Software Engineer, Data & Observability Platforms

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Software Engineer, Data & Observability Platforms in USA new

Salesforce
Full time
Email

USA
09/14/2026
Report

Chicago, IL

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.

Salary: $117k - $246k/yr

Salesforce

Salesforce delivers an advanced AI-powered CRM platform that integrates applications, data, and workflows to enhance customer relationships across any business size. Designed for both small and large enterprises, Salesforce's agentic AI simplifies complex processes, enabling sales, marketing, and...

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