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Cloud Support Engineer

AlphaSenseSingapore, Central, SingaporeCustomer Success
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Salary
Not listed
Job type
Full-time
Posted
28 May 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Cloud Support Engineer position at AlphaSense is a hybrid opportunity based in Singapore, designed for professionals with 2 to 4 years of relevant experience in technical support, cloud operations, or IT environments. This role suits a curious and proactive engineer who wants to own technical challenges end-to-end and act as a crucial bridge between customers and engineering teams.

Key Responsibilities

Deliver exceptional technical support by serving as the second line of defense for customer queries and driving assigned tickets to resolution.
Investigate, diagnose, and resolve technical issues across SaaS and private cloud environments using logs, traces, and reproducible test cases.
Collaborate closely with senior engineers, account teams, and R&D departments across multiple regions and time zones.
Create and maintain internal documentation, including runbooks, Knowledge Engineering Database (KEDB) articles, and FAQs.
Utilize artificial intelligence tools daily for log analysis, technical investigations, documentation, and customer communication.
Represent the customer voice in internal initiatives to maximize platform value and surface potential risks early.

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
2 to 4 years of professional experience in technical support, cloud operations, IT operations, or a related domain.
Working proficiency with command-line interface tools such as kubectl and awscli, alongside scripting capabilities in Python, JavaScript, or similar languages.
Working knowledge of REST APIs, GraphQL, and MCP-related troubleshooting.
Familiarity with connecting Large Language Models to external tools, including multi-agent systems.
Exposure to logging and alerting systems like Prometheus, Grafana, and FireHydrant.
Demonstrated AI fluency with practical examples of utilizing AI in daily operations.
Experience managing the complete lifecycle of customer support cases from initial inquiry to bug reporting and resolution.

Nice to Have

Experience in networking and troubleshooting complex network issues.
Troubleshooting experience in major cloud platforms, preferably AWS, and containerized environments using Docker or Kubernetes.
Extensive experience working with GraphQL and other web APIs.
Hands-on experience with Infrastructure as Code tools such as Crossplane.
Experience working with search technologies and data storages like Elasticsearch, Vespa, MongoDB, or MySQL.
Familiarity or experience with the Java programming language.
Experience with standard software release lifecycles.

Skills and Tools

Python
JavaScript
AWS
Kubernetes
Docker
kubectl
awscli
REST APIs and GraphQL
Prometheus and Grafana

About the Company

AlphaSense provides a market intelligence and search platform trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011 and headquartered in New York City, the company employs over 2,000 people globally across offices in the United States, United Kingdom, Finland, India, Singapore, Canada, and Ireland. The organization leverages proven AI-based technology to help professionals extract actionable insights from extensive public and private content universes.

How to Apply

Candidates should apply directly on the official AlphaSense careers page to ensure the security of their application and personal information.

Skills and tech stack

PythonAWSKubernetesDockerJavaScriptJava

Questions candidates ask

What is the location of the Cloud Support Engineer role?

The role is based in Singapore on a hybrid work model.

How many years of experience are required?

Candidates need 2 to 4 years of experience in technical support, IT operations, cloud operations, or a related field.

What technical skills are necessary for this position?

Required technical skills include working proficiency with CLI tools like kubectl and awscli, scripting in Python or JavaScript, working knowledge of REST APIs and GraphQL, and exposure to logging and alerting systems.

What are the growth paths from this role?

Growth paths include progression within the support function to a Senior Cloud Support Engineer role or transitioning into the Site Reliability Engineering team.

How is AI used in this job?

Engineers use AI tools daily for technical investigations, log analysis, documentation, and customer communication, building repeatable prompts and workflows.

Ready to apply?

The application is on the official AlphaSense careers page.

Apply on company site