Cloud FinOps Engineer

Description

Tango is a successful, market leader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years.

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans, and monetize their talents.

Tango live stream was founded in 2018 and is powered by 500+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”.

The best way to describe Tango's work style is not to use the word “impossible”. We believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and of course our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).

Do you want to join the party?

Responsibilities

Tango operates a multi-vendor infrastructure footprint spanning cloud platforms, content delivery, managed data services, CI/CD and others.

We run a mature optimization practice and are taking it to the next stage: AI-leveraged visibility, analysis, and optimization research. The Cloud FinOps Engineer is the operator and builder behind that move.

• Run the day-to-day FinOps operation: integrate cost data, manage the dashboard portfolio, conduct daily cost analysis, investigate anomalies, and report findings.
• Build AI-leveraged analytics for cost visibility, ROI, unit economy, trend health, and optimization research across the full vendor surface.
• Drive cost allocation and attribution down to domain and feature level.
• Chargeback, per-team cost reporting and financial accountability.
• Productize resource utilization and rightsizing: turn ad-hoc analysis into continuous recommendations routed to owning teams.
• Build cost-control guardrails for high-volatility spend categories, especially AI services.
  
  
  

Requirements

• Hands-on experience with a major cloud platform (GCP, AWS, or Azure); GCP preferred.
• Strong SQL — comfortable writing analytical queries on large datasets, any dialect.
• Experience with any modern BI or data visualization tool (Looker, Tableau, Power BI, or similar).
• Python for automation, data analysis, and integration work.
• AI build literacy — comfortable wiring LLMs into analytical pipelines, not just consuming them.
• Cost-anomaly investigation instinct — ability to look at a spike and form a working hypothesis quickly.
• Self-direction — proposes and executes research without daily steer.
  
  
  

Nice to have

• Kubernetes — read manifests, reason about resource requests.
• Terraform or other IaC for cost-related configuration enforcement.
• FinOps Foundation Certified Practitioner (FOCP).
• Prior experience with large-scale cloud environments.
  
  
  

If this sounds like you, apply and help empower live entertainers and creators to build independent businesses around their live talents.