AI Engineer, Spectro Cloud
$160-192k
+ Equity
More information about location
3 days a week in office
Integrated Kubernetes platform
Be an early applicant
Integrated Kubernetes platform
201-500 employees
Be an early applicant
$160-192k
+ Equity
More information about location
3 days a week in office
201-500 employees
Company mission
To make infrastructure boundaryless for the enterprise, from data center to edge.
Role
Who you are
- You must be comfortable teaching and explaining ideas to non-technical audiences
- Experience deploying and managing applications in production will help you propose and build sustainable solutions
- 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
- Bachelor's Degree or an Advanced Degree in Computer Science, Information Technology, or a similar field
- 4+ years of experience as a Software Engineer, SRE, ML Engineer, Solutions Architect, or similar technical role is required
- 4+ years of experience maintaining and building production applications
- Possesses a broad knowledge and experience across AI topics, including agentbased systems, model tuning, model deployment, MCP server development, and more
- Highly proficient with at least one of the following programming languages: Python, Go, or JavaScript/TypeScript (We prefer Go)
- Experience with application testing and continuous integration/continuous delivery (CI/CD). This will come into play as you build and maintain solutions the AI team will own and support
- 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. You will be expected to participate and lead office hours. You must be able to articulate technical concepts to engineers, non-engineers, and executives
- Experience with Infrastructure as Code, preferably Terraform
- Experience with public cloud providers (AWS, Azure, GCP, Oracle), and on-prem infrastructure
- Deep 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 be part of internal efforts to advance AI adoption across the company
- You will design, build, and maintain internally focused solutions that help promote agentic workflows and automations that improve employee productivity
- This role will require you to wear different hats; one moment you are building a technical solution, and the next you may be engaging with risk, compliance, and legal to help define guardrails for a product or tool rollout
- You will lead proof-of-concept initiatives, engage with employees during AI Office Hours to provide advice, and work with our internal partners to establish AI processes and guardrails
- You are expected to have experience with various AI/ML workflows and AI development practices, primarily to advise, but also to shape the future of our products
- We are an infrastructure-focused software company, so you are expected to have a strong understanding of infrastructure, spanning cloud and bare-metal environments
- You should be comfortable creating automation solutions, with and without AI, that help us promote effective AI usage within the company
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 four 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 - an hour 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. The questions here focus on your experience working in a team setting. Other questions check for 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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