Daniel Mcconn
Daniel Mcconn

Senior Full Stack Developer - AI

Actively looking · Member since 21 Oct 2026
Location
Dublin, Ireland
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Senior

About

Professional summary

I am a Senior Full Stack Developer with more than seven years of experience building production web platforms, backend services, and AI-enabled systems. I specialize in scalable, reliability-first architectures and enjoy taking ownership of system design through delivery and operations.

I have hands-on expertise in Go, Python, TypeScript, Node.js, React, Kubernetes, Docker, and multi-cloud infrastructure across AWS and GCP. I build resilient APIs, distributed services, data pipelines, and platform capabilities that perform reliably under variable load.

I am experienced in infrastructure as code, CI/CD, observability, and incident response. I use Terraform, GitHub Actions, Prometheus, Grafana, PostgreSQL, and object storage to create repeatable deployments and operationally mature systems.

I work closely with product, SRE, security, data engineering, and operations teams to make practical architecture decisions. I write design documents, runbooks, postmortems, and decision records that clarify tradeoffs involving performance, cost, reliability, and operational complexity.

I am particularly motivated by platform-level challenges involving Kubernetes orchestration, distributed systems, real-time ML features, and multi-cloud delivery. I am seeking a senior engineering opportunity where I can apply deep systems thinking and mentorship skills to build dependable products at scale.

Skills

33 capabilities

Tech stack & tools

Working toolkit

Analytics

Application Hosting

Data Stores

Monitoring

Experience

Career history

Senior Full Stack Developer - AI CUSTOMER.IO

Owned the design and delivery of an AI-driven message-personalization service. Built resilient Go services deployed to Kubernetes across AWS and GCP, including a production inference API with gRPC endpoints, PostgreSQL feature pipelines, and S3-hosted model artifacts.

Led multi-cloud deployment strategy, Terraform provisioning, Kubernetes operator-style reconciliation, autoscaling instrumentation, and canary rollout practices. Collaborated with SRE, security, and data engineering teams on RBAC, secrets lifecycle management, feature lineage, backpressure handling, observability, incident postmortems, and reusable Go libraries for metrics and structured logging.

Senior Full Stack Developer SEENONS

Architected backend services for a logistics SaaS platform using Go, Node.js, PostgreSQL, and Kubernetes. Designed eventing and telemetry pipelines for vehicle and job-state updates, using durable S3 object-storage patterns and stream-based ingestion for ordered, recoverable processing.

Migrated a monolithic billing workflow into a multi-tenant service and implemented CI/CD infrastructure with GitHub Actions and Terraform. Improved Kubernetes stability through resource tuning and liveness probes, built TypeScript and Node.js internal SDKs, optimized PostgreSQL queries, and implemented RBAC and centralized secrets handling.

Full Stack Engineer Paddle

Built and maintained billing and checkout services for a payments platform, developing Node.js backend APIs and PostgreSQL schemas to support transactional integrity, auditing, and external payment gateway interactions.

Contributed to reliability initiatives by containerizing services with Docker, deploying workloads to Kubernetes, and supporting autoscaling and Prometheus-based observability. Improved background processing, idempotency controls, CI pipelines, static analysis, contract testing, multi-region storage planning, and compliance documentation for sensitive data.

Software Engineer PHOREST

Developed customer-facing web features and internal tools in a full stack role using TypeScript, Node.js, and relational databases. Designed normalized schemas and optimized PostgreSQL queries to improve reporting performance and data consistency.

Helped migrate legacy services to Docker-based deployments and introduced orchestration practices for staging environments. Added monitoring, alerting, logging, and metrics for critical application flows, while partnering with product designers and QA teams to deliver high-quality iterative releases and improve engineering onboarding.

Education

Learning history

University of Limerick

MSc, Software Engineering

University of Limerick

BSc, Computer Systems

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