Software Engineer, Data & Observability Platforms

Responsibilities

• Design, build, and operate telemetry, observability, logging, and alerting systems for real-time visibility into system health, reliability, and performance.
• Advance observability capabilities toward proactive, AI- and agent-assisted issue detection, investigation, and root-cause analysis.
• Build data pipelines and platform services integrating Workday, Salesforce, and other enterprise systems.
• Enable operational, reporting, analytics, and emerging AI and agentic use cases through reliable and governed data.
• Develop scalable infrastructure and services primarily on AWS, with some workloads on GCP.
• Build and improve CI/CD pipelines with automated testing, security scanning, and vulnerability checks.
• Collaborate with Employee Success, Finance, security, data, and engineering teams to improve platform capabilities, data reliability, and developer experience.
• Participate in architecture discussions, design reviews, code reviews, technical planning, and documentation.
• At the SMTS level, lead significant technical initiatives, influence architecture, mentor engineers, and establish reusable engineering standards.

Requirements

• Professional experience building and operating production software systems.
• Proficiency in one or more relevant programming languages such as Java, Python, or Go.
• Experience with or strong interest in observability, telemetry, logging, alerting, data pipelines, or data platforms.
• Familiarity with open-source technologies, CI/CD pipelines, automated testing, and foundational security or vulnerability-management practices.
• Working knowledge of cloud infrastructure, particularly AWS; GCP experience is a plus.
• Understanding of distributed systems, scalability, reliability, and system-design principles.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• MTS candidates typically have 3–5 years of professional software development experience or equivalent demonstrated capability.
• SMTS candidates typically have 8 or more years of professional software development experience or equivalent demonstrated capability.
• SMTS candidates should have experience designing and operating scalable platforms or shared services, leading complex initiatives, influencing stakeholders, and mentoring engineers.
• Experience with AI or agentic approaches to observability, Workday or Salesforce integrations, MuleSoft, Kubernetes, Terraform, or CloudFormation is preferred.

Benefits

• Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
• The posting states that certain roles may be eligible for incentive compensation, equity, and benefits.
• The base salary range is provided separately and is excluded from this benefits summary.