# asobbi — Senior Engineering Manager (Neocloud Infrastructure)

- Generated: 2026-09-11 07:44:21 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4463961923/
- Provider: LinkedIn
- Posted: approximately 2026-09-11 05:44 AM EDT (from '2 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp
- Applicants: Be among the first 25 applicants
- Work model/location: Remote-first — United States
- Compensation: Up to $230,000 base plus bonus and equity
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: BORDERLINE — 89%

## Direct-match strengths

AWS cloud infrastructure, Linux, Kubernetes, infrastructure as code, automation, CI/CD, observability, reliability, incident improvement, distributed systems, platform operations, security collaboration, team development, and AI-assisted engineering.

## Hard or material gaps

Material overqualification/down-level risk: this is a Senior Manager role, while Keith's recent scope includes Senior Director, VP, and founder leadership. His infrastructure-as-code depth is strongest in AWS CDK and CloudFormation rather than the named Terraform or Ansible examples. GPU/HPC, bare-metal, and OpenStack experience is limited or unsupported, but those are preferred rather than essential.

## Evidence map

1. 8+ years platform, SRE, or infrastructure engineering (weight 3, evidence 3/3) — Fifteen years of AWS plus production platform, operations, reliability, and infrastructure work.
2. Technical leadership and engineering management (weight 3, evidence 3/3) — Direct teams, managers, hiring, coaching, reviews, budgets, and delivery.
3. Linux and Kubernetes in production (weight 3, evidence 3/3) — Thirty years of Linux and direct Kubernetes/container-platform experience.
4. Large-scale cloud or infrastructure platforms (weight 3, evidence 2/3) — Deep enterprise AWS and distributed-platform experience; neocloud scale is adjacent.
5. Automation and infrastructure as code (weight 3, evidence 3/3) — Direct AWS CDK, CloudFormation, CI/CD, deployment automation, and operations.
6. Reliability, incidents, and continuous improvement (weight 3, evidence 3/3) — Direct availability, observability, operational ownership, root-cause improvement, and governance.
7. GPU or HPC infrastructure (weight 1, evidence 1/3) — SageMaker/Deep Learning AMI exposure; infrastructure ownership is not claimed.
8. Bare-metal or OpenStack (weight 1, evidence 0/3) — Unsupported preferred technologies.
9. Observability and monitoring (weight 2, evidence 3/3) — Direct production observability, monitoring, evaluation, and operational metrics.
10. Build and scale engineering teams (weight 2, evidence 3/3) — Direct recruiting and development of teams up to 24 plus global technical communities.

## Keyword diagnostic

Direct coverage of every essential platform-leadership requirement; the application is positioned as a hands-on player-coach and avoids executive branding.

## Full normalized job description

Senior Manager, Platform Engineering | Remote (US) | up to $230k base salary + bonus + equity
Overview
We’re supporting a rapidly scaling AI infrastructure company that’s building the cloud platforms powering next-generation AI workloads.
Following significant growth and continued investment, they’re looking to hire a Senior
Technical Engineering Manager to lead the team responsible for the reliability, scalability and operational excellence of a large-scale cloud platform.
This is an opportunity to join a highly technical engineering organisation where you’ll shape both the platform and the team as the business continues to expand.
Why join?
Join one of the fastest-growing companies in AI infrastructure
Lead a high-calibre Platform Engineering team solving complex technical challenges
Play a key role in scaling a cloud platform supporting large-scale AI workloads
Influence engineering culture, operational excellence and technical direction
Remote-first environment with significant opportunities for career growth
What you’ll be doing
Lead and develop a team of Platform, SRE, Security and Automation Engineers
Own platform reliability, availability and operational performance
Drive incident management, post-mortems and continuous service improvements
Support new infrastructure deployments and platform expansion
Improve automation, Infrastructure as Code and operational tooling
Work closely with infrastructure, networking and engineering teams to deliver a highly scalable platform
Skills required
Essential
8+ years’ experience in Platform Engineering, SRE or Infrastructure Engineering
Previous technical leadership or engineering management experience
Strong Linux and Kubernetes production experience
Experience operating large-scale cloud or infrastructure platforms
Strong automation and Infrastructure as Code skills (Terraform, Ansible or similar)
Nice to have
GPU infrastructure or HPC experience
Bare-metal infrastructure or OpenStack experience
Experience with observability and monitoring platforms
Experience building and scaling engineering teams
Passion for automation and AI-assisted engineering workflows
Next steps
Interested?
Apply directly or send me a message for a confidential discussion. I’d be happy to share further details about the opportunity and the company.

## Artifact metadata

- Resume: https://bit.ly/4iiB1XA
- Cover letter: https://bit.ly/4hpff2r
- Validation: PASS — 2-page resume (906 words), 1-page cover letter (220 words); PDF geometry, bounds, annotations, links, and visual pages verified.
- Google Drive used: No