Senior Manager - Software Engineering

Enboarder; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Job summary

Salesforce is seeking a remote Senior Manager based in San Francisco to lead the Reliability Engineering team overseeing a multi-cloud compute platform. You will guide Kubernetes, Service Mesh, Ingress Gateway, and Identity services across 1,000+ clusters on major cloud providers, ensuring security and high availability.

You will set the tech vision, coach engineers, and partner with architects and product owners to deliver features while guarding architectural integrity and security in an

Qualifications

• 10+ years of software engineering experience.
• 3+ years managing engineering teams.
• Hands-on depth in Kubernetes, service mesh, networking (DNS, TLS, HTTP proxies), and a major public cloud.
• Ability to judge AI-generated output and assess prompts.
• Experience with AI multi-agent or retrieval-augmented systems is a plus.

Responsibilities

• Lead, coach, and grow a team of platform engineers, building a culture of ownership and accountability.
• Set the technical vision and roadmap for Service Mesh and Identity, ensuring reliability and observability at fleet scale.
• Partner with architects and leaders to deliver features and proactively spot issues before they impact customers.
• Incorporate AI tools into daily development, maintaining architectural integrity and security.

Skills

Leadership

Team coaching

AI tools usage

System architecture

Prompts evaluation

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Service Mesh

Terraform

Argo

Prometheus

Grafana

Splunk

Elasticsearch

Go

Python

Job description

The Experience

Join Salesforce as a remote Senior Manager based in San Francisco, leading the Reliability Engineering team that runs our multi-cloud compute platform. Your team keeps Kubernetes, Service Mesh, Ingress Gateway, and Identity services secure and highly available across more than 1,000 clusters on AWS, Alibaba Cloud, and Google Cloud.

What You'll Actually Be Doing:

• Lead, coach, and grow a team of platform engineers, building a culture of ownership, accountability, and continuous improvement.


• Set the technical vision and roadmap for the next generation of Service Mesh and Identity, and keep the platform reliable, observable, and self-healing at fleet scale.


• Partner with architects, product owners, and engineering leaders to deliver features and spot issues before they affect customers.


• Develop each engineer's ability to work in an AI-augmented environment, own how AI tools fit into the team's daily development cycle, and guard architectural integrity, security, and technical standards as AI-generated code increases.

You're Our Person If:

• You have 10+ years of software engineering experience, including 3+ years managing engineering teams, with hands‑on depth in Kubernetes, service mesh, networking (DNS, TLS, HTTP proxies), and a major public cloud.


• You use AI development tools hands‑on, and you have the technical depth to judge the architecture and quality of AI-generated output.


• You assess candidates on their ability to write effective prompts, evaluate AI outputs, and orchestrate multi-agent workflows, in addition to core technical skills.


• A related technical degree required.

Even Better If:

• You have programming experience in Go or Python.


• You have used infrastructure-as-code and delivery tools such as Terraform and Argo.


• You have used observability tools such as Prometheus, Grafana, Splunk, or Elasticsearch.


• You have experience building AI multi-agent or retrieval-augmented generation systems, or leading open-source contribution strategy.