Find Computer vision engineer Jobs in Dublin, D

Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Network Engineering Manager, EMEA
ByteDance —Dublin, County Dublin
- Computer Science
- English
- Bachelor's degree
Senior DevOps Engineer
Protex AI —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- DevOps
- AWS
AI Team Lead
Softworks —Bray, County Wicklow
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Annual leave
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
2d
Network Development Manager, Frontier Networking
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- AWS
- Bachelor's degree
11d
Sr. Data Scientist (Hybrid, IRE)
CrowdStrike —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Bachelor's degree
Cyber Security Architect
Eirgrid —Dublin, County Dublin
- Azure
- Computer Science
- Bachelor's degree
Quick apply
Senior Manager Data Architecture and AI
Aptiv plc —Dublin, County Dublin
- Azure
- Computer Science
- Java
- Gym membership
CAMO Engineer
Willis Lease Finance Corporation —Dublin, County Dublin
- Engineering
- Maintenance
- Microsoft Office
Head of Architecture and Engineering Operations
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Senior Software Developer - Authentication Team
Workday —Dublin, County Dublin
- €86,400–€129,600 a year
- Full-time
- Java
- Bachelor's degree
- Software development
SoC Validation/FPGA Engineer (Senior Engineer II)
Microchip Technology —Dublin, County Dublin
- Full-time
- C++
- Bachelor's degree
- AI
Senior OSI PI Engineer
NNIT A/S —Dublin, County Dublin
- Azure
- English
- SQL
HVAC Service Engineer
Munters Corp Ireland (MEI) —DUBLIN 24, County Dublin
- Full-time
- Microsoft Excel
- Sales
- Engineering
Quick apply
Manager, Security Engineering, Differentiated Security Team
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
4d
Senior Electrical Engineer
Mercury Engineering —Dublin, County Dublin
- English
- Bachelor's degree
- Organisational skills
Engineering Manager, Embedded Product Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Principal Engineer – Galway, Ireland (Hybrid )
Hadfield Green —DUBLIN 2, County Dublin
- Full-time
- C++
- AI

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Architect

TestReach -
Dublin, County Dublin

Apply Now

Job details

Qualifications

CI/CD
Azure
Computer Science
DevOps
Encryption
NoSQL
Google Cloud Platform
Master's degree
Microservices
SQL
AWS
Bachelor's degree
Distributed systems
SaaS
AI
Business

Full job description

Role Overview

The Architect at TestReach is responsible for defining and evolving the technical architecture of the TestReach platform, ensuring it is scalable, secure, resilient and aligned with long-term business objectives.

This role provides architectural leadership across engineering teams, guiding design decisions, reviewing implementations and ensuring consistency in standards and best practices. The Architect plays a critical role in balancing innovation, delivery speed, technical debt and long-term platform sustainability in a high-stakes online assessment environment.

This is a highly technical, hands-on role requiring deep architectural expertise and the ability to influence across distributed teams.

Key Responsibilities

Platform Architecture & Technical Strategy

Define and maintain the target architecture for the TestReach platform.
Establish architectural principles, standards and design patterns.
Ensure alignment between product strategy and technical direction.
Identify and mitigate architectural risks that may impact scalability or security.
Contribute to long-term technical roadmap planning.

Scalability, Reliability & Security

Ensure the platform supports high-volume, high-stakes exam sittings with strong uptime and performance.
Lead architectural decisions relating to performance, resilience and disaster recovery.
Embed security-by-design principles across systems.
Validate non-functional requirements (NFRs) including performance, availability, scalability and compliance.

Technical Leadership & Governance

Review and approve major technical designs and implementation approaches.
Provide guidance on complex architectural challenges and trade-offs.
Support engineering teams in resolving deep technical issues.
Promote consistency in engineering standards, documentation and code quality.
Help manage and reduce technical debt strategically.

Cloud & Infrastructure Architecture

Lead decisions relating to cloud architecture and infrastructure design.
Ensure best practices in CI/CD, observability, monitoring and deployment patterns.
Guide infrastructure scalability and automation strategies.
Evaluate and recommend tooling, frameworks and platforms.

Data & Integration Architecture

Define data architecture standards, including data flow, storage and governance.
Support integration architecture for enterprise clients and partner systems.
Ensure secure and efficient API design and external system connectivity.
Advise on data security, encryption and compliance requirements.

AI Architecture

Provide blueprint designs and strategic guidance on embedding AI/ML capabilities directly into our product suites, ensuring solutions are scalable, secure and seamlessly integrated into the core application logic.
Define the standards, rules and best practices for teams utilizing AI code generation tools (e.g., Cline, Open Router); mentor engineers on prompt engineering, code verification and maintaining high software quality in an AI-assisted development workflow.
Architect and oversee the integration of AI evaluation, automated testing and model validation steps directly into our CI/CD pipelines, ensuring safe, continuous and compliant deployment of both software and AI artifacts.
Act as the subject matter expert to upskill traditional software engineers in AI/ML concepts, bridging the gap between data science models and robust production-grade software engineering.
Establish architectural guardrails for monitoring AI performance, data privacy, model drift and cost optimization, coaching engineering teams on how to build observability into every AI-powered feature.

Collaboration & Cross-Functional Alignment

Work closely with Product, Engineering and Project Management to align architecture with delivery plans.
Act as a technical escalation point for complex design challenges.
Communicate architectural vision and decisions clearly to both technical and non-technical stakeholders.
Support pre-sales or enterprise discussions where architectural input is required.

Key Competencies and Skills

Ability to design long-term scalable solutions while enabling short-term delivery.
Deep technical credibility with the ability to influence engineering teams.
Strong understanding of distributed systems and platform design.
Identifies and mitigates architectural and operational risks proactively.
Works effectively across global, distributed teams.
Balances ideal architecture with business realities and timelines.

Experience and Qualifications

Education:

Bachelor's degree in Business, Computer Science, or a related field. A Master's degree is advantageous.

Experience:

8–10 years in software engineering, with significant experience in architectural roles.
Proven experience designing and evolving SaaS or cloud-native platforms.
Experience operating in high-availability, security-sensitive environments.
Strong background in distributed systems and scalable infrastructure.
Experience guiding engineering teams across multiple time zones or distributed structures.

Desirable

Experience in EdTech, secure testing platforms, or regulated SaaS environments.
Experience supporting enterprise-scale integrations.
Exposure to large-scale platform modernisation or transformation initiatives.

Technical Skills:

Deep knowledge of modern software architecture (microservices, event-driven systems, APIs).
Strong cloud architecture experience (AWS, Azure, or GCP).
Expertise in scalability, performance optimisation and resilience patterns.
Experience with CI/CD pipelines, infrastructure-as-code and DevOps practices.
Strong understanding of data architecture (SQL/NoSQL, caching, data pipelines).
Knowledge of security frameworks, encryption standards and compliance considerations.
Familiarity with observability, monitoring and performance tooling.

Apply Now

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computer vision engineer jobs in dublin, d