about it.
- [How Much Does a Fractional CTO Cost in 2026?](https://mikaeldanielian.com/blog/how-much-does-a-fractional-cto-cost.md): Fractional CTO pricing is all over the place. Here are the real numbers, the engagement models, and what actually drives the price up or down.
- [What is a Fractional CTO? And When Should You Hire One](https://mikaeldanielian.com/blog/what-is-a-fractional-cto.md): Most founders don't need a $300K full-time CTO. They need senior technical leadership a few days a week. Here's what a fractional CTO actually does and when to bring one in.
- [Building L1 That Resolves, Not Just Escalates](https://mikaeldanielian.com/blog/building-l1-that-doesnt-just-escalate.md): Most L1 teams become a forwarding service that adds latency and frustrates everyone. Here's what it takes to build a first line that actually resolves tickets — the tooling, the runbooks, and the incentives that produce real outcomes instead of gamed numbers.
- [When to Split Support From Engineering (Without Losing Context)](https://mikaeldanielian.com/blog/when-to-split-support-from-engineering.md): Somewhere between 20 and 150 engineers, most companies split support out of engineering and quietly break the feedback loop that made them good. Here is how to split without building a wall.
- [The Runbook Habit: How to Make Engineers Document While They Fix](https://mikaeldanielian.com/blog/the-runbook-habit.md): Engineers fix the same thing three times because the knowledge evaporates after every incident. Here's a runbook habit that survives contact with reality—built into how you resolve incidents, not bolted on as a chore.
- [Technical Debt: A CTO's Guide to Measurement, Prioritization & Reduction](https://mikaeldanielian.com/blog/how-to-reduce-technical-debt.md): Every engineering organization has technical debt. The ones that thrive are the ones that know exactly how much they carry, where it lives, and which slice is actively costing them money.
- [L1/L2/L3 Doesn't Exist at a Startup — But the Work Does](https://mikaeldanielian.com/blog/l1-l2-l3-doesnt-exist-at-a-startup.md): Your 8-person startup doesn't have support tiers. But the work those tiers represent still exists and still needs an owner. Here's how to handle it now and track it so you can split it cleanly when you grow.
- [Your First Support Hire Should Be a Generalist, Not a Specialist](https://mikaeldanielian.com/blog/first-support-hire-generalist-not-specialist.md): Most founders hire a career L1 support agent for their first support role and wonder why it doesn't scale. Here's why a curious generalist who can write docs and talk to engineers beats a ticket-closing specialist — and how to find one.
- [You Don't Need a Support Team Yet. You Need a Shared Inbox and a Rotation.](https://mikaeldanielian.com/blog/shared-inbox-and-rotation-before-support-team.md): Hiring a support person before you have 20 engineers is usually a mistake. Keep your engineers close to your customers, run a simple rotation, and learn to read the signals that tell you when it's finally time to hire.
- [When Does Your Startup Need a CTO?](https://mikaeldanielian.com/blog/when-does-your-startup-need-a-cto.md): Every founder faces this question eventually. Here's how to tell if you need a CTO now, should wait, or if a fractional engagement is the smarter first step.
- [DORA Metrics: A Practical Guide for Engineering Leaders](https://mikaeldanielian.com/blog/dora-metrics-engineering-leaders-guide.md): DORA's current model uses five software delivery metrics across throughput and instability. Here is how engineering leaders can measure them, interpret trends, and improve the delivery system without creating a dashboard people learn to game.
- [How to Scale Your Engineering Team from 10 to 100](https://mikaeldanielian.com/blog/how-to-scale-engineering-team-from-10-to-100.md): Most engineering leaders hit a wall somewhere between 10 and 30 people. Here's what actually works — from team topology to management promotion to staying technical without burning out.
- [CTO vs VP of Engineering: Two Roles, One Mission, Very Different Jobs](https://mikaeldanielian.com/blog/cto-vs-vp-of-engineering.md): How two complementary leadership roles — one focused on technical vision, the other on engineering execution — work together to scale a technology organization
- [Firing Engineers: A Manager's Guide to Doing It Right](https://mikaeldanielian.com/blog/how-to-fire-engineers-with-clarity-and-compassion.md): The cleanest way to let an engineer go isn't about being harsh—it's about giving honest feedback early, exiting decisively, and compensating generously so your team's velocity and trust remain intact.
- [The One Sprint Habit That Separates High-Performing Teams From the Rest](https://mikaeldanielian.com/blog/sprint-velocity-refinement-planning.md): Steady delivery in Scrum doesn’t come from working harder—it comes from smarter sprint prep. Discover how proper refinement and planning can stabilize your team’s velocity.
- [5 Advanced Metrics Every Development Team Lead Should Track](https://mikaeldanielian.com/blog/5-advanced-metrics-development-team-lead-track-performance.md): Discover the top 5 advanced metrics that help development team leads assess team performance beyond basic metrics. Learn about PR cycle time, escaped defects, MTTR, technical debt ratio, and code churn to optimize your team’s efficiency and code quality.
- [5 Basic Metrics Every Development Team Lead Should Track](https://mikaeldanielian.com/blog/5-key-metrics-development-team-lead-track-performance.md): As a development team lead, tracking the right metrics is crucial to measure team performance. In this article, we explore 5 essential metrics—velocity, cycle time, deployment frequency, bug rate, and lead time for changes—that help ensure your team is delivering value efficiently and maintaining high quality.
- [Hosting Strategies for Web Apps: When to Use AWS](https://mikaeldanielian.com/blog/aws-hosting-strategies-top-use-cases.md): Discover the top three use cases where AWS (or similar cloud services) is the best choice for hosting web applications, focusing on scalability, global availability, and serverless architectures.
- [When to Choose Monolith Over Microservices](https://mikaeldanielian.com/blog/when-to-choose-monolith-over-microservices.md): Choosing between a monolith and microservices is a critical architectural decision. This article explores key scenarios where a monolithic architecture is the smarter choice, helping engineering leaders balance complexity, scalability, and operational efficiency.
- [Top 3 Reasons to Use Microservices in Modern Software Development](https://mikaeldanielian.com/blog/top-reasons-to-use-microservices.md): Discover the top three reasons to adopt microservices architecture: independent scalability, faster development cycles, and flexibility for complex business requirements. Learn how microservices can help your teams build scalable, agile, and efficient systems.
- [Mastering Scrum: A Practical Guide to Starting and Succeeding](https://mikaeldanielian.com/blog/getting-started-with-scrum-a-director-of-engineerings-in-depth-guide.md): Scrum is an agile framework that helps teams manage complex projects efficiently through collaboration, timeboxing, and continuous improvement. This article explains how to get started, key ceremonies, advantages over other frameworks, and actionable tips to enhance team performance.
- [Unlocking Enterprise Agility with SAFe: A Leader’s Perspective](https://mikaeldanielian.com/blog/unlocking-enterprise-agility-with-safe-a-leaders-perspective.md): Explore the essentials of the Scaled Agile Framework (SAFe) and how it drives enterprise agility. Learn from a real-world case study and discover three practical tips for a successful rollout—executive support, targeted training, and incremental adoption.
- [Team Size and Efficiency in Software Development: Finding the Perfect Balance](https://mikaeldanielian.com/blog/team-size-and-efficiency-in-software-development-finding-the-perfect-balance.md): The ideal team size for software development is widely considered to be 5 to 9 members, backed by research and practical experience, as this range is thought to optimize efficiency and effectiveness—let’s explore the reasons behind this.
- [Switching Lanes: 3 Cases Where Kanban Outshines Scrum](https://mikaeldanielian.com/blog/switching-lanes-3-situations-where-kanban-outshines-scrum.md): I often face the challenge of deciding between Scrum and Kanban for my teams. Let’s talk about how I make that choice. It might help you figure out what’s best for your upcoming project.