Software Engineer, Data & Observability Platforms — MTS/SMTS
What you'll need to apply
Fields this application requires
Company-specific questions
- Do you have the unrestricted right to work in the country to which you're applying? (You must answer “No” if you are on any visa or possess any government issued work authorization document that has an expiration date; you should answer “Yes” if you have DACA or TPS authorization in the US)
- Government Employment: In the last 5 years, have you been an employee of a U.S. federal, state, or local government, including a "special Government employee" (defined under 18 U.S.C. §202), or a member of the U.S. Armed Services (including Reserve and Guard components)?
- I attest/confirm that I have no post-government employment restrictions currently applicable to me that have not already been addressed or disclosed in the previous questions, OR that if I am aware of any applicable restrictions, I will disclose them to the recruiter if contacted for further processing of my application. If I received written advice from my current or former government employer about work restrictions that are still active, I will provide it to the recruiter if contacted for further processing of my application.
- Are you currently or have you in the past been debarred, suspended, proposed for debarment or declared ineligible for award of a contract by any federal agency?
- As a U.S. company that exports software and technology internationally, we must comply with U.S. export control laws in every country where we operate. The information provided will be used to determine whether we need to obtain an Export Control License for your employment if you are hired. Are you a citizen, national or permanent resident of Iran, Cuba, North Korea or Syria?
- Regarding future positions at Salesforce, please select one of the following options
- I acknowledge that I have read, reviewed and answered the above questions truthfully and accurately. I further understand, and agree, that any offer of employment I may receive from Salesforce is conditional on the truth of the above statements and that, in the event it is subsequently determined that any of the above is inaccurate, any such offer of employment can be rescinded and, in the event I have commenced employment, such employment will be terminated, to the extent permitted by applicable law. Please select "yes" if you acknowledge.
About this role
Employer-provided description, formatted for easier reading.
Job Summary
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.
About the Role
You’ll be a hands-on technical contributor building reliable, reusable, and scalable platform capabilities for Employee Success and Finance systems.
At the MTS level, you’ll contribute to the design and implementation of platform components, collaborate with experienced engineers, and take increasing ownership of services and technical outcomes.
At the SMTS level, you’ll lead the design of significant platform capabilities, drive technical decisions across teams, mentor engineers, and influence the long-term architecture and direction of the platform.
What You’ll Do
- 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.
Core Qualifications
- 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.
Level-Specific Expectations
MTS
- Typically 3–5 years of professional software development experience, or equivalent demonstrated capability.
- Experience implementing well-defined services, platform components, or data pipelines.
- Ability to deliver reliable solutions with guidance from senior engineers.
- Willingness to incorporate feedback and develop deeper expertise in platform, data, and observability engineering.
- Ability to take ownership of components and contribute effectively to technical discussions and code reviews.
SMTS
- Typically 8 or more years of professional software development experience, or equivalent demonstrated capability.
- Demonstrated experience designing and operating scalable platforms, shared services, infrastructure, or developer capabilities used by multiple teams.
- Ability to independently lead complex technical initiatives from architecture through production operation.
- Strong architectural judgment and the ability to make pragmatic tradeoffs across scalability, reliability, security, and delivery.
- Experience influencing cross-functional stakeholders, driving technical alignment, and establishing reusable engineering standards.
- Ability to mentor other engineers and raise the technical effectiveness of the broader team.
Nice to Have
- 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.