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About the Role

As a Senior Member of Technical Staff (SMTS) within our Monitoring Cloud team, you will be a key owner and operator of the systems that keep Salesforce reliable. You will be productizing infrastructure to ensure our monitoring capabilities evolve at the scale of our multi-cloud footprint. Your mission is to bridge the gap between high-level feature design and deep-system stability, ensuring our monitoring stack is invisible, resilient, and intelligent. This is an AI-first engineering role where you will use AI-assisted development tools as the default for every inner-loop activity.

Responsibilities

Design and implement automation frameworks using Terraform and Kubernetes to manage monitoring infrastructure.
Standardize "paved path" deployments across AWS and GCP, eliminating manual configuration errors and ensuring global consistency.
Use AI-assisted tooling as the default for authoring, refactoring, and reviewing IaC modules, Helm charts, and automation scripts while directing intent, validating output, and owning the final result.
Own the lifecycle of the Monitoring Cloud stack, including version upgrades and performance tuning.
Productize core components (e.g., Grafana, custom Terraform providers) to make them consumable as reliable services by internal engineering teams.
Leverage AI for upgrade planning, release-note analysis, migration scaffolding, and boilerplate-heavy productization work.
Deploy and manage the full monitoring stack within highly isolated, air-gapped environments.
Ensure that our most secure customer segments receive the same level of observability and reliability as our public cloud offerings.
Apply AI assistance during development of the artifacts that ship into these environments; operate them in-network with the disciplined, human-driven workflows these environments require.
Participate in the team’s on-call rotation, providing the deep technical expertise required to maintain strict SLAs and availability targets.
Conduct root-cause analysis (RCA) for complex system failures and implement long-term preventative fixes.
Address support requests with a “customer first” mindset.
Use AI as a co-pilot during incident response and RCA: summarizing logs, correlating traces, proposing hypotheses, and drafting status updates and postmortem while the engineer remains the accountable responder and decision-maker.
Design and deliver platform features that adhere to enterprise standards while pioneering AI-driven development practices to accelerate delivery and enhance system intelligence.
Contribute to and evolve the team's AI-assisted development playbook: prompts, agents, skills, evaluation harnesses, and guardrails that let the team ship faster without sacrificing quality or security.

Requirements

5+ years Proven track record in Distributed systems, API platforms, Infrastructure Engineering, Observability or DevOps at scale.
Proficiency with Kubernetes (K8s) and Terraform.
Hands-on experience managing infrastructure in AWS and/or GCP.
Proficiency in programming languages(eg: java, python etc)
Experience managing or extending monitoring tools (e.g., Grafana), messaging systems (kafka etc), elastic search, caching frameworks
Security First: Understanding of authN/authZ security protocols, particularly in managing isolated or restricted network environments.
AI-assisted development fluency: demonstrated use of AI coding assistants (e.g., Claude Code) as part of a daily engineering workflow, able to prompt effectively, critically evaluate generated code, and integrate AI into IaC, testing, and automation pipelines.

Skills

Terraform
Kubernetes
AWS
GCP
Java
Python
Grafana
Kafka
Elasticsearch
AI-assisted development
AuthN/AuthZ security protocols

Location

Bellevue
Seattle
San Francisco
Palo Alto
Hybrid
On-Site

Work Type

Hybrid
On-Site

Experience Level

Senior MTS
5+ years

Salary/Compensations

$148,500 - $223,900 annually
$178,900 - $246,000 annually in select cities within the San Francisco and New York City metropolitan area

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
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.
Agentforce is the future of AI, and you are the future of Salesforce.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
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.
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.