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Cloud Optimization Engineer (398)

GPTW-certified company that partners with American software product companies to scale their development footprint, offering staff augmentation and employer-of-record services.
Cloud
Mid-Level Software Engineer
Remote
3+ years of experience
Enterprise SaaS

Description For Cloud Optimization Engineer (398)

Ubiminds, a GPTW-certified company, is seeking a Cloud Optimization Engineer for their client's SaaS platform specializing in cloud cost management and FinOps. This role combines technical expertise with business impact, focusing on analyzing and optimizing Azure cloud architectures. You'll work with cutting-edge technology to help enterprise customers make cost-effective decisions across their cloud environments.

The position offers a unique opportunity to work with a platform that processes real-time billing and usage data from various cloud, SaaS, and PaaS providers. You'll be developing automated insights, collaborating with data science teams on AI/ML integration, and directly impacting enterprise customers' cloud optimization strategies.

The ideal candidate should have strong Azure expertise, particularly with Databricks, Snowflake, and Kubernetes. You'll need excellent analytical skills and the ability to translate technical insights into actionable recommendations. The role requires working in EST timezone hours, though with flexibility, and demands strong communication skills as you'll be working cross-functionally with various teams.

This opportunity provides numerous benefits, including a remote-first environment, provided MacBook, professional development opportunities, and access to a vibrant office in Florianópolis. The position offers a perfect blend of technical challenge and business impact, making it ideal for someone passionate about cloud optimization and eager to work in an international environment.

Last updated 16 days ago

Responsibilities For Cloud Optimization Engineer (398)

  • Analyze Azure cloud workloads to identify inefficiencies and cost-saving opportunities
  • Design and document scalable algorithms that automate the detection of waste
  • Collaborate with data science to enhance insights using AI/ML
  • Research new strategies and test their reliability through validation methods
  • Partner with customers to deliver actionable recommendations and optimization guidance
  • Stay current on evolving cloud pricing models and trends across Azure and other platforms

Requirements For Cloud Optimization Engineer (398)

Kubernetes
  • Advanced/fluent English skills with excellent written and verbal communication
  • Ability to work 9-5 EST timezone
  • Deep experience with Azure (Databricks, Snowflake, and/or Kubernetes)
  • Proven ability to identify cloud inefficiencies and design optimization algorithms
  • Strong analytical and technical problem-solving skills
  • Excellent documentation and communication skills
  • Experience working cross-functionally with product, engineering, and customer success

Benefits For Cloud Optimization Engineer (398)

  • Placement in a product-based company
  • Full back-office support
  • Remote-first policy
  • MacBook provided
  • Growth opportunities through tech talks and chapter meetings
  • Free English lessons with native speakers
  • Candidate Referral bonus
  • Access to Florianópolis headquarters with massages, snacks, and games

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