Software Engineering LMTS

Salesforce; San Francisco (CA); On-site; USD 173,000 - 260,000; Full time

Job summary

Salesforce is seeking a senior software engineer to architect, implement, and operate telemetry agents and instrumentation libraries that power observability at scale. You will work across OpenTelemetry, agents, and backends to deliver low-latency insights for countless services.

You will collaborate with engineering, product, and design to build scalable, reliable telemetry that supports millions of hosts, with emphasis on safe rollout and maintainability in a fast-paced environment.

Qualifications

• BS/MS in CS or equivalent, 8+ years development
• Experience building scalable, real-time data management services
• Strong cloud experience (AWS/GCP/Azure)
• Proficient in Go, Java, or Python on Linux/UNIX
• Containers & Kubernetes production experience (EKS/GKE)
• Agile methodology experience and strong communication skills
• Reliability target 99.99% in production

Responsibilities

• Design and implement critical telemetry features
• Build scalable, maintainable agent and instrumentation code
• Collaborate with product, design, and other teams
• Deliver production code with regular cadence using Agile practices
• Ensure safe rollout across large fleets and manage footprint

Skills

Go

Java

Python

Linux/UNIX

Agile methodologies

Distributed systems

Communication

Education

B.S./M.S. in Computer Science or equivalent

Tools

Kubernetes (EKS/GKE)

OpenTelemetry

Prometheus/Grafana

Docker

CI/CD (Spinnaker)

Job 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.

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.

The Experience

Monitoring Cloud is seeking engineers to architect, implement, deliver, and operate the telemetry agents and instrumentation libraries that power observability at Salesforce scale. Monitoring Cloud is an integral part of the Salesforce Infrastructure, providing the insights every development team relies on to detect and remediate incidents and keep Salesforce products highly available for our customers. This cloud owns the entire telemetry stack, from the agents that emit, collect, and ship telemetry to the large-scale backends that store it and serve low-latency queries. We support all the key pillars of telemetry (metrics, logs, traces, and events) at massive scale, built from a combination of open source and home-grown technologies architected from the ground up to run efficiently in the public cloud. The Monitoring Agent team sits at the very front of that stack. We own every telemetry collection agent and instrumentation library at Salesforce: we instrument, collect, transform, and export logs, metrics, traces, and events across Kubernetes (EKS/GKE), GovCloud, and Agentforce/LLM services. Our work spans OpenTelemetry Collector pipelines, eBPF-based edge instrumentation, an OpAMP fleet-management control plane, agent-side anomaly detection, and instrumentation libraries embedded in thousands of services. These agents run on millions of hosts, so efficiency, reliability, and safe rollout are first-order design constraints. We are looking to add engineers with experience building and owning distributed services who can step up and own big chunks of this vision. You will be challenged to blend customer-centric principles, industry-changing innovation, and the reliable delivery of new technologies. You will work directly with engineering, product, and design to build agents and instrumentation that development teams across Salesforce depend on every day.

What You’ll Actually Be Doing

• You proactively design, develop, and implement critical functionality, tackling features of increasing complexity with confidence.
• You are adaptable and eager to learn new technologies, solving ambiguous problems quickly to accelerate business impact.
• You take pride in your work, applying engineering best practices to build scalable, maintainable solutions.
• You are innovative, always looking for ways to improve services and are unafraid to propose new ideas.
• You care about operating what you build, treating agent footprint, host impact, and safe rollout across a large fleet as part of the design.
• You are comfortable presenting your team's work to peers, leadership, and broader engineering groups, whether in team meetings, leadership reviews, or Tech Talks.
• You write understandable, testable code with an eye toward maintainability.

You’re Our Person If...

• B.S/M.S. in Computer Science or equivalent field with 8+ years of software development experience
• Experience building highly scalable, available, and real-time data management or data collection services
• Deep understanding and experience building services on the public cloud (AWS, GCP, Azure, etc.)
• Strong experience developing services/software in a Linux/UNIX environment using Go, Java, or Python
• Hands-on experience with containers and Kubernetes (EKS/GKE), including operating workloads such as DaemonSets or sidecars in production
• Comfortable in a fast-paced environment focused on delivering production code at a regular cadence using Agile techniques, tools, and methodologies
• Excellent written and verbal communication that helps you collaborate effectively in distributed scrum teams
• Experience building and operating services while ensuring 99.99% reliability in production

Even Better If...

• Experience with OpenTelemetry (Collector, SDKs, or instrumentation) or comparable telemetry pipelines and agents
• Familiarity with observability signals and systems: metrics, logs, traces, and events, and platforms such as Prometheus, Splunk, Grafana, or similar
• Strong distributed-systems fundamentals and experience with container orchestration (Kubernetes), including client-server or agent/control-plane protocols (e.g. OpAMP)
• Experience with low-level or host-level instrumentation (eBPF, cAdvisor, kube-state-metrics)
• Expertise in Big Data and streaming technologies such as Kafka, Flink, Spark, Trino/Presto, Druid, or Airflow
• Experience with CI/CD technologies (such as Spinnaker), Docker, and Terraform
• Experience with Spring, gRPC, REST, and the HTTP protocol

You are a high-performing hybrid engineer who thrives in a "Get it Done" environment. You take ownership of complex problems, independently delivering high-quality features while continuously driving engineering excellence.

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.

Accommodations

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

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 $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.