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The Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

Lead technical qualification, POCs, and tailored demonstrations of PerfectScale to prospects. Develop business cases/ROI, own technical wins, present at events, and document engagement metrics to drive Kubernetes cost and performance optimization sales.

As a Full Stack Engineer, you will develop and maintain cloud infrastructure for PerfectScale, enhancing performance and cost efficiency through collaboration and clean coding practices.

As a Full Stack Software Engineer, you'll develop and maintain infrastructure services for PerfectScale, improving multi-cloud performance and cost efficiency while collaborating with engineers on scalable solutions.

As a Full Stack Engineer, you'll build scalable cloud systems, design and maintain infrastructure, implement features, and collaborate with teams to enhance performance and cost efficiency in Kubernetes.

As a Full Stack Engineer, you will build and maintain cloud infrastructure and services, focusing on Kubernetes and enhancing cost efficiency. Responsibilities include collaborating on features, maintaining code quality, and participating in design discussions.

As a Full Stack Engineer, you will develop and maintain scalable multi-cloud systems, enhance performance, and collaborate on platform components for cost optimization workflows.

The Senior Customer Success Manager leads customer relations, ensuring adoption and satisfaction while managing risk and advocating for customer needs. Responsibilities include onboarding, engagement, and account growth across strategic accounts using DoiT Cloud Intelligence.

The Customer Success Manager will manage customer accounts, ensuring satisfaction through education, relationship building, and technical advocacy. Responsibilities include onboarding, risk management, and acting as a customer advocate.

As a Principal Data Engineer, you will design and build large-scale backend services and data pipelines, lead architectural decisions, reduce technical debt, and mentor junior engineers.