We're looking for a Senior Software Engineer with a passion for AI to join a growing development team in Ireland on a fully remote basis. The role itself will be building and scaling production-grade AI systems powering real-time applications and high-volume data pipelines.

This role is ideal for someone passionate about AI infrastructure, modern cloud-native engineering, and building reliable LLM-powered services at scale. You’ll work in a highly collaborative environment using modern DevOps practices, Infrastructure-as-Code, and agentic development tools to deliver impactful solutions quickly and safely.

<h3>Key Responsibilities</h3>

<ul>
	<li>Build and maintain LLM-powered services and retrieval workflows.
	<li>Design scalable cloud infrastructure and event-driven systems.
	<li>Implement Infrastructure-as-Code and modern CI/CD practices.
	<li>Improve reliability, monitoring, and operational excellence across AI services.
	<li>Collaborate across engineering and product teams to deliver secure, scalable solutions.
</ul>

<h3>Requirements</h3>

<ul>
	<li>Strong background in building distributed systems in production environments.
	<li>Experience working with modern AI/ML platforms and LLM applications.
	<li>Deep cloud and container orchestration experience.
	<li>Strong Python skills; additional backend experience is beneficial.
	<li>Familiarity with vector search, observability tooling, and DevOps practices.
</ul>

<h3>What’s Offered</h3>

<ul>
	<li>Work on cutting-edge AI products and infrastructure.
	<li>Flexible, collaborative engineering culture.
	<li>Opportunity to shape scalable AI systems in a fast-moving environment.
</ul>

AI Engineer 

The Company 
This elite quantitative trading firm specializes in deploying sophisticated algorithmic strategies across global equity and futures markets. Known for a high-performance culture that merges deep scientific research with world-class engineering, they manage a massive-scale production environment where precision and reliability are the primary benchmarks for success. The firm prioritizes technical excellence and constant iteration, providing a "zero-legacy" playground for engineers who want to see their work directly impact market liquidity and returns. 
 
The role is open to anyone currently based in, or happy to relocate to Hong Kong, Singapore, Shanghai, Beijing, or New York. 
 

The Role 
As a Quantitative Product Development Engineer, you will own the reliability and performance of a live trading environment. You will act as the critical link between Quantitative Researchers and the production markets, facilitating the seamless deployment and optimization of complex trading strategies. This is a high-stakes engineering role where you will manage the full product lifecycle—from system architecture and performance tuning across the hardware stack to real-time incident response during active trading hours. 
 

Requirements

<ul>
	<li>
	Bachelor’s degree or higher in Computer Science or a related technical field.
	
	<li>
	Minimum of 2 years of professional experience in high-complexity, mission-critical environments.
	
	<li>
	Deep proficiency in the Linux operating system and modern engineering practices (Git, CI/CD, Code Review).
	
	<li>
	Strong technical proficiency in C++ with a scripting language, or Python 3 combined with a strongly typed language (e.g., Java, Go, Rust).
	
	<li>
	Fluency in both English and Chinese to collaborate effectively within a global, multilingual team.
	
	<li>
	A genuine interest in quantitative trading and the technical methods used to enhance service reliability. 
	 
	
</ul>

Why Join?

<ul>
	<li>
	Direct Strategy Impact: Work side-by-side with researchers to deploy strategies that generate substantial global returns.
	
	<li>
	Technical Sovereignty: Optimize trading systems across the entire stack—computation, storage, networking, and hardware.
	
	<li>
	Elite Peer Group: Join a team that values top-tier competitive experience (e.g., ACM/ICPC or NOI/NOIP winners).
	
	<li>Engineering Excellence: Build and maintain high-performance developer tools and systems where technical quality is never compromised.
</ul>

 
Stay connected with me about latest opportunities and updates on LinkedIn: <a href="https://www.linkedin.com/in/wyatt-yeung/" target="_blank">https://www.linkedin.com/in/wyatt-yeung/</a>

Quantitative Product Development Engineer – Leading Quantitative Trading Firm

The role is open to anyone currently based in, or happy to relocate to Hong Kong, Singapore, Shanghai, Beijing, or New York. 
 
The Company 
 
Headquartered in Asia with key hubs in Singapore, Hong Kong, and New York, this technology-driven trading firm manages close to USD 3 billion in assets. Founded by an elite group of graduates from Stanford, CMU, and Tsinghua, the organization merges advanced AI and machine learning to drive automated investment strategies. They are currently scaling their global data infrastructure to support massive, high-fidelity datasets and complex model training pipelines in a "zero-legacy" technical environment.

The Role 
 
As the Market Data Lead, you will spearhead the design and optimization of a high-throughput platform handling real-time and historical feeds from global exchanges. You will bridge the gap between international data vendors and internal quantitative researchers, ensuring the delivery of low-latency, high-precision data that powers the firm’s competitive edge in the global markets.
 
Requirements

<ul>
	<li>
	5+ years of experience in market data engineering within a quantitative trading or hedge fund environment.
	
	<li>
	Strong proficiency in C++ with extensive experience in high-performance computing and network data processing.
	
	<li>
	Familiarity with market data protocols (e.g., ITCH) and the data structures of major global exchanges.
	
	<li>
	In-depth understanding of pcap data processing and the ability to develop efficient parsing tools.
	
	<li>
	Proven team leadership skills with a profit-driven mindset and strong business acumen.
	
	<li>
	Ability to collaborate closely with research and trading teams to provide optimized data solutions.
	
	<li>
	Bachelor’s degree or higher in Computer Science, Financial Engineering, or a related quantitative field.
	
</ul>

<h3> </h3>
Why join?

<ul>
	<li>
	Elite Technical Team: Work alongside top-tier engineers and researchers from the world's leading academic institutions.
	
	<li>
	Cutting-Edge Stack: Utilize a modern, cloud-native infrastructure optimized for AI-driven quantitative research without technical debt.
	
	<li>
	Ownership & Influence: Lead a critical function that directly impacts the firm's global trading performance and expansion.
	
	<li>
	Agile Culture: Benefit from a "flat" organizational structure that values technical excellence and rapid execution.
	
	<li>
	Competitive Incentives: Enjoy a high-performance bonus structure within a rapidly growing, multi-billion dollar fund.
	
	<li>Global Footprint: Lead the scaling of data architecture as the firm expands its reach across the US and APAC markets.
</ul>

 
Stay connected with me about latest opportunities and updates on LinkedIn: <a href="https://www.linkedin.com/in/wyatt-yeung/" target="_blank">https://www.linkedin.com/in/wyatt-yeung/</a>

Low Latency Market Data Lead - Fast-Growing Global Quantitative Trading Firm

The Company 
This technology-driven trading firm, with a major presence in Singapore, New York, and Hong Kong, manages close to USD 3 billion in assets. Founded by an elite group of graduates from Stanford, CMU, and Tsinghua, the organization merges advanced mathematics with cutting-edge AI to drive automated investment strategies. They operate a "zero-legacy" technical environment, focusing on continuous optimization of machine learning algorithms to deliver sustainable returns in global equity markets. 
 

The Role 
As a Quantitative Researcher, you will lead the discovery and modeling of short-horizon statistical signals across massive equity universes. You will leverage high-frequency tick-level and order book data to identify transient inefficiencies and arbitrage opportunities. This is a high-impact role within a dedicated Alpha team, focusing on the end-to-end research lifecycle from signal discovery to production deployment. 
 

Requirements

<ul>
	<li>
	Open to candidates at both junior and senior levels with experience in alpha research or quantitative signal development., specifically within intraday or short-horizon equity strategies.
	
	<li>
	Deep expertise in market microstructure, order flow dynamics, and execution-related features.
	
	<li>
	Strong programming skills in Python or C++, with fluency in handling large-scale, high-frequency datasets.
	
	<li>
	Proven experience in cross-sectional modeling and statistical arbitrage frameworks across global equities.
	
	<li>
	Advanced degree (MS/PhD) in a quantitative field such as Mathematics, Physics, Statistics, or Computer Science.
	
	<li>
	Knowledge of execution-aware signal design, including slippage modeling and alpha decay analysis.
	
	<li>
	Track record of developing successful signal ideas that have contributed to live PnL. 
	 
	
</ul>

Why Join?

<ul>
	<li>
	Elite Research Environment: Work alongside top-tier talent from the world's leading academic and technical institutions.
	
	<li>
	Cutting-Edge Technology: Access a modern, cloud-native infrastructure optimized for high-frequency AI research without technical debt.
	
	<li>
	Pure Research Focus: Focus on predictive modeling and alpha discovery while collaborating with specialized engineering and trading teams for deployment.
	
	<li>
	Global Market Exposure: Develop and deploy strategies across diverse global equity markets, including the US, APAC, and EMEA.
	
	<li>
	Flat & Agile Culture: Benefit from a collaborative, meritocratic environment that values rapid execution and technical excellence.
	
	<li>
	Significant Growth: Join a rapidly expanding firm that is scaling its footprint and assets under management globally. 
	 
	
</ul>

Stay connected with me about latest opportunities and updates on LinkedIn: <a href="https://www.linkedin.com/in/wyatt-yeung/" target="_blank">https://www.linkedin.com/in/wyatt-yeung/</a>

Quantitative Researcher (Intraday Equities Alpha) – Premier Quantitative Trading Firm 

The Company 
This leading global strategic advisory firm is redefining the consulting landscape by integrating high-level human expertise with advanced artificial intelligence. Operating at the intersection of complex data and specialized insights, the organization has launched a dedicated AI department to build an enterprise-scale "Virtual AI Lab".

The firm is currently scaling its technical capacity to process over 100,000 documents per day using state-of-the-art LLMs, creating a "zero-legacy" environment where AI is the core driver of operational efficiency and client value. 
 

The Role 
As a Senior AI Infrastructure Engineer, you will be the primary architect for the Azure-based platform powering the firm’s AI and data-pipeline workloads. You will lead the design and implementation of modular, IaC-first infrastructure, setting the global standard for Terraform, GitOps, and observability. This is a high-impact position where you will partner directly with AI Systems Architects to build the foundation for next-generation document processing and LLM integration. 
 

Requirements

<ul>
	<li>
	8+ years of experience in infrastructure, platform, or distributed-systems engineering.
	
	<li>
	Hands-on mastery of Microsoft Azure (AKS, Entra ID, Key Vault, and Azure Monitor).
	
	<li>
	Deep expertise in Terraform or OpenTofu with a focus on modular design and GitOps-driven workflows using ArgoCD or Flux.
	
	<li>
	Proven experience deploying AI/ML pipelines utilizing frameworks like Haystack, LangChain, or LangGraph.
	
	<li>
	Strong proficiency in Python or Go, particularly for optimizing GPU workloads and AI compute.
	
	<li>
	Technical understanding of OpenTelemetry for defining SLOs and monitoring AI-cost telemetry.
	
	<li>
	Experience ensuring the secure handling of sensitive data through encryption, least-privilege access, and audit logging. 
	 
	
</ul>

Why Join?

<ul>
	<li>
	Scale and Sophistication: Build a platform capable of processing massive document volumes using the latest models from OpenAI and Anthropic.
	
	<li>
	Greenfield Engineering: Lead an IaC-first build, enforcing policy-as-code and modern observability practices from the ground up.
	
	<li>
	High-Visibility Impact: Bridge the gap between experimental AI prototypes and enterprise-scale production systems.
	
	<li>
	Elite Technical Squad: Collaborate with a distributed, expert team focused on the intersection of legal, regulatory, and technical data.
	
</ul>

 
Stay connected with me about latest opportunities and updates on LinkedIn: <a href="https://www.linkedin.com/in/wyatt-yeung/" target="_blank">https://www.linkedin.com/in/wyatt-yeung/</a>

Senior AI Infrastructure Engineer – Global Strategic Advisory & Consulting Firm

The Company 
This Hong Kong-based AI powerhouse has transitioned from a specialized IDP provider into a dominant force in enterprise automation. Processing millions of documents annually for global firms, they are now leveraging their data advantage to launch a "zero-legacy" AI Agent Studio. This function is designed to move beyond simple automation into autonomous agentic systems that redefine corporate operations. 
 

The Role 
As a Product Manager, you will lead the evolution of this new vertical from ideation to global delivery. You will act as the strategic bridge between enterprise C-suite clients and an elite engineering squad, translating complex business friction into seamless AI roadmaps. This is a high-visibility leadership opportunity to define how autonomous agents function at scale within the built environment and professional services. 
 

Requirements

<ul>
	<li>
	Proven track record in Product Management within an AI-first or high-growth SaaS environment.
	
	<li>
	Deep technical literacy in LLM orchestration, RAG, and Agentic Workflows.
	
	<li>
	Hands-on experience with modern prototyping and development tools like Cursor or Claude Code.
	
	<li>
	Experience managing complex stakeholder relationships, particularly at the executive level.
	
	<li>
	Strategic mindset with the ability to validate product-market fit rapidly through iterative prototyping. 
	 
	
</ul>

Why Join?

<ul>
	<li>
	Scale-Up Velocity: Join a profitable, HK-founded firm during its most aggressive global expansion phase.
	
	<li>
	Cutting-Edge Stack: Work directly with the latest in autonomous agent frameworks and generative AI.
	
	<li>
	High Visibility: Lead a product vertical that is the cornerstone of the company’s 2026 strategy. 
	 
	
</ul>

Stay connected with me about latest opportunities and updates on LinkedIn: <a href="https://www.linkedin.com/in/wyatt-yeung/" target="_blank">https://www.linkedin.com/in/wyatt-yeung/</a>

Product Manager – AI Agentic Workflows & Enterprise Automation

Senior Data Engineer (Java)

Dublin (Hybrid)

Permanent

 

Role Overview

An established organisation operating in the financial services domain is seeking a highly skilled Senior Data Engineer with strong Java development expertise. The successful candidate will play a key role in designing, building, and maintaining scalable data pipelines and backend systems that support business‑critical data platforms, analytics, and regulatory reporting.

 

Key Responsibilities

<ul>
	<li>Design, develop, and maintain scalable data pipelines and ETL processes
	<li>Build and enhance robust backend services using Java (8/11/17)
	<li>Work with large-scale data processing frameworks such as Apache Spark and Hadoop
	<li>Develop and optimise both real-time and batch data processing systems
	<li>Integrate data from multiple internal and external sources, including high‑volume transactional and analytical systems
	<li>Ensure data quality, governance, and compliance in line with industry regulations
	<li>Collaborate with cross‑functional stakeholders such as engineers, analysts, and data scientists
	<li>Drive improvements in system performance, scalability, and reliability
	<li>Contribute to architecture design, technical standards, and best practices
</ul>

 

Required Skills

<ul>
	<li>Strong Java programming experience
	<li>Solid understanding of data engineering principles
	<li>Hands-on experience with Apache Spark, Kafka, SQL and NoSQL databases, ETL tools and frameworks
	<li>Experience working with cloud platforms
	<li>Knowledge of data modelling and data warehousing
	<li>Familiarity with microservices architectures
</ul>
 

Reach out to imran.jiwo@nicollcurtin.com for more information

Senor Data Engineer (Java)

My client is a leading Global Financial Institution, currently seeking a Senior Project Manager with strong delivery leadership skills and experience, who can actively drive alignment, secure strategic prioritization and ensure data initiatives directly support business growth. 
 
Acting as the bridge between executive vision and execution you will be responsible for the following:  
 
Responsibilities
<ul>
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Shape executive thinking by framing data initiatives in terms of business outcomes revenue risk cost efficiency customer experience
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Drive alignment across competing executive agendas resolving conflicts and establishing a unified data direction
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Lead executive level conversations steering committees and governance forums with confidence and authority
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Translate technical data concepts into clear compelling narratives that resonate with nontechnical leadership
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Anticipate stakeholder concerns and navigate political and organizational dynamics to maintain momentum
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Build long-term trust with senior leaders becoming a go to advisor on data driven transformation
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Lead the full lifecycle of data related projects e.g. data platforms analytics data governance AIML initiatives
	<li style="text-align: justify;margin: 0.0cm 0.0cm 8.0pt 36.0pt;">Collaborate with data architects’ engineers and business teams to deliver scalable data solutions
</ul>
 
Requirements

<ul>
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Bachelors or Masters degree in Information Technology Data Science Business or related field
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">15 years of experience in project program management with a strong focus on data or analytics initiatives
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Proven track record of delivering complex cross functional projects in large organizations
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Demonstrated experience engaging and influencing C-level stakeholders
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Strong understanding of data platforms e.g. data lakes data warehouses cloud analytics solutions
	<li style="text-align: justify;margin: 0.0cm 0.0cm 0.0cm 36.0pt;">Experience in Agile Waterfall or hybrid delivery methodologies
	<li style="text-align: justify;margin: 0.0cm 0.0cm 8.0pt 36.0pt;">Excellent communication negotiation and stakeholder management skills
</ul>

Senior Project Manager Data Strategy Delivery - HK

<h1>Senior Site Reliability Engineer (SRE)</h1>

📍 Singapore

<h2>About the Role</h2>

We are partnering with a globally recognised digital entertainment and streaming platform that serves millions of users worldwide across web, mobile, and connected devices. The business operates at massive scale across multiple regions and is known for delivering highly available, secure, and performant streaming experiences to a global audience.

As part of their continued growth, they are looking for a Senior Site Reliability Engineer (SRE) to join their Singapore team. This position will play a key role in building scalable infrastructure, improving platform reliability, driving automation, and enabling engineering teams to operate efficiently at scale.

You will work within a high-performing engineering environment focused on cloud-native technologies, distributed systems, reliability engineering, observability, security, and developer productivity.

<hr>
<h1>Key Responsibilities</h1>

<ul>
	<li>Collaborate closely with software engineering teams to design and build scalable platform and infrastructure solutions.
	<li>Drive and champion SRE best practices across engineering teams.
	<li>Lead Incident Management processes, Capacity Planning initiatives, and Service Level Objective (SLO) implementations.
	<li>Automate operational and infrastructure workflows using Infrastructure-as-Code principles.
	<li>Build internal tools, automation frameworks, and AI-driven engineering solutions to improve developer productivity and reduce operational toil.
	<li>Continuously improve platform reliability, scalability, performance, and security.
	<li>Define engineering standards, best practices, and operational guidelines across teams.
	<li>Embed security and cost optimization (FinOps) practices into the software development lifecycle.
	<li>Participate in architectural discussions and contribute to long-term platform strategy.
	<li>Mentor junior engineers and provide technical leadership within the organization.
	<li>Participate in on-call rotations to ensure platform reliability and service availability.
</ul>

<hr>
<h1>Requirements</h1>

<ul>
	<li>Bachelor’s Degree in Computer Science, Engineering, or a related discipline.
	<li>Minimum 5 years of experience in:
	<ul>
		<li>Site Reliability Engineering (SRE)
		<li>DevOps Engineering
		<li>Platform Engineering
	</ul>
	
	<li>Strong experience in backend engineering and distributed systems.
	<li>Hands-on experience with containerization and orchestration technologies such as:
	<ul>
		<li>Docker
		<li>Kubernetes
	</ul>
	
	<li>Strong cloud infrastructure experience with at least one of the following:
	<ul>
		<li>Google Cloud Platform (GCP)
		<li>Amazon Web Services (AWS)
		<li>Microsoft Azure
	</ul>
	
	<li>Solid understanding of:
	<ul>
		<li>Linux / Unix systems
		<li>Networking fundamentals
		<li>Scalability and high availability concepts
	</ul>
	
	<li>Experience managing or supporting large-scale production systems.
	<li>Familiarity with:
	<ul>
		<li>Infrastructure as Code (IaC)
		<li>CI/CD pipelines
		<li>Observability and monitoring tools
		<li>Performance engineering concepts
	</ul>
	
	<li>Strong problem-solving skills with the ability to troubleshoot complex technical issues.
	<li>Interest or exposure to AI/LLM tooling, automation agents, or AI-assisted engineering workflows is highly advantageous.
</ul>

<hr>
<h1>Preferred Technical Exposure</h1>

Exposure to technologies such as:

<ul>
	<li>Kubernetes (GKE preferred)
	<li>Cloud-native infrastructure
	<li>CI/CD platforms
	<li>PostgreSQL
	<li>Redis
	<li>Datadog
	<li>Spinnaker
	<li>Cloud Build
	<li>Multi-region deployments
	<li>Security engineering / WAF solutions
	<li>FinOps / Cloud cost optimization
</ul>

<hr>
<h1>What’s on Offer</h1>

<ul>
	<li>Opportunity to work on globally scaled systems serving millions of users.
	<li>Exposure to modern cloud-native and distributed system architectures.
	<li>Strong engineering culture focused on innovation, automation, and reliability.
	<li>Regional and global collaboration opportunities.
	<li>High-impact role with visibility across engineering teams.
	<li>Opportunity to work with emerging AI technologies within engineering operations.
</ul>

AI Engineer

Key Responsibilities

Requirements

What’s Offered

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