Summary
Join AlphaSense's dynamic Customer & Product Support team as a Cloud Support Engineer. You will be a key technical resource, providing exceptional support and troubleshooting complex issues related to SaaS and private cloud environments. Collaborate with cross-functional teams, contribute to knowledge sharing, and advocate for customers. Leverage your expertise in cloud technologies, distributed systems, and AI-driven search platforms to ensure smooth deployment and optimization of customer solutions. This role requires strong communication, problem-solving skills, and a proactive customer-first mindset. The ideal candidate will thrive in a fast-paced environment and enjoy solving high-impact problems.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)
- Experience troubleshooting in at least one major cloud platform (preferably AWS) and containerized environments using Kubernetes or Docker
- Proficiency in CLI tools (e.g., kubectl, awscli) and scripting skills in Python, JavaScript, or similar
- Understand RESTful APIs and related troubleshooting
- Experience with alerting/logging systems (e.g., Prometheus, Grafana, FireHydrant)
- Demonstrated ability to communicate complex technical concepts to customers and team members
- Experience in managing customer support cases throughout their lifecycle, including inquiry, triage, bug reporting, and resolution
- Ability to create and maintain runbooks that ensure clear and actionable documentation for deeper troubleshooting procedures and Level 1 and 2 support training
Responsibilities
- Deliver exceptional technical support: Act as the second line of defense for technical queries, ensuring timely and effective resolution of customer issues through close collaboration between L1 support and R&D teams
- Troubleshoot and resolve technical challenges: Investigate, diagnose, and resolve issues related to both SaaS and private cloud environments, including AWS infrastructure and Kubernetes workloads, providing necessary detail for Product and Engineering to carry forward complex cases
- Collaborate cross-functionally: Partner with the wider Customer & Product Support organization, Product and Engineering and Customer Education teams to relay customer feedback, identify opportunities for improvement, and contribute to strategic product enhancements
- Contribute to knowledge sharing: Create and update support documentation, KEDBs, FAQs, and tutorials to empower customers and internal teams
- Be an advocate for customers: Represent the voice of the customer in internal discussions and initiatives to maximize the value of our platform and products
- Be an expert on our product and continuously build your knowledge: Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge
Preferred Qualifications
- Experience in networking and troubleshooting complex network issues
- Experience working with GraphQL
- Hands-on experience with Infrastructure as Code tools, such as Crossplane, and related troubleshooting
- Experience with Search Technologies and Data Storages (e.g. ElasticSearch, MongoDB, MySQL)
- Experience with standard software release lifecycles
Benefits
- Performance-based bonus
- Equity
- A generous benefits program
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