Software Engineer, Data & Observability Platforms — MTS/SMTS

Overview In this role you build and scale platform capabilities for Employee Success and Finance systems, contributing to a data-driven, observable, and AI-enhanced operations platform. You’ll work within a cross-functional team to deliver reliable data pipelines, governance, and telemetry that support analytics and AI use cases. This position offers growth from hands-on contributor (MTS) to technical leadership (SMTS) with impact on architecture and cross-team collaboration. Compensation / Benefitstime off programsmedicaldentalvisionmental health supportpaid parental leave`,`life and disability insurance`, ResponsibilitiesDesign, build, and operate telemetry, observability, logging, and alerting systems for real-time health and performance visibilityAdvance observability to include AI-assisted issue detection, investigation, and root-cause analysisDevelop data pipelines and platform services integrating Workday, Salesforce, and other enterprise systemsEnable operational reporting, analytics, and AI use cases through reliable and governed dataImprove CI/CD pipelines with automated testing, security scanning, and quality gatesBuild scalable infrastructure and services using open-source tech, mainly on AWS with some GCP workloadsCollaborate with security, data, and other engineering teams to identify platform gaps and improve developer experience and reliabilityParticipate in architecture discussions, code reviews, and technical planning, promoting engineering best practices and reusable patterns Key requirementsProfessional software development experienceProficiency in Java, Python, or GoExperience with observability, telemetry, data pipelines, or data platformsFamiliarity with open-source technologies and modern software practicesExperience with CI/CD, automated testing, and security practicesWorking knowledge of AWS; some GCP experience is a plusUnderstanding of distributed systems, scalability, reliability, and design principlesStrong collaboration and communication across engineering and business teamsBachelor’s degree in Computer Science, Engineering, or related field or equivalent experiencecollaborationcommunicationproblem-solvingJavaPythonGo