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Applied Scientist, Passive Monitoring - Job Opportunity at Amazon Development Centre Ireland Limited

Dublin, Ireland
Full-time
Senior
Posted: June 4, 2025
On-site
€95,000 - €130,000 per year based on Dublin market rates for senior applied scientist roles at major tech companies, with Amazon typically offering competitive packages in the upper range plus significant stock compensation and benefits

Benefits

Comprehensive professional development opportunities including mentorship programs and knowledge-sharing resources that accelerate career advancement in cloud computing
Work-life harmony initiatives with flexible working arrangements that support both professional success and personal well-being
Access to cutting-edge technology and infrastructure projects at unprecedented scale within the world's largest cloud platform
Inclusive workplace culture with employee-led affinity groups and company-sponsored diversity initiatives that foster innovation
Opportunity to work on mission-critical systems supporting global AWS infrastructure with direct impact on millions of customers
Collaborative environment with diverse teams including software engineers, hardware specialists, and operations experts
Continuous learning environment with exposure to latest networking technologies, automation, and machine learning applications

Key Responsibilities

Drive strategic development of passive-monitoring models that directly impact AWS network reliability and customer experience across global infrastructure
Lead data collection and processing initiatives that enable world-class user experiences for millions of AWS customers worldwide
Architect and implement rapid model iteration frameworks using diverse metric sources to optimize network performance at unprecedented scale
Pioneer innovative modeling solutions through experimental research that advances the state-of-the-art in network automation
Collaborate cross-functionally with science, engineering, and business teams to translate complex technical requirements into scalable solutions
Ensure enterprise-grade data quality standards throughout all acquisition and processing stages for mission-critical network operations
Contribute to the transformation of network management from manual processes to fully automated CI/CD pipelines supporting global cloud infrastructure

Requirements

Education

PhD, or a Master's degree in CS, CE, ML or related field

Experience

Experience in building models for business application and experience in patents or publications at top-tier peer-reviewed conferences or journals

Required Skills

Experience programming in Java, C++, Python or related language Experience in algorithms and data structures Experience in parsing Experience in numerical optimization Experience in data mining Experience in parallel and distributed computing Experience in high-performance computing Experience using Unix/Linux Experience in professional software development
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Sauge AI Market Intelligence

Industry Trends

The cloud infrastructure market is experiencing unprecedented growth with global cloud services revenue projected to exceed $800 billion by 2025, driving massive demand for network automation and monitoring specialists who can manage infrastructure at hyperscale. This growth is particularly concentrated in AI/ML-driven network optimization where passive monitoring becomes critical for maintaining service reliability. Network automation is rapidly evolving from traditional manual processes to fully automated CI/CD pipelines, with companies investing heavily in machine learning models that can predict and prevent network failures before they impact customers. This transformation is creating high demand for applied scientists who can bridge the gap between theoretical ML research and practical network operations. The shift toward software-defined networking and infrastructure-as-code is fundamentally changing how global networks are managed, with passive monitoring becoming essential for real-time network state assessment and automated decision-making in complex distributed systems.

Role Significance

Likely working within a specialized team of 8-12 scientists and engineers, collaborating across multiple AWS infrastructure teams totaling 50+ professionals including network engineers, software developers, and operations specialists
Senior-level position requiring advanced technical expertise and strategic thinking, with significant autonomy in driving product development and architectural decisions that impact global AWS infrastructure reliability

Key Projects

Development of real-time network anomaly detection systems using machine learning models trained on massive datasets from AWS global infrastructure Creation of predictive maintenance algorithms that can forecast network equipment failures and automatically trigger preventive measures Implementation of automated network performance optimization systems that continuously adjust configurations based on traffic patterns and performance metrics

Success Factors

Deep expertise in machine learning model development combined with practical understanding of network infrastructure operations and the ability to translate complex technical requirements into scalable automated solutions Strong collaboration skills to work effectively across diverse technical teams while maintaining focus on customer impact and business outcomes in a fast-paced cloud infrastructure environment Innovation mindset with proven ability to conduct experimental research and publish findings while simultaneously delivering production-ready solutions that operate at AWS scale Data engineering proficiency to handle massive datasets from global network infrastructure while ensuring data quality and implementing robust monitoring and validation systems

Market Demand

Very high demand driven by critical shortage of professionals who combine advanced ML/AI expertise with deep networking knowledge, particularly for hyperscale cloud infrastructure roles

Important Skills

Critical Skills

Machine learning model development expertise is absolutely essential as this role focuses on creating predictive and analytical models for network monitoring, requiring deep understanding of various ML algorithms, model training, validation, and deployment at scale Programming proficiency in Python, Java, or C++ is critical for implementing production-ready solutions that integrate with AWS's existing infrastructure and can handle the performance requirements of real-time network monitoring Experience with distributed computing and big data technologies is vital given the massive scale of AWS network infrastructure and the need to process and analyze enormous volumes of network telemetry data in real-time

Beneficial Skills

Background in network engineering or telecommunications provides valuable context for understanding the practical challenges and constraints of network operations at scale Experience with cloud platforms and infrastructure-as-code methodologies enables better integration with AWS's existing automation frameworks and deployment processes Research experience with publications demonstrates the analytical thinking and innovation capabilities needed to develop novel approaches to complex network monitoring challenges

Unique Aspects

Opportunity to work on passive monitoring systems at unprecedented scale, handling network traffic and performance data from one of the world's largest and most complex distributed systems
Direct impact on the reliability and performance of critical infrastructure that supports millions of businesses and billions of end users worldwide
Access to cutting-edge research opportunities with potential for high-impact publications and patents in the rapidly evolving field of automated network management
Integration with AWS's broader AI/ML ecosystem, providing opportunities to leverage and contribute to advanced technologies across multiple domains

Career Growth

Typical progression to principal-level roles within 3-4 years given AWS's rapid growth and the critical nature of network infrastructure, with management track opportunities available within 2-3 years

Potential Next Roles

Principal Applied Scientist leading multiple teams and driving company-wide network automation strategy Senior Manager/Director positions overseeing AWS infrastructure science initiatives Distinguished Engineer roles focusing on next-generation network technologies and automation frameworks

Company Overview

Amazon Development Centre Ireland Limited

Amazon Web Services is the undisputed global leader in cloud computing services, controlling approximately 32% of the worldwide cloud infrastructure market and generating over $80 billion in annual revenue. AWS operates the most comprehensive and widely adopted cloud platform, serving millions of customers from startups to Fortune 500 companies across 190+ countries.

Market leader with significant competitive advantages in scale, innovation, and global infrastructure reach, consistently setting industry standards for cloud services reliability, security, and performance while maintaining the largest market share in the rapidly growing cloud computing sector
Dublin serves as AWS's primary European hub, housing critical infrastructure operations, significant R&D investments, and serving as the regional headquarters for European operations, making this role strategically important for AWS's continued European expansion and compliance with regional regulations
Fast-paced, innovation-driven environment emphasizing customer obsession, ownership, and long-term thinking, with strong emphasis on technical excellence and data-driven decision making, supported by comprehensive professional development programs and inclusive workplace initiatives
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