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Software Engineer II, Global Networking - Job Opportunity at Google

Dublin, Ireland
Full-time
Mid-level
Posted: June 19, 2025
On-site
EUR 85,000 - EUR 120,000 annually based on Dublin market rates for Software Engineer II positions at major tech companies, with Google typically offering compensation packages in the upper quartile including base salary, equity, and performance bonuses that can total 20-40% above the base amount

Benefits

Equal opportunity workplace with comprehensive diversity and inclusion initiatives that create a competitive advantage in talent acquisition and retention
Accommodation support for applicants with disabilities demonstrating commitment to accessibility and inclusive hiring practices
Opportunity to work on planet-scale infrastructure that impacts billions of users globally, providing unparalleled technical exposure and career development
Access to Google's cutting-edge technology stack and tools that represent industry-leading innovations in cloud computing and networking

Key Responsibilities

Design and architect planet-scale network infrastructure that powers Google's global services and cloud platform, directly impacting the digital transformation strategies of organizations across 200+ countries and territories
Lead the development and maintenance of critical management plane systems that ensure 99.9%+ uptime for the world's largest network infrastructure, making strategic decisions that affect billions of users
Drive innovation through comprehensive bug analysis, feature design, and implementation of highly reliable and scalable systems that will define the next generation of global networking architecture
Execute rapid deployment cycles using Agile methodologies to deliver micro-services on weekly schedules, maintaining competitive advantage through accelerated time-to-market
Maintain service level objectives through strategic on-call participation, ensuring business continuity for mission-critical global infrastructure operations

Requirements

Education

Bachelor's degree or equivalent practical experience

Experience

1 year of experience with software development in one or more programming languages and 1 year of experience building and developing large-scale infrastructure or distributed systems

Required Skills

Software development in Python, C, C++, Java, JavaScript Building and developing large-scale infrastructure or distributed systems Data structures or algorithms Testing and launching distributed systems, storage and related software products Production-level C++ software
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Sauge AI Market Intelligence

Industry Trends

The global shift toward autonomous networking and self-healing infrastructure represents a fundamental transformation in how enterprises manage their network operations, with organizations increasingly adopting AI-driven network management solutions to reduce operational complexity and improve reliability. This trend is accelerating as companies seek to minimize human intervention in network operations while maintaining high availability standards. Cloud-native networking architectures are becoming the dominant paradigm as organizations migrate from traditional on-premises infrastructure to hybrid and multi-cloud environments, driving unprecedented demand for engineers who can design and implement scalable, distributed networking solutions that span multiple cloud providers and geographic regions. The convergence of 5G, edge computing, and IoT technologies is creating new requirements for ultra-low latency networking solutions, pushing companies like Google to innovate in areas of network topology modeling and real-time traffic management to support emerging applications in autonomous vehicles, industrial automation, and augmented reality. Software-defined networking (SDN) and network function virtualization (NFV) are reshaping the telecommunications landscape, with major cloud providers investing heavily in programmable network infrastructure that can adapt dynamically to changing traffic patterns and business requirements.

Role Significance

Typically part of a 6-12 person engineering team within a larger 50-100 person networking organization, collaborating closely with site reliability engineers, product managers, and senior architects on cross-functional initiatives
Mid-level individual contributor role with significant technical ownership and decision-making authority over critical infrastructure components, requiring independent problem-solving capabilities and the ability to influence architectural decisions that impact global network performance and reliability

Key Projects

Implementation of next-generation network topology modeling systems that can represent and manipulate complex interconnections across Google's global infrastructure footprint Development of automated network provisioning and configuration management tools that reduce deployment times from hours to minutes while maintaining strict reliability standards Creation of real-time network monitoring and analytics platforms that provide predictive insights into network performance and capacity planning requirements

Success Factors

Deep understanding of distributed systems principles and the ability to design solutions that maintain consistency and availability across geographically distributed data centers, which is essential for maintaining Google's service level commitments to enterprise customers Strong proficiency in systems programming languages, particularly C++ and Python, combined with the ability to optimize code for performance at scale where even small efficiency improvements can result in significant cost savings and improved user experience Experience with agile development methodologies and the ability to work effectively in fast-paced environments where requirements can change rapidly based on evolving business needs and technological advances Excellent debugging and problem-solving skills with the ability to quickly identify and resolve issues in complex distributed systems where problems can cascade across multiple service boundaries

Market Demand

Very high demand driven by the critical shortage of engineers with distributed systems experience and the exponential growth in cloud infrastructure requirements globally, particularly for professionals who can work on planet-scale networking challenges

Important Skills

Critical Skills

Distributed systems expertise is absolutely essential as this role involves building infrastructure that must maintain consistency and availability across Google's global network of data centers, where even brief outages can affect millions of users and result in significant revenue loss Proficiency in C++ is crucial for performance-critical networking code where efficiency directly impacts system capacity and operational costs, particularly when dealing with high-frequency network operations that process millions of requests per second Strong algorithmic thinking and data structure knowledge is fundamental for optimizing network routing algorithms and topology representations that must scale to handle Google's massive and complex network infrastructure

Beneficial Skills

Machine learning and AI experience is increasingly valuable as Google integrates intelligent automation into network management systems to predict and prevent issues before they impact users Experience with containerization and orchestration technologies like Kubernetes is beneficial as Google continues to modernize its infrastructure deployment and management practices Knowledge of network protocols and telecommunications standards provides important context for understanding how Google's infrastructure integrates with global internet infrastructure and partner networks

Unique Aspects

Opportunity to work on infrastructure that serves billions of users daily, providing unparalleled experience in designing and operating systems at a scale that few companies in the world can match
Direct involvement in building autonomous networking capabilities that represent the cutting edge of network management technology and could define industry standards for the next decade
Access to Google's proprietary technologies and research initiatives in areas such as machine learning, distributed computing, and network optimization that are not available elsewhere in the industry
Collaboration with world-class engineers and researchers who are leaders in their fields and regular contributors to academic conferences and open-source projects

Career Growth

Progression to Senior Software Engineer typically occurs within 2-4 years based on performance and impact, with advancement to staff-level positions generally requiring 5-8 years of experience and demonstrated technical leadership

Potential Next Roles

Senior Software Engineer focusing on technical leadership and mentoring of junior team members while taking ownership of larger, more complex system components Staff Software Engineer or Principal Engineer roles involving cross-team technical leadership and driving architectural decisions that span multiple product areas Engineering Manager positions leading teams of 8-15 engineers and being responsible for both technical direction and people management Technical Program Manager roles coordinating large-scale infrastructure projects across multiple engineering teams and business units

Company Overview

Google

Google represents the global leader in internet search, cloud computing, and digital advertising technologies, with a market capitalization exceeding $1 trillion and annual revenues of over $280 billion, making it one of the most influential technology companies in the world with operations spanning virtually every country and territory

Dominant market position in search (>90% global market share), leading position in cloud infrastructure (third largest provider globally), and significant presence in mobile operating systems, web browsers, and enterprise productivity software, providing exceptional job security and career advancement opportunities
Dublin serves as Google's European headquarters and houses critical engineering teams responsible for serving users across Europe, Middle East, and Africa regions, making this role strategically important for the company's international growth and regulatory compliance initiatives
Known for its data-driven decision making, innovation-focused environment, and emphasis on technical excellence, with strong support for employee development, flexible work arrangements, and a collaborative culture that encourages experimentation and learning from failure
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