Cloud Engineer

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

Ready to launch your career at the intersection of cloud technology, data, and business impact? Xylem is seeking a Cloud Operations Engineer to join our Global Cloud Infrastructure team within the Xylem Global Solutions Operations organization. In this role, you will help teams across the enterprise leverage public cloud platforms and cloud-based technologies securely, reliably, and cost-effectively. You will transform cloud data into actionable insights, support operational processes, and contribute to the continuous improvement of cloud services across the organization.

• Create and maintain cloud cost, utilization, operational readiness, security, and performance dashboards that provide actionable insights for business and technology stakeholders.
• Analyze cloud billing and usage data, identify trends and optimization opportunities, and support Fin Ops reporting, cost allocation, forecasting, and chargeback/showback processes.
• Support cloud operations by managing access requests, resolving routine service issues, and coordinating escalations with engineering teams and technology vendors.
• Contribute to the modernization of reporting processes by transitioning spreadsheet-based reporting into enterprise data warehouse and business intelligence solutions.
• Evaluate emerging cloud and AI technologies, assist with proof-of-concept initiatives, and help establish governance, operational standards, and adoption frameworks.
• Maintain accurate documentation, track work through Jira, and collaborate with cloud providers, finance partners, and internal stakeholders to improve service delivery and operational efficiency.

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Finance, or a related field; or an equivalent combination of education, technical training, internship experience, and/or relevant work experience.
• Foundational understanding of cloud computing, monitoring and logging platforms, source code repositories, data processing, and IT service support concepts.
• Strong proficiency with Microsoft Excel, including formulas, lookups, pivot tables, data validation, and data analysis techniques.
• Demonstrated analytical, problem-solving, and attention-to-detail skills with the ability to interpret and validate data.
• Strong written and verbal communication skills with the ability to effectively engage both technical and non-technical audiences.
• Ability to learn new technologies, manage multiple priorities, document work accurately, and meet recurring deadlines.
• Strong customer-service orientation, teamwork, organizational skills, and ability to work effectively in a collaborative environment.
• Ability to participate in an on-call rotation if required by the business.

• Coursework, internship experience, certifications, or hands-on exposure related to AWS, Microsoft Azure, Google Cloud Platform (GCP), Fin Ops, data analytics, or IT service management.
• Experience with SQL, Power BI or other data visualization tools, and basic scripting using Python or Power Shell.
• Familiarity with cloud cost management concepts, including tagging strategies, forecasting, cost allocation, optimization, showback, and chargeback methodologies.
• Experience using Jira, Confluence, Datadog, Sumo Logic, JFrog, Bitbucket, Git Hub Copilot, or similar operational and collaboration platforms.
• Understanding of Agile methodologies and foundational project management concepts.

Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable…