Software Engineer, Data & Observability Platforms — MTS/SMTS

Salesforce•Chicago, IL

1d•$117,200 - $246,000•Hybrid

About The Position

We’re hiring a Software Engineer at either the Member of Technical Staff (MTS) or Senior Member of Technical Staff (SMTS) level to join the IT Employee Success (ES) & Finance Platform, Data and Innovations team. The final level will be determined based on the candidate’s experience, technical depth, demonstrated scope, and leadership capabilities. Our team builds the platforms that power Employee Success and Finance systems. We’re evolving our observability capabilities beyond traditional dashboards and reactive alerts toward intelligent, agent-assisted operations—including proactive issue detection, root-cause analysis, and insights informed by historical telemetry. We’re also building a unified data platform that integrates data from Workday, Salesforce, and other enterprise systems to support operational workflows, reporting, analytics, and emerging AI and agentic use cases. This role is a strong fit for an engineer with a platform-first mindset and experience in—or a strong interest in—data platforms, telemetry, observability, cloud infrastructure, and open-source technologies.

Requirements

Professional software development experience building and operating production systems.
Proficiency in one or more relevant programming languages, such as Java, Python, or Go.
Experience with—or a strong interest in—observability, telemetry, logging, alerting, data pipelines, or data platforms.
Familiarity with open-source technologies and modern software engineering practices.
Experience with 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.
Strong collaboration and communication skills, with the ability to work effectively across engineering and business teams.
Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.
Typically 3–5 years of professional software development experience, or equivalent demonstrated capability (for MTS level).
Experience implementing well-defined services, platform components, or data pipelines (for MTS level).
Ability to deliver reliable solutions with guidance from senior engineers (for MTS level).
Willingness to incorporate feedback and develop deeper expertise in platform, data, and observability engineering (for MTS level).
Ability to take ownership of components and contribute effectively to technical discussions and code reviews (for MTS level).
Typically 8 or more years of professional software development experience, or equivalent demonstrated capability (for SMTS level).
Demonstrated experience designing and operating scalable platforms, shared services, infrastructure, or developer capabilities used by multiple teams (for SMTS level).
Ability to independently lead complex technical initiatives from architecture through production operation (for SMTS level).
Strong architectural judgment and the ability to make pragmatic tradeoffs across scalability, reliability, security, and delivery (for SMTS level).
Experience influencing cross-functional stakeholders, driving technical alignment, and establishing reusable engineering standards (for SMTS level).
Ability to mentor other engineers and raise the technical effectiveness of the broader team (for SMTS level).

Nice To Haves

Experience applying AI or agentic approaches to observability, incident investigation, monitoring, or operational tooling.
Experience integrating Workday, Salesforce, or other enterprise and third-party systems.
Experience with MuleSoft or a similar enterprise integration platform.
Experience with Kubernetes or another container-orchestration platform.
Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.

Responsibilities

Design, build, and operate telemetry, observability, logging, and alerting systems that provide real-time visibility into system health, reliability, and performance.
Advance our observability platform beyond dashboards and reactive monitoring toward proactive, AI- and agent-assisted issue detection, investigation, and root-cause analysis.
Build and evolve data pipelines and platform services that integrate data from Workday, Salesforce, and other enterprise systems.
Enable operational, reporting, analytics, and emerging AI and agentic use cases through reliable, secure, and well-governed data.
Build and improve CI/CD pipelines with integrated quality gates, including automated testing, security scanning, and vulnerability checks.
Develop scalable and maintainable infrastructure and services using open-source technologies, primarily on AWS, with some workloads on GCP.
Partner with Employee Success, Finance, security, data, and other engineering teams to identify platform gaps and improve developer experience, data reliability, and operational intelligence.
Participate in architecture discussions, design reviews, code reviews, and technical planning.
Apply and promote engineering best practices related to code quality, testing, security, reliability, and operational excellence.
Contribute to reusable technical patterns, standards, and documentation across the platform.