FinOps AI / ML Engineer Manager
Chicagohybridmanager$94K – $294K
Posted today · via Workday
About this role
We Are: Accenture's Cloud Advisory practice is a market leader in helping global enterprises achieve measurable financial and operational value from their cloud investments. Our FinOps and Cloud Economics teams combine rigorous financial governance with automation, AI, and deep technical expertise to drive sustained savings and speed-to-value across AWS, Azure, and Google Cloud. We are a collaborative team of architects, engineers, financial analysts, and delivery experts who partner with world-class clients to transform how they manage, optimize, and govern cloud spend. You Are: A skilled solution architect and delivery leader with 8–12 years in cloud engineering, AI automation, or platform architecture who has spent 3–5 years leading FinOps automation programs.…
Read the full description on 1500 Accenture Do Brasil Ltda's site →
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: typescript, aws, azure, gcp, github actions…
2
Level fit
This role is manager-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Chicago. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
typescriptawsazuregcpgithub actionsgithubteams
