Senior Cloud Platform Engineer, Salesforce
SMTS
$178.9-246k
Plus an employee stock purchasing program
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$178.9-246k
Plus an employee stock purchasing program
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 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
What the job involves
- 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
- 1. 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
- 2. 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
- 3. 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
- 4. 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
- 5. 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
- 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
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 393 more jobs at Salesforce