Senior AI-Driven SRE/DevOps Engineer (Forward Deployed)

LeoForce; Pleasanton (CA); On-site; USD 300,000 - 350,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Free meals and snacks

Equity opportunities

Mentorship from founders

Job summary

LeoForce is seeking a senior-level SRE leader to implement and optimize an AI-powered platform across production and pre-production environments in Pleasanton, CA. You will own end-to-end customer deployments, monitor deployments for value, and guide architectural decisions with a focus on reliability and security.

You will design scalable cloud infrastructure, lead migrations from legacy systems, and collaborate with product and engineering teams to drive operational excellence and measurable

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 6+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or similar roles with technical leadership.
• Strong programming experience in Python, Go, or Java.
• Hands-on experience with public cloud platforms (AWS, Azure, or Google Cloud).
• Strong knowledge of Kubernetes, IaC (Terraform, CloudFormation, Ansible), and CI/CD pipelines.
• Experience with observability platforms, ITSM systems, and incident management tools, including systems integration.
• Experience designing and deploying production-grade AI or automation workflows with governance and evaluation frameworks.
• Understanding of enterprise security concepts including RBAC, encryption, identity management, auditing, and secure networking.

Responsibilities

• Implement and optimize an AI-powered SRE platform to meet customer needs across production and pre-production environments.
• Proactively monitor customer deployments to ensure customers maximize value from the platform.
• Identify latent reliability issues such as misconfigurations, deployment regressions, and scaling challenges within customer environments.
• Plan, design, build, and maintain highly scalable, reliable, and efficient cloud infrastructure.
• Lead enterprise migrations from legacy alerting, AIOps, and incident management platforms, including correlation rule migration, phased cutovers, and production go-live execution.
• Design, build, and optimize alert normalization and correlation policies using conditions, regular expressions, field extraction, and customized workflows.
• Integrate the platform with customer operational systems, including ITSM, collaboration, observability, source control, and documentation platforms.
• Validate and continuously improve AI investigation quality by tuning enrichment, root cause analysis accuracy, and investigation workflows.
• Own customer implementations from technical discovery through solution design, implementation, user acceptance testing, production go-live, stabilization, and ongoing optimization.
• Develop reusable deployment modules, reference architectures, implementation guides, and operational runbooks to accelerate future deployments.

Skills

Python

Go

Java

CI/CD pipelines

APIs integration

RBAC and security concepts

Education

Bachelor's degree in Computer Science or Engineering (or equivalent practical experience)

Tools

Kubernetes

Terraform

CloudFormation

Job description

LeoForce is seeking a senior-level SRE leader to implement and optimize an AI-powered platform across production and pre-production environments in Pleasanton, CA. You will own end-to-end customer deployments, monitor deployments for value, and guide architectural decisions with a focus on reliability and security.

You will design scalable cloud infrastructure, lead migrations from legacy systems, and collaborate with product and engineering teams to drive operational excellence and measurable