AI Engineer, Spectro Cloud
$140-180k
OTE
Integrated Kubernetes platform
Job no longer available
Integrated Kubernetes platform
201-500 employees
Job no longer available
$140-180k
OTE
201-500 employees
Company mission
To make infrastructure boundaryless for the enterprise, from data center to edge.
Role
Who you are
- We are seeking self-starters and individuals eager to help shape the future of this new team
- We’re looking for someone who isn't afraid to share recommendations and guidance on AI initiatives and on adopting AI in an organization
- If you enjoy working in a highly technical environment with autonomy, at a rapid pace, and with regular challenges, then this role is right for you
- We don’t expect the ideal candidate to check every box, but the items below are things we look for when reviewing candidates. Do not let this discourage you from applying
- Knowledge and experience with AI topics, ranging from agentic systems, model tuning, model deployment, MCP server development, and so on
- Highly proficient with at least one of the following programming languages: Python, Go, or JavaScript/TypeScript
- Experience with application testing and continuous integration/continuous delivery (CI/CD)
- At least 2+ years of experience maintaining and building production applications
- Project management experience. You are capable of leading and driving projects, such as proof-of-concept and the rollout of a new technical solution organization-wide
- Excellent communication skills, both written and oral
- Experience with Infrastructure as Code, preferably Terraform
- Experience with public cloud providers (AWS, Azure, GCP, Oracle)
- Understanding of containers and how container orchestration systems work, such as Kubernetes
- Displays a passion for learning and exploring new technologies
- A self-starter with a strong sense of ownership
- Excellent problem-solving and analytical skills, with a proactive approach to challenges
What the job involves
- As an AI engineer, you will help drive and lead internal efforts to advance AI adoption across the company, as well as research, develop, and maintain AI capabilities in our products
- You will work closely with our AI Product Manager, Head of AI, and several other engineering teams
- This role will require you to wear different hats; one moment you are building a solution, the next you may be engaging with risk compliance and legal to define the guardrails for a product or tool rollout
Application process
- Your time is valuable, so we want to ensure we respect your time and the effort you put into the hiring process. The interview process is divided into three sections: a screening interview, a technical interview, and a culture and team fit interview
- Screening Interview—This is a thirty-minute interview during which we verify whether we are a good fit for each other. We’ll ask questions to learn more about your career experience
- Technical Interview - This is an hour long interview where we verify your technical skills and knowledge. A take-home assignment is part of the interview and will be reviewed during the interview
- Culture/Team Interview—This is a thirty-minute interview when we focus on your experience working in a team setting. We'll get signal on organizational core values and culture fit
Our take
Since its release in 2014, Kubernetes has seen widespread adoption as a cloud-native data center for software companies and those using clusters of tools. Spectro Cloud helps companies and organizations using Kubernetes to deploy and manage the software across all stages of a product’s life cycle.
Founded by former employees of legacy software company Cisco, Spectro Cloud was created in 2019 to offer decentralized architecture, frictionless onboarding, management, and security for application building. Its Kubernetes management platform, Palette, works end-to-end to support the product lifecycle, allowing users to build for "what they need now and in the future."
As enterprises grapple with soaring AI infrastructure costs and underutilized GPUs, the company's new platform PaletteAI, with Nvidia integration, positions the company to tackle one of the industry's most persistent pain points - efficiency. By simplifying deployment and dramatically improving GPU utilization, Spectro Cloud is carving out a compelling role as the connective layer helping organizations turn expansive AI investments into real value.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Nov 2024
$75m
SERIES C
Mar 2022
$40m
SERIES B
Total funding: $142.5m
Company HQ
North San Jose, San Jose, CA
Leadership
Tenry Fu
(Co-Founder & CEO)Previously a Senior Director at Cisco, CTO at CliQr Technologies, Staff Engineer at VMware Inc and Software Engineer at McAfee Inc.
Saad Malik
(Co-Founder & CTO)Previously a Director of Engineering at Cisco and a Software Engineering Manager at CliQr Technologies.
Joshi Gautam
(Co-Founder & Engineering VP)Previously a Director of Engineering at Cisco, VP of Engineering at CliQr Technologies and Engineer at Mavatar Technologies.
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