AlphaSense
Market Intelligence
CloudSupportEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Cloud Support Engineer at AlphaSense. Skills: Cloud Support, Technical Support, Troubleshooting, CLI tools, Scripting, GraphQL, REST APIs, LLMs, Cloud Platforms (AWS), Containerization (Kubernetes, Docker). Resolve in-scope issues completely. Escalate out-of-scope issues to the correct engineering domain with high-quality artifacts”
What You'll Achieve.
Remove uncertainty from decision-making; Deliver insights that matter from content you can trust; Resolve in-scope issues completely; Escalate out-of-scope issues to the correct engineering domain with high-quality artifacts; Close loops on commitments
Industry & Context.
Resolve in-scope issues completely; Escalate out-of-scope issues to the correct engineering domain with high-quality artifacts; Troubleshoot issues
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience), 2 - 4 years in technical support, IT operations, cloud operations or a related field, Working proficiency with CLI tools (e. g. , kubectl, awscli) and scripting skills in Python, JavaScript or similar, Working knowledge of GraphQL, REST APIs and MCP-related troubleshooting, Familiarity with connecting LLMs to external tools, including multi-agent systems, Exposure to alerting and logging systems (e. g. , Prometheus, Grafana, FireHydrant), Demonstrated AI fluency in day-to-day work: can speak to examples of how AI has changed the way they work, Experience managing customer support cases through their lifecycle from inquiry, triage, bug reporting, through to resolution, Ability to communicate complex technical concepts clearly to customers and team members
Nice to Have
Experience in networking and troubleshooting complex network issues, Experience troubleshooting in at least one major cloud platform (preferably AWS) and containerized environments using Kubernetes or Docker, Extensive experience working with GraphQL and other web APIs, Hands-on experience with Infrastructure as Code tools, such as Crossplane, and related troubleshooting, Experience with Search Technologies and Data Storages (e. g. Vespa, ElasticSearch, MongoDB, MySQL), Experience or familiarity with the Java programming language, Experience with standard software release lifecycles
What You'll Do.
Resolve in-scope issues completely
Escalate out-of-scope issues to the correct engineering domain with high-quality artifacts
Manage customer support cases through their lifecycle from inquiry
through to resolution
Connect LLMs to external tools
including multi-agent systems
Work confidently with kubectl
and at least one scripting language
Troubleshoot issues in cloud platforms and containerized environments
How You'll Work.
Team & Collaboration
Collaborate cross-functionally; Partner effectively within the team and across regions and time; Share knowledge proactively; Close loops on commitments; Build working relationships with both account teams and R; Share what works with the team
Communication Scope
Ability to communicate complex technical concepts clearly to customers and team members
Full Job Description
About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S work confidently with kubectl, awscli, and at least one scripting language. Resolve in-scope issues completely and escalate out-of-scope issues to the correct engineering domain with high-quality artifacts. Collaborate cross-functionally: Partner effectively within the team and across regions and time zones; share knowledge proactively and close loops on commitments. Build working relationships with both account teams and R share what works with the team. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). 2 - 4 years in technical support, IT operations, cloud operations or a related field. Working proficiency with CLI tools (e.g., kubectl, awscli) and scripting skills in Python, JavaScript or similar. Working knowledge of GraphQL, REST APIs and MCP-related troubleshooting. Familiarity with connecting LLMs to external tools, including multi-agent systems. Exposure to alerting and logging systems (e.g., Prometheus, Grafana, FireHydrant). Demonstrated AI fluency in day-to-day work:
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