Solutions Engineer, EMEA - SELECT by DoiT
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About the role
DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production. With extensive experience across various cloud environments, we possess deep specializations in critical areas such as Kubernetes, GenAI, and CloudOps. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide. Our flagship offerings include DoiT Cloud Intelligence, which uniquely combines advanced technology with human insight, enabling us to solve complex multicloud challenges and drive significant efficiency for our clients, and PerfectScale for Kubernetes, a pioneering Kubernetes optimization and management solution. By integrating advanced algorithms and ML with built-in Kubernetes expertise, PerfectScale enables organizations to achieve unparalleled Kubernetes efficiency. The PerfectScale for Kubernetes platform offers: A seamless and intuitive onboarding experience A user-friendly interface for easy navigation and management Unique easy to act on insights for achieving an optimal balanced state of Kubernetes performance and cost A powerful autonomous optimization engine that intelligently manages Kubernetes resource allocation with minimal human intervention As a Solutions Engineer, PerfectScale by DoiT, you will be a pivotal technical leader, collaborating closely with our Account Executive team to deliver exceptional value throughout the customer journey, specifically focusing on our cutting-edge Kubernetes optimization capabilities.
Responsibilities
- Lead technical discovery with AEs - uncover Kubernetes challenges, cost goals, and business objectives
- Own POC preparation, management, and technical outcomes for PerfectScale engagement
- Build and deliver tailored PerfectScale demos addressing prospect-specific use cases
- Develop ROI analyses and business cases that quantify cost savings and performance gains
- Become the internal PerfectScale go-to - guide prospects from evaluation to implementation
- Present at industry events showcasing Kubernetes optimization expertise
- Maintain accurate, timely data entry across internal business tools
- About You
Requirements
- 5+ years in Solutions Engineering within B2B SaaS, selling to DevOps, SRE, Platform Engineering, or FinOps teams
- Deep hands-on Kubernetes knowledge across EKS, AKS, GKE, and OpenShift
- Experience with cloud SaaS tools - observability, FinOps, or optimization platforms
- Strong data analysis skills using Prometheus, Grafana, or Datadog - identifying trends and extracting actionable insights
- Proven ability to build compelling business cases using product data
- Clear communicator - translates complex Kubernetes concepts for both technical and executive audiences
- Experience presenting to C-level stakeholders on cloud cost and Kubernetes strategy
- Background as a DevOps/Platform/SRE/FinOps engineer is a strong plus
- Are you a Do'er?
- Be your truest self. Work on your terms. Make a difference.
- We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. Click here to learn more about our core values.
- Sounds too good to be true? Check out our Glassdoor Page.
- Full-time employee benefits include
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
- #LI-Remote
Benefits
Additional Information
Location: Our Solutions Engineer, SELECT by DoiT, will be an integral part of our Solutions Engineering team in EMEA. This role is based remotely in the UK, Netherlands, Sweden and Estonia.
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