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Salesforce

Software Engineering LMTS

Salesforce is hiring a Software Engineering LMTS in San Francisco, United States. It pays $173k-$260k a year and Level rates it ; you can apply on Salesforce.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Opentelemetry, Ebpf and Kubernetes.
  • Level classifies it as a lead role.
  • Level lists 1,500+ other open roles at Salesforce.

AI in this role

Architect and operate large-scale telemetry agents and instrumentation libraries for observability across cloud services.

opentelemetryebpfkubernetes
ai-agentstelemetryobservabilitydistributed-systemsmonitoringcloud-infrastructure

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.

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.

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.

If you're someone who takes ownership, thrives on solving tough challenges, and enjoys driving impact, we'd love to hear from you!

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 $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.

How we rate this

Software Engineering LMTS at Salesforce rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsTelemetryObservabilityDistributed SystemsMonitoringCloud InfrastructureOpentelemetryEbpf

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where telemetry was part of your work. What did you do?
  3. Tell me about a project where observability was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where monitoring was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Telemetry, Observability, Distributed Systems, and Monitoring. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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