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Cloud Support Engineer

1 month, 1 week ago
India
Full-time
Junior
Technical Support Engineer
DevOps and Infrastructure
AWS Docker Elasticsearch Grafana GraphQL Java JavaScript Kubectl Kubernetes LLM MongoDB MySQL Prometheus Python REST API
Apply Now
Alphasense

Alphasense

Alphasense is a global leader in providing high-quality gas sensors and air quality monitors to industrial OEMs. With over 25 years of experience, the company offers a wide range of innovative gas sensor technologies for various applications, including...

Industrial Conglomerates
51-250
Founded 1996
View All Jobs 151

Description

  • Act as the second line of defense for technical queries and drive assigned customer tickets to resolution.
  • Investigate, diagnose, and resolve customer issues across SaaS and private cloud environments.
  • Use logs, traces, reproducible test cases, CLI tools, and scripting to troubleshoot technical problems.
  • Escalate out-of-scope issues to the appropriate engineering domain with clear, high-quality artifacts.
  • Collaborate closely with senior engineers, frontline support, account teams, and R&D across regions and time zones.
  • Contribute to runbooks, KEDB articles, FAQs, and other support documentation.
  • Represent the voice of the customer in internal discussions and product or support initiatives.
  • Build working knowledge of the AlphaSense platform and identify gaps to close through ongoing learning.
  • Use AI tools for technical investigation, log analysis, customer communication, and documentation, and share effective workflows with the team.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • 2-4 years of experience in technical support, IT operations, cloud operations, or a related field.
  • Working proficiency with CLI tools such as kubectl and awscli.
  • Scripting experience in Python, JavaScript, or a similar language.
  • 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 tools such as Prometheus, Grafana, or FireHydrant.
  • Demonstrated AI fluency in day-to-day work and the ability to describe how AI has changed work practices.
  • Experience managing customer support cases end-to-end from inquiry and triage through bug reporting and resolution.
  • Experience troubleshooting networking issues is preferred.
  • Experience troubleshooting in a major cloud platform, preferably AWS, and in Kubernetes or Docker environments is preferred.
  • Extensive experience with GraphQL and other web APIs is preferred.
  • Hands-on experience with Infrastructure as Code tools such as Crossplane is preferred.
  • Experience with search technologies and data stores such as Vespa, ElasticSearch, MongoDB, or MySQL is preferred.
  • Experience or familiarity with Java is preferred.
  • Experience with standard software release lifecycles is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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