{"schemaVersion":"jobsearcher.job.v1","id":"e926e1843198df288fa890b0","url":"https://jobsearcher.com/jobs/e926e1843198df288fa890b0","canonicalUrl":"https://jobsearcher.com/jobs/e926e1843198df288fa890b0","title":"Software Engineer, Data & Observability Platforms — MTS/SMTS","description":"To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.\n\nJob Category\n\nSoftware Engineering\n\nJob Details\n\nAbout Salesforce\n\nSalesforce 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.\n\nReady 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.\n\nJob Summary\n\nWe’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.\n\nOur 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.\n\nWe’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.\n\nThis 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.\n\nAbout the Role\n\nYou’ll be a hands-on technical contributor building reliable, reusable, and scalable platform capabilities for Employee Success and Finance systems.\n\nAt 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.\n\nAt 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.\n\nWhat You’ll Do\nDesign, build, and operate telemetry, observability, logging, and alerting systems that provide real-time visibility into system health, reliability, and performance.\nAdvance our observability platform beyond dashboards and reactive monitoring toward proactive, AI- and agent-assisted issue detection, investigation, and root-cause analysis.\nBuild and evolve data pipelines and platform services that integrate data from Workday, Salesforce, and other enterprise systems.\nEnable operational, reporting, analytics, and emerging AI and agentic use cases through reliable, secure, and well-governed data.\nBuild and improve CI/CD pipelines with integrated quality gates, including automated testing, security scanning, and vulnerability checks.\nDevelop scalable and maintainable infrastructure and services using open-source technologies, primarily on AWS, with some workloads on GCP.\nPartner with Employee Success, Finance, security, data, and other engineering teams to identify platform gaps and improve developer experience, data reliability, and operational intelligence.\nParticipate in architecture discussions, design reviews, code reviews, and technical planning.\nApply and promote engineering best practices related to code quality, testing, security, reliability, and operational excellence.\nContribute to reusable technical patterns, standards, and documentation across the platform.\n\nCore Qualifications\nProfessional software development experience building and operating production systems.\nProficiency in one or more relevant programming languages, such as Java, Python, or Go.\nExperience with—or a strong interest in—observability, telemetry, logging, alerting, data pipelines, or data platforms.\nFamiliarity with open-source technologies and modern software engineering practices.\nExperience with CI/CD pipelines, automated testing, and foundational security or vulnerability-management practices.\nWorking knowledge of cloud infrastructure, particularly AWS; GCP experience is a plus.\nUnderstanding of distributed systems, scalability, reliability, and system-design principles.\nStrong collaboration and communication skills, with the ability to work effectively across engineering and business teams.\nBachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.\n\nLevel-Specific Expectations\nMTS\nTypically 3–5 years of professional software development experience, or equivalent demonstrated capability.\nExperience implementing well-defined services, platform components, or data pipelines.\nAbility to deliver reliable solutions with guidance from senior engineers.\nWillingness to incorporate feedback and develop deeper expertise in platform, data, and observability engineering.\nAbility to take ownership of components and contribute effectively to technical discussions and code reviews.\n\nSMTS\nTypically 8 or more years of professional software development experience, or equivalent demonstrated capability.\nDemonstrated experience designing and operating scalable platforms, shared services, infrastructure, or developer capabilities used by multiple teams.\nAbility to independently lead complex technical initiatives from architecture through production operation.\nStrong architectural judgment and the ability to make pragmatic tradeoffs across scalability, reliability, security, and delivery.\nExperience influencing cross-functional stakeholders, driving technical alignment, and establishing reusable engineering standards.\nAbility to mentor other engineers and raise the technical effectiveness of the broader team.\n\nNice to Have\nExperience applying AI or agentic approaches to observability, incident investigation, monitoring, or operational tooling.\nExperience integrating Workday, Salesforce, or other enterprise and third-party systems.\nExperience with MuleSoft or a similar enterprise integration platform.\nExperience with Kubernetes or another container-orchestration platform.\nFamiliarity with infrastructure-as-code tools such as Terraform or CloudFormation.\n\nUnleash Your Potential\n\nWhen 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.\n\nAccommodations\n\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .\n\nPlease 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.\n\nPosting Statement\n\nSalesforce 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.\n\nIn 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.\n\nAt Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.\n\nThe 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.\n\nThe range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.","company":"Salesforce","rawCompany":"salesforce","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-14T08:03:09.084Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Data & Observability Platforms — MTS/SMTS","description":"To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.\n\nJob Category\n\nSoftware Engineering\n\nJob Details\n\nAbout Salesforce\n\nSalesforce 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.\n\nReady 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.\n\nJob Summary\n\nWe’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.\n\nOur 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.\n\nWe’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.\n\nThis 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.\n\nAbout the Role\n\nYou’ll be a hands-on technical contributor building reliable, reusable, and scalable platform capabilities for Employee Success and Finance systems.\n\nAt 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.\n\nAt 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.\n\nWhat You’ll Do\nDesign, build, and operate telemetry, observability, logging, and alerting systems that provide real-time visibility into system health, reliability, and performance.\nAdvance our observability platform beyond dashboards and reactive monitoring toward proactive, AI- and agent-assisted issue detection, investigation, and root-cause analysis.\nBuild and evolve data pipelines and platform services that integrate data from Workday, Salesforce, and other enterprise systems.\nEnable operational, reporting, analytics, and emerging AI and agentic use cases through reliable, secure, and well-governed data.\nBuild and improve CI/CD pipelines with integrated quality gates, including automated testing, security scanning, and vulnerability checks.\nDevelop scalable and maintainable infrastructure and services using open-source technologies, primarily on AWS, with some workloads on GCP.\nPartner with Employee Success, Finance, security, data, and other engineering teams to identify platform gaps and improve developer experience, data reliability, and operational intelligence.\nParticipate in architecture discussions, design reviews, code reviews, and technical planning.\nApply and promote engineering best practices related to code quality, testing, security, reliability, and operational excellence.\nContribute to reusable technical patterns, standards, and documentation across the platform.\n\nCore Qualifications\nProfessional software development experience building and operating production systems.\nProficiency in one or more relevant programming languages, such as Java, Python, or Go.\nExperience with—or a strong interest in—observability, telemetry, logging, alerting, data pipelines, or data platforms.\nFamiliarity with open-source technologies and modern software engineering practices.\nExperience with CI/CD pipelines, automated testing, and foundational security or vulnerability-management practices.\nWorking knowledge of cloud infrastructure, particularly AWS; GCP experience is a plus.\nUnderstanding of distributed systems, scalability, reliability, and system-design principles.\nStrong collaboration and communication skills, with the ability to work effectively across engineering and business teams.\nBachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.\n\nLevel-Specific Expectations\nMTS\nTypically 3–5 years of professional software development experience, or equivalent demonstrated capability.\nExperience implementing well-defined services, platform components, or data pipelines.\nAbility to deliver reliable solutions with guidance from senior engineers.\nWillingness to incorporate feedback and develop deeper expertise in platform, data, and observability engineering.\nAbility to take ownership of components and contribute effectively to technical discussions and code reviews.\n\nSMTS\nTypically 8 or more years of professional software development experience, or equivalent demonstrated capability.\nDemonstrated experience designing and operating scalable platforms, shared services, infrastructure, or developer capabilities used by multiple teams.\nAbility to independently lead complex technical initiatives from architecture through production operation.\nStrong architectural judgment and the ability to make pragmatic tradeoffs across scalability, reliability, security, and delivery.\nExperience influencing cross-functional stakeholders, driving technical alignment, and establishing reusable engineering standards.\nAbility to mentor other engineers and raise the technical effectiveness of the broader team.\n\nNice to Have\nExperience applying AI or agentic approaches to observability, incident investigation, monitoring, or operational tooling.\nExperience integrating Workday, Salesforce, or other enterprise and third-party systems.\nExperience with MuleSoft or a similar enterprise integration platform.\nExperience with Kubernetes or another container-orchestration platform.\nFamiliarity with infrastructure-as-code tools such as Terraform or CloudFormation.\n\nUnleash Your Potential\n\nWhen 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.\n\nAccommodations\n\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .\n\nPlease 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.\n\nPosting Statement\n\nSalesforce 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.\n\nIn 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.\n\nAt Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.\n\nThe 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.\n\nThe range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.","datePosted":"2026-09-14T08:03:09.084Z","dateModified":"2026-09-14T08:03:09.084Z","hiringOrganization":{"@type":"Organization","name":"Salesforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e926e1843198df288fa890b0"},"url":"https://jobsearcher.com/jobs/e926e1843198df288fa890b0"}}