AlphaSense is Hiring Cloud Support Engineer

AlphaSense is hiring a Cloud Support Engineer in Bengaluru for candidates with 2–4 years of experience in cloud support, technical operations, Kubernetes, AWS, APIs, and SaaS environments. This role is ideal for professionals looking to build expertise in cloud operations, AI-powered platforms, troubleshooting, Kubernetes, AWS CLI, and Site Reliability Engineering (SRE).

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Job Details

Company: AlphaSense

Role: Cloud Support Engineer

Location: Bengaluru, Karnataka, India

Experience: 2 – 4 Years

Qualification: Bachelor’s Degree in Computer Science, IT, or related field

Employment Type: Full-Time

Department: Customer & Product Support

Expected Salary: ₹10 LPA – ₹22 LPA (Estimated)

Posted On: 20 May 2026

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About Company

AlphaSense is a leading AI-powered market intelligence platform trusted by more than 6,000 enterprise customers worldwide, including major S&P 500 companies. The platform delivers insights from financial research, company filings, transcripts, news, and proprietary enterprise data using advanced AI and search technologies.

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Key Skills Required

- AWS Cloud fundamentals

- Kubernetes and Docker

- CLI tools: kubectl, awscli

- Python or JavaScript scripting

- REST APIs and GraphQL

- SaaS troubleshooting

- Prometheus and Grafana monitoring

- Log analysis and debugging

- AI tools and automation workflows

- Customer support lifecycle management

- Linux fundamentals

- Networking concepts

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Roles & Responsibilities

- Provide L2 cloud and technical support for customer environments

- Investigate, diagnose, and resolve SaaS and cloud platform issues

- Troubleshoot logs, traces, APIs, and Kubernetes environments

- Work with AWS CLI, kubectl, and scripting tools

- Collaborate with Engineering, R&D, and customer support teams

- Create and maintain runbooks, FAQs, and technical documentation

- Escalate complex issues with proper debugging artifacts

- Monitor customer environments and improve issue resolution workflows

- Use AI tools for troubleshooting, log analysis, and documentation

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Preferred Skills

- AWS cloud troubleshooting experience

- Docker and Kubernetes administration

- Networking and distributed systems knowledge

- Infrastructure as Code (IaC) tools like Crossplane

- Elasticsearch, MongoDB, MySQL knowledge

- Java programming basics

- Search technologies and observability tools

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Career Growth Opportunities

- Senior Cloud Support Engineer

- Site Reliability Engineer (SRE)

- Cloud Operations Engineer

- DevOps Engineer

- Kubernetes Support Engineer

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Recommended Certifications (Based on Job Description)

- AWS Certified Solutions Architect Associate

- AWS SysOps Administrator Associate

- Certified Kubernetes Administrator (CKA)

- Prometheus Certified Associate

- Docker Certified Associate

- HashiCorp Terraform Associate

- Google Professional Cloud DevOps Engineer

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Interview Questions with Answers

1. What is Kubernetes?

Kubernetes is a container orchestration platform used to deploy, scale, and manage containerized applications.

2. What is the use of kubectl?

kubectl is the command-line tool used to manage Kubernetes clusters.

3. What is AWS CLI?

AWS CLI is a command-line tool used to manage AWS cloud services.

4. What is GraphQL?

GraphQL is a query language for APIs that allows clients to request specific data.

5. Difference between REST API and GraphQL?

REST uses multiple endpoints, while GraphQL uses a single endpoint with flexible queries.

6. What is Prometheus?

Prometheus is an open-source monitoring and alerting tool.

7. What is Grafana?

Grafana is used to visualize monitoring metrics and dashboards.

8. What is Docker?

Docker is a containerization platform used to package applications and dependencies.

9. What is log analysis?

Analyzing logs to identify system issues, errors, and performance bottlenecks.

10. What is SaaS?

Software as a Service provides applications over the internet without local installation.

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How to Apply

Interested and eligible candidates should apply online as soon as possible.

AlphaSense is looking for technically strong professionals passionate about cloud operations, Kubernetes, SaaS support, AI-powered systems, and customer-focused troubleshooting.

Apply using below link.