Senior Forward Deployed Engineer (DevOps/SRE)

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

Location: Pleasanton,CA, US

Experience: Senior Level

Salary: $300,000 - $350,000 per year

Responsibilities

• Implement and optimize an AI-powered Site Reliability Engineering (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.
• Recommend best practices for implementing AI-powered SRE solutions.
• Plan, design, build, and maintain highly scalable, reliable, and efficient cloud infrastructure.
• Serve as the customer's technical advocate with internal engineering and product teams.
• Conduct post-incident reviews to identify root causes and implement preventative measures.
• Ensure security best practices are integrated into customer deployments.
• Train customer SRE, Operations, and Platform Engineering teams on platform usage and best practices.
• 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.
• Build proactive monitoring for customer deployments to identify issues before they impact customers.
• Own customer-facing project communications, including executive status updates, SLA documentation, escalation management, and implementation tracking.
• Develop long-term technical relationships with senior engineering leadership.
• Own customer implementations from technical discovery through solution design, implementation, user acceptance testing, production go-live, stabilization, and ongoing optimization.
• Translate ambiguous customer requirements into clear technical designs, milestones, acceptance criteria, and execution plans.
• Design and implement AI-powered investigation and automation workflows with appropriate guardrails, governance, deterministic fallbacks, and human oversight.
• Develop reusable deployment modules, reference architectures, implementation guides, and operational runbooks to accelerate future deployments.
• Define customer success metrics, establish baselines, measure operational improvements, and demonstrate business value through KPIs such as MTTR reduction and operational efficiency.
• Capture customer feedback and recurring implementation learnings to influence future product development.
• Foster a culture of continuous improvement and technical excellence.

Qualifications

• Customer-focused with deep empathy for SRE, DevOps, Platform Engineering, and IT Operations teams.
• 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 infrastructure-focused roles, including technical leadership or end-to-end customer delivery.
• Experience in Forward Deployed Engineering, Solutions Engineering, Technical Customer Success, or Professional Services is highly preferred.
• Strong programming experience in at least one language such as Python, Go, or Java.
• Hands-on experience with public cloud platforms (AWS, Azure, or Google Cloud Platform).
• Strong knowledge of Kubernetes, Infrastructure as Code (Terraform, CloudFormation, Ansible), and CI/CD pipelines.
• Practical experience using Generative AI and machine learning technologies to improve engineering productivity.
• Experience with observability platforms, ITSM systems, and incident management tools, including systems integration and data mapping.
• Strong troubleshooting, analytical, and debugging skills, including alert correlation, normalization, and regular expression development.
• Excellent written and verbal communication skills.
• Demonstrated ownership of enterprise software implementations from discovery through production deployment.
• Strong integration experience with APIs, webhooks, event-driven architectures, authentication (SSO/SAML), data transformations, synchronization, and enterprise application integrations.
• 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.
• Ability to operate effectively in ambiguous, fast-paced customer environments while balancing architecture with execution.
• Self-motivated, adaptable, and capable of managing shifting priorities while driving successful customer outcomes.

Preferred Qualifications

• Experience supporting customers operating AI infrastructure or AI-enabled platforms.
• Experience migrating customers from legacy alerting, AIOps, or incident management platforms.
• Experience building internal automation and tooling using Python, Node.js, Bash, or similar scripting languages.

A bit about us:

Backed by over $21M in capital from leading investors, they are building a next-generation AI product designed to transform how reliability engineering is done.

The founding team includes senior leaders and technical pioneers from industry giants like AWS, Cisco, VMware, and Gigamon - holding dozens of patents and having built critical systems at some of the most respected tech companies in the industry. This is a rare opportunity to join an early-stage team that’s solving tough technical problems in distributed systems, observability, and automation — all while shaping a product from the ground up.

Why join us?

Benefits

• Comprehensive medical, vision, and dental benefits.
• 401 (k) plans and commuter benefits.
• Free lunches, snacks, and top-of-the-line espressos!
• Equity that could change your life.
• High-impact role with plenty of mentorship opportunities from founders and other coworkers
• Collaborative coworkers with high IQ and high EQ. No politics. No bureaucracy. Open door policy.

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