Software Engineer, Data & Observability Platforms — MTS/SMTS

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $117,200 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $246,000 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.