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Infrastructure Engineer
2 months ago
We are seeking a highly skilled Solutions Architect to join our team at Cleric. As a key member of our organization, you will play a critical role in bridging the gap between our product and our customers' needs.
Key Responsibilities- Technical Relationship Management: Own the technical relationship with key accounts, ensuring seamless integration and support.
- Deployment and Customization: Deploy Cleric at the customer site, contribute product changes to ensure compliance with customer requirements.
- Performance Analysis and Improvement: Analyze Cleric's performance from telemetry, contribute product features to enhance performance.
- Relationship Building: Build strong relationships with technical decision-makers within customer organizations.
- Product Feedback and Roadmap Development: Provide valuable product feedback to our engineering team, directly influencing Cleric's roadmap.
- Integration Development: Develop new integrations to expand Cleric's capabilities.
- Technical Expertise: 5+ years of experience as a software engineer, with deep knowledge of Kubernetes, Helm, and cloud infrastructure.
- Customer-Facing Skills: Strong customer-facing skills, with the ability to explain complex technical concepts simply.
- Problem-Solving: Ability to architect solutions under pressure, with experience in objection handling and navigating technical discussions.
- Bonus Requirements: Understanding of Large Language Models (LLMs) and/or background in Site Reliability Engineering (SRE) or DevOps.
- Attention to Detail: High attention to detail, with the ability to thrive in a fast-paced, evolving environment.
- Technical Savvy: Strong technical skills, with the ability to translate between customer needs and product capabilities.
- Culture Fit: Genuine interest in AI and its applications in infrastructure management, with a passion for working in a sports team-like environment.
- Collaborative Culture: We value excitement and chemistry, bringing in the right people who align with our vision.
- AI-First Approach: We don't simply build AI products; we augment ourselves with it.
- Remote Work Options: This role is open to remote candidates in US time zones.
- Intro Call and Technical Screen
- Coding Exercise
- System Design and Customer Scenarios
Compensation Range: $120K - $150K