Gailad Chesa Engineering Leadership OS Let's Talk

Selected engineering work

Engineering challenges shaped by leadership decisions and measured by outcomes.

A selection of complex engineering challenges I’ve led across platform modernisation, distributed systems, AI enablement, engineering effectiveness, security and organisational transformation.

These case studies focus on the problem, decisions, leadership and outcomes rather than proprietary implementation details.

Engineering Leadership · Architecture · AI · Platforms · Transformation

Explore the work ↓

Featured

Where the constraint was not obvious

I lead engineering organisations through complex technology problems—scaling platforms, modernising systems, improving engineering effectiveness and helping teams adopt AI safely and effectively.

Fintech Payments

Scaling a High-Volume Payments Platform

A consumer payments platform was approaching throughput limits across instant mobile and EFT payment rails, and needed significant improvements in scalability, resilience and processing performance — without ever putting customer money in doubt.

13K → 32K

Transactions per day across instant and EFT rails

Roughly 2.5× sustained capacity, with resilience and settlement integrity preserved

My roleLed the engineering effort within the Payments team across technical strategy, architecture, prioritisation and delivery. Partnered with senior engineers to identify processing bottlenecks across each payment rail and introduce a more scalable approach to asynchronous, distributed transaction processing.

Fintech Payments Banking Integrations Distributed Systems Event-Driven Architecture

AI Engineering

Building an AI-First Engineering Operating Model

AI development tools were being adopted across engineering teams, but usage stopped at the coding step and varied team to team — creating inconsistent quality, security, governance and repeatability, and no measurable engineering value to point at.

1× → 3×

Project execution and delivery speed

Averaged across participating teams, from inception and ideation through to rollout

My roleDesigned and introduced an AI-First approach across multiple engineering teams, covering the full delivery lifecycle — inception, ideation, design, build, verification and rollout — rather than treating AI as an autocomplete tool inside the coding step alone.

AI Engineering Developer Experience Engineering Productivity TDD DevSecOps

Platform Modernisation

Modernising Legacy Technology Without Disrupting the Business

A mature technology estate contained legacy frameworks, applications and components that created increasing maintenance, security and engineering productivity risks.

My roleLed and influenced modernisation strategy, architecture decisions, prioritisation and technical-risk management while ensuring business-critical capabilities continued operating throughout the transformation.

Modernisation Architecture Technical Debt Platform Engineering Risk Management

Fintech & Blockchain

Accepting FIAT and Crypto, Issuing Share Contracts On-Chain

A private members' club needed to accept share purchases from its members in both traditional currency and crypto, and to give each member a verifiable record of what they owned — across two settlement models that have almost nothing in common.

3 FIAT + 2 crypto

Settlement assets behind a single share-purchase flow

Every purchase produced its own Solidity contract on the Ethereum Virtual Machine

My rolePart of the team that built and maintained the platform end to end: payment acceptance across FIAT and crypto rails, the member share-purchase flow, and the generation and deployment of a Solidity smart contract for every purchase to the Ethereum Virtual Machine.

Fintech Blockchain Smart Contracts Solidity Ethereum

Platform Engineering

Turning Integrations Into a Repeatable Engineering Capability

New external integrations traditionally required significant specialist engineering effort, creating scalability constraints and knowledge concentration around a small number of senior engineers.

My roleLed the engineering strategy for introducing reusable patterns, tooling and code-generation capabilities that reduced repetitive integration work and made implementation accessible to a broader range of engineers.

Platform Engineering Automation APIs Integration Architecture Developer Experience

Engineering Leadership

Building a Measurable Engineering Operating Model

Engineering teams were delivering software, but inconsistent engineering practices made delivery predictability, technical health and continuous improvement difficult to measure.

My roleIntroduced and strengthened engineering practices designed to create predictable delivery, stronger quality and greater ownership while avoiding unnecessary process overhead.

Engineering Leadership DORA Engineering Effectiveness Developer Experience Continuous Improvement

Enterprise SaaS

Leading Multi-Region SaaS Delivery

Deliver a significant platform capability across multiple production regions while maintaining service reliability and supporting users through early production adoption.

My roleLed engineering delivery across planning, architecture discussions, release readiness, deployment coordination, production support and post-release stabilisation.

Enterprise SaaS Cloud Reliability Multi-Region Engineering Leadership

Security Engineering

Moving Security Into the Engineering Workflow

Security controls are often introduced late in the development lifecycle, increasing remediation costs and creating friction between delivery and security teams.

My roleInfluenced and strengthened approaches that shift security controls earlier into engineering workflows so secure development becomes part of normal delivery.

DevSecOps Security Automation Engineering Governance Shift Left

Scale

Engineering at scale

Signals of the environments and systems where this work happens — not a résumé scoreboard.

15+

Years software engineering

6+

Years engineering leadership

~2.5×

Transaction throughput improvement

~3×

Delivery speed, AI-first teams

Method

How I approach engineering challenges

The objective isn't simply to deliver more software. It's to continuously improve the organisation's ability to deliver valuable software.

  1. 01

    Understand the System

    Understand the business objectives, architecture, teams, dependencies, constraints and customer impact.

  2. 02

    Find the Constraint

    Identify what is genuinely preventing the engineering organisation or platform from moving forward.

  3. 03

    Design for Leverage

    Use architecture, platforms, automation, engineering practices or organisational change to remove that constraint.

  4. 04

    Deliver Incrementally

    Prefer measurable progress over transformation programmes that take months before producing value.

  5. 05

    Measure the Outcome

    Measure reliability, delivery performance, engineering health, quality, security and customer/business outcomes.

Capability

Technology I’ve worked across

Technology is a means of creating leverage—not the outcome itself.

Architecture

Distributed Systems · Microservices · Event-Driven Architecture · REST APIs · Multi-Tenant SaaS

Cloud

AWS · Microsoft Azure

Engineering

.NET · C# · PHP · Python · JavaScript · Node.js · React · Angular

Data & Messaging

MySQL · SQL · Kafka · Data Pipelines

Engineering Platforms

CI/CD · Containers · Observability · DevSecOps · Engineering Automation

AI

LLMs · Agentic Systems · RAG · AI Engineering Workflows · AI Governance · Engineering Agents

Working on a difficult engineering problem?

I’m interested in problems where technology creates leverage.

Whether the challenge is scaling an engineering organisation, modernising a platform, improving software delivery, introducing AI into engineering workflows or shaping technology strategy, I enjoy working at the intersection of technology, people and business outcomes.

Explore my engineering playbook Connect with me

Read my perspective on AI-first engineering