Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Microsoft Fabric, the Azure Monitor team builds services that enable customers to monitor, detect, troubleshoot, and mitigate issues with their services through an increasingly agentic experience. Azure Monitor includes Log Analytics, Application Insights, Container Insights, Hosted Prometheus, Azure Managed Grafana, and more. Additionally, Azure Monitor is the platform upon which Microsoft Sentinel is built. We have a multi-billion-dollar business that is growing rapidly, and we run some of the world’s highest scale observability services both for Microsoft internally and for our external customers, processing over 1.5 Exabytes of logs daily and tracking over 100 billion active metrics.
We are looking for a Senior Software Engineer to help shape the next phase of our Observability Platform. This role offers the opportunity to work on highly distributed, mission-critical systems where engineering decisions have impact on a global scale. As a Senior Software Engineer, you will help define the future of our observability architecture by building resilient large-scale systems for observability, telemetry ingestion, stream processing, query serving, and diagnostics across Microsoft’s cloud ecosystem. You will collaborate with engineers, architects, and partner teams across Microsoft, apply modern AI-assisted engineering practices, and contribute both through hands-on technical leadership through design reviews, operational ownership, and mentorship of others. If you enjoy solving complex systems challenges involving scale, reliability, performance, service quality, and operational excellence, this team provides a unique opportunity to make a broad and lasting impact.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Responsibilities
Design, build, and evolve large-scale backend services for telemetry ingestion, stream processing, storage integration, query serving, and observability workflows that deliver reliable, near real-time insights across Microsoft’s cloud ecosystem while meeting demanding requirements for scale, performance, availability, correctness, and operational excellence.
Lead architectural decisions for complex distributed systems by evaluating trade-offs across consistency, latency, throughput, design alternatives and driving solutions that balance reliability, resiliency, security, maintainability, cost efficiency, and long-term platform growth.
Apply AI-native engineering practices throughout the software development lifecycle, leveraging modern AI tools to improve productivity, code quality, test automation, operational efficiency, and engineering health while maintaining accountability for delivered solutions.
Drive engineering excellence through high-quality code reviews, robust testing strategies, automated deployment practices, security-by-design principles, and continuous improvements that enhance system reliability, scalability, and developer productivity.
Partner with engineers, architects, product managers, and data-driven stakeholders across Microsoft to define requirements, influence technical roadmaps, resolve cross-team dependencies, and deliver solutions that create measurable customer and business impact.
Act as a Designated Responsible Individual for critical services by using telemetry, automation, debugging discipline, incident reviews, and operational best practices to improve live-site health, reduce incident volume, shorten time to detection and mitigation, and continuously improve service reliability and supportability.
Mentor and support other engineers by sharing technical expertise, fostering a culture of learning and innovation, championing modern engineering practices, and helping establish technical standards that strengthen the overall platform.
Qualifications
- Bachelor's Degree in Computer Science/Software Engineering/Computer Engineering, or a related technical field, or equivalent practical experience.
- 8+ years of software engineering experience in designing, building, debugging, and operating production services or distributed platforms at scale.
- Experience leading the design and delivery of scalable, cloud-based software solutions and influencing technical direction across projects or teams.
- Strong foundation in distributed systems, software design, data structures, algorithms, concurrency, reliability engineering, and modern backend engineering practices.
- Experience building reliable, highly available services with a focus on performance, observability, security, and operational excellence.
- Experience collaborating across engineering, product, and partner teams to deliver complex technical solutions.
Preferred/Additional Qualifications
Strong hands-on backend engineering and coding skills in one or more programming languages such as C#, C++, Java, Go, or Rust, with demonstrated ability to design, implement, debug, test, optimize, and maintain production-quality services in large-scale distributed environments.
Demonstrated ability to apply AI-assisted engineering practices responsibly to improve developer productivity, reduce repetitive toil, automate engineering or operational workflows, strengthen software quality, and accelerate delivery of production services.
Experience building and operating large-scale distributed systems that process high-volume data, telemetry, observability, messaging, or real-time analytics workloads.
Experience designing, building, or operating services on Microsoft Azure or similar cloud platforms, using technologies such as AKS, Service Fabric, Event Hubs, Azure Storage, or equivalent distributed platform components.
Experience influencing technical direction across teams, mentoring engineers, and driving architecture for complex backend systems.
Experience improving service reliability, performance, availability, and operational excellence through automation, observability, incident learning, and data-driven engineering practices.
Job Requirements: Other & Additional
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (Accessibility | Microsoft Careers).
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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#azureloganalytics
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Software Engineering IC4 - The typical base pay range for this role across Ireland is € 77,400.00 - € 130,000.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/ireland-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience.
- 8+ years software engineering experience designing, building, debugging, and operating production services or distributed platforms at scale.
- Experience leading the design and delivery of scalable, cloud-based software solutions and influencing technical direction across projects or teams.
- Strong foundation in distributed systems, software design, data structures, algorithms, concurrency, and reliability engineering.
- Experience building reliable, highly available services with a focus on performance, observability, security, and operational excellence.
- Experience collaborating across engineering, product, and partner teams to deliver complex technical solutions.
- Ability to pass the Microsoft Cloud background check and meet Microsoft security screening requirements.
- Hands-on backend engineering proficiency in one or more languages such as C#, C++, Java, Go, or Rust.
- Experience designing, building, or operating services on Microsoft Azure or similar cloud platforms (AKS, Service Fabric, Event Hubs, Azure Storage, etc.).
- Experience applying AI-assisted engineering practices to improve productivity, testing, automation, and code quality.
- Experience building and operating large-scale distributed systems for telemetry, observability, messaging, or real-time analytics workloads.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
