Senior Full-Stack Engineer (SMTS)
$149k - $224k • Washington - Bellevue
Posted 22d ago
Job Location
Washington - Bellevue
Tech Stack
Remote Work Policy
On-site
Categories
AI Infrastructure Engineer
About the job
Salesforce is seeking a Senior Member of Technical Staff (SMTS) for their Monitoring Cloud team. This role is focused on owning and operating the systems that ensure Salesforce's reliability across its multi-cloud footprint. You will be responsible for productizing infrastructure to enhance monitoring capabilities and bridge the gap between high-level feature design and deep-system stability. This is an AI-first engineering role, where AI-assisted development tools will be used for various tasks, allowing engineers to focus on architecture, security, and customer outcomes. The position involves working with automation frameworks, securing air-gapped environments, and ensuring the monitoring stack is invisible, resilient, and intelligent.
Responsibilities
- Design and implement automation frameworks using Terraform and Kubernetes for monitoring infrastructure.
- Standardize deployments across AWS and GCP to ensure consistency and eliminate manual errors.
- Use AI-assisted tooling for authoring, refactoring, and reviewing IaC modules, Helm charts, and automation scripts.
- Own the lifecycle of the Monitoring Cloud stack, including upgrades and performance tuning.
- Productize core components like Grafana and custom Terraform providers into consumable services.
- Leverage AI for upgrade planning, release-note analysis, and migration scaffolding.
- Deploy and manage the monitoring stack within highly isolated, air-gapped environments.
- Ensure high levels of observability and reliability for secure customer segments.
- Participate in the on-call rotation to maintain strict SLAs and availability targets.
- Conduct root-cause analysis for system failures and implement preventative fixes.
- Address support requests with a customer-first mindset.
- Use AI as a co-pilot during incident response and RCA.
- Design and deliver platform features adhering to enterprise standards and pioneering AI-driven development practices.
- Contribute to and evolve the team's AI-assisted development playbook.
Requirements
- 5+ years of 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 such as Java or Python.
- Experience managing or extending monitoring tools (e.g., Grafana), messaging systems (e.g., Kafka), Elasticsearch, and caching frameworks.
- Understanding of authentication/authorization security protocols, especially in isolated network environments.
- Demonstrated fluency in AI-assisted development, including effective prompting, critical evaluation of generated code, and integration into engineering workflows.