Lead Cloud Optmization Engineer (361)
Want to get to the next step in your international career?
We can support you!
Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their development footprint. Ubi custom-curates Brazilian top 5% talent for their LATAM strategy, offering a unique combo of staff augmentation and employer-of-record services.
One of our clients is a SaaS platform at the intersection of next-generation cloud cost management and FinOps.
The company ingests billing and usage data from all cloud, SaaS, and PaaS providers, organizes it in real-time according to the customers’ business structures, lets customers view it at any level of time or resource granularity, and ultimately empowers them to make more informed business decisions.
Apply now! This is a unique opportunity for you to not only accelerate your international career but also work in a groundbreaking company.
Challenge
As a Lead Cloud Optmization Engineer, you will put two of your passions — data analysis and empowering customers — to work every day. You’ll work directly with customers to provide cost intelligence observations, facilitate conversations around causes/solutions to cost growth, and help guide them on their FinOps journey. These conversations might be about specific resource usage with engineering, tagging strategies with operations, COGS with finance, or unit cost trends with the executive…all in the same day!
What you'll do
- Lead and mentor a team of cloud optimization experts to deliver innovative solutions that discover and automate cloud cost and performance optimization.
- Act as a player/coach by contributing directly to code development, infrastructure automation, and technical design while driving your team’s success.
- Collaborate with customers to understand their cloud usage patterns, business objectives, and pain points related to cloud costs and scalability.
- Design and implement algorithms and tools that analyze cloud usage (AWS, Azure, GCP) to surface optimization opportunities and deliver data-driven recommendations.
- ICoordinate optimization research across core cloud platforms as well as services such as Snowflake, Databricks, OpenAI, Anthropic, and other AI and data infrastructure services
- Ensure cloud solutions adhere to best practices for reliability, performance, security, and cost efficiency.
- Engage directly with customers, conducting technical briefings, deep-dive optimization discussions, and collaborative solution sessions.
- Work closely with our data science team to integrate ML and AI into the cost optimization process, developing models and strategies that drive automated insights and recommendations.
- Collaborate with our data science team to develop models for cloud cost forecasting, allocation, and governance tailored to the unique needs of our customers.
- Stay current with emerging trends, pricing updates, and best practices across cloud platforms to maintain a competitive edge.
In order to succeed in this position, you will need:
Mandatory skills
- Advanced/fluent English skills – Excellent written and verbal communication skills
- You are comfortable working 9-5 EST - we have a fair amount of flexibility for people to get their work done whenever works for them, but our core hours are Eastern Timezone.
- Strong experience consulting on AWS, GCP and/or Azure services/solutions required
- Proven experience leading technical teams, with a track record of delivering cloud-based solutions and optimizations.
- Strong hands-on experience with AWS (knowledge of Azure and GCP is a plus), including deep familiarity with pricing models and cloud-native services.
- Solid background in Cloud, DevOps, or Site Reliability Engineering (SRE), with expertise in building well-architected, scalable, and cost-effective systems.
- Proficiency in infrastructure automation and development, with experience in tools and languages such as Python, Terraform, or similar.
- Strong data analysis skills, including experience with SQL, cloud monitoring tools, and cost management platforms.
- Exceptional ability to communicate complex cloud architecture and cost optimization strategies to technical and non-technical stakeholders.
- Prior experience in a client-facing role, with a passion for delivering value-driven solutions and exceptional customer experiences.
- A "Get Stuff Done" mindset, thriving in fast-paced, collaborative environments where innovation and execution are key.
- Passion for continuous learning and staying ahead of cloud technology advancement
Nice to have
- You are a FinOps Certified Practitioner
- You hold at least one AWS, GCP and/or Azure Certification
- You’ve built BI dashboards before (Quicksight, Looker, Domo, Tableau, etc…)
- You have experience authoring SQL
Perks and Benefits
As a Lead Cloud Optmization Engineer at @Ubiminds, you:
• Are placed in a product-based company, with the same treatment as their full-time employees.
• Have our full back-office support, from career guidance to HR and concierge services.
• Enjoy our remote-first policy – we are a distributed team, after all.
• Get your own MacBook (none of that "bring your own device" stuff here).
• Have access to growth opportunities with other amazing technology professionals, through tech talks, chapter meetings, and even remote happy hours for tons of fun!
• Improve your English through free lessons with a native English speaker - get to the next level on your communication skills!
• Candidate Referral bonus (promote Ubi to your tech friends, and get paid for it!)
• Miss working in the office? Our cool Florianópolis headquarters is available, whenever you want, with weekly quick massages & tasty snacks, soft drinks, and games
How our process works
• An initial general quick chat with a Tech Recruiter
• Interview with Tech Recruiter (specific chat about the job opening)
• Client process (this may vary)
• Offer
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