Principal Applied Scientist, CloudWatch, Intelligent Operations

3 weeks ago

Dublin, Dublin City, Ireland Amazon Full time

Principal Applied Scientist, CloudWatch, Amazon Intelligent Operations

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS' services and features apart in the industry.

You will support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

The CloudWatch team in Dublin is looking for a world-class Principal Applied Scientist to lead our teams to create the next generation of AI-based monitoring solutions.

CloudWatch is the observability platform of AWS, built for developers, system operators, site reliability engineers (SRE), and IT managers. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing a unified view of AWS resources, applications, and services that run on AWS, and on-premises servers.

Custome use CloudWatch to set high-resolution alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to optimize their applications, and ensure they are running smoothly.

CloudWatch is one of the largest real-time data platforms in the world, processing more than 13 quadrillion metric observations per month.

In CloudWatch, we love giving customers what they want: high quality, highly usable, highly available services. It's humbling and energizing to work with excellent, dedicated engineers to build and deliver world-leading service monitoring solutions at AWS scale.

Key Job Responsibilities
  • Taking on challenging and ambiguous customer problems, distilling customer requirements, and delivering solutions that either leverage existing academic research or utilize your own out-of-the-box but pragmatic thinking.
  • Researching and developing novel approaches for anomaly detection, root cause analysis, and providing intelligent insights from vast amounts of monitoring and observability data.
  • Collaborating with scientists and engineers across the CloudWatch team as well as directly with customers.
  • Hiring, developing, growing, and mentoring our junior scientists.

BASIC QUALIFICATIONS

  • A Ph.D. degree in Statistics, Computer Science, Applied Math, or a related field.
  • Hands-on experience in solving difficult machine learning problems.
  • Expertise in more than one major programming language (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).
  • Demonstrated ability to serve as a technical lead.
  • Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.
  • Strong fundamentals in problem solving, algorithm design, and complexity analysis.
  • Proven track record in leading, mentoring, and growing teams of scientists.

PREFERRED QUALIFICATIONS

  • Deep technical knowledge of machine learning and statistical methodologies.
  • Experience with deep learning toolkits and frameworks.
  • Solid software development experience.
  • Algorithm and model development experience for large-scale applications.
  • Experience with defining research and development practices in an applied environment.
  • Excellent communication skills, both written and oral, with technical and business people.
  • Professional traits, including exhibiting excellent judgment, maintaining relentlessly high standards, thinking strategically while staying on top of tactical execution, expecting innovation from collaborators, thinking big, having convictions, being results-oriented, and inspiring passion in others about learning, research, and implementation.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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