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Salesforce

Senior Full-Stack Engineer (SMTS)

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $190K - 230K a year · our estimate

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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.

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.

Job Description: Senior Member of Technical Staff (SMTS) – Monitoring Cloud Infrastructure

Location: Bellevue / Seattle / San Francisco / Palo Alto/ Hybrid / On-Site

Role Level: Software Engineering Senior MTS

Team: Infrastructure Engineering / Monitoring Cloud

Position Overview

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 won't just be "using" tools; 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. From automating the "paved path" across AWS and GCP to securing air-gap environments for our most sensitive customers, you will ensure our monitoring stack is invisible, resilient, and intelligent.

This is an AI-first engineering role. You will use AI-assisted development tools (e.g., Claude Code) as the default for every inner-loop activity, code authoring, Terraform and Kubernetes scaffolding, test generation, refactoring, log/trace analysis, runbook drafting, and documentation. We expect AI to compound your throughput on routine implementation so you can focus your human judgment on architecture, security, on-call response, and customer outcomes.

Core Responsibilities

Infrastructure as Code (IaC) & Automation

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.

Infrastructure Upkeep & Productization

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 (API wiring, schema plumbing, SDK generation), while retaining accountability for design and rollout.

Secure & Air-Gapped Operations

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.

Operational Excellence & Health

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.

Next-Gen Feature Delivery

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.

Required Qualifications

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.

Benefits

  • You will be at the heart of Salesforce’s "Stability First" mission. This role offers the unique challenge of operating at massive scale while solving the intricate security puzzles of air-gapped infrastructure.You'll also be on the leading edge of AI-augmented infrastructure engineering, using AI on every inner-loop activity to deliver more per engineer than has ever been possible, while still owning the human-critical work (on-call, security, and customer outcomes) that defines great infrastructure teams. If you enjoy building "infrastructure as a product" and thrive in a high-impact environment, this is your next step.
  • 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.

Where you’d work

From the office

About the company

Salesforce

  • Industry: SaaS

Offices in Bellevue, United States, San Francisco, United States, United States

Also hiring in Chicago, United States, Atlanta, United States, Dallas, United States and 33 more places

55 of their 340 open roles are remote

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Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Java
  • AWS
  • Kubernetes
  • Terraform
  • Kafka
  • Elasticsearch
Seniority
Senior
Type
Full-time
Industry
SaaS
Specialty
Fullstack
Region
United States
Show 6 more factsShow less

Role

Category
Development
Specialty
Fullstack
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • Java
  • AWS
  • Kubernetes
  • Terraform
  • Kafka
  • Elasticsearch

Location

Work model
Office
Region
United States
Offices
  • Bellevue, United States
  • San Francisco, United States
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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