Role - Technical Support Engineer - DevOps
Experience - 4+ Years
Location - Gurgaon
About the position
We are looking for a Technical Support Engineer to join our highly experienced global team. The Tech support role embodies the critical intersection of technical expertise and a focus on customer satisfaction. This role is tasked with helping Coralogix customers with giving answers to technical questions, solution architecture, and ensuring successful adoption of the Coralogix Platform.
Responsibilities :
- Serve as Client's single point of contact for any tech-related matters
- Provide technical support to customers or internal teams using DevOps tools and practices.
- Respond to support requests, troubleshoot issues, and resolve problems in a timely manner.
- Investigate and diagnose technical issues related to DevOps tools, infrastructure, and deployments
- Collaborate with customers or internal teams to understand and resolve complex problems.
- Establish relationships and engage with technical counterparts to drive product adoption and expansion
- Train and coach customers to a successful onboarding process and ongoing usage
- Advocate internally for customer needs – be the technical voice of the customer within Coralogix
- Contribute to our knowledge base by creating documentation, video tutorials, and predefined answers to common issues
- Prioritize and manage several open issues at one time
- Properly escalate unresolved issues to appropriate internal teams
Requirements :
- Background knowledge of DevOps / Cloud / Observability
- 3+ years of proven experience in customer focus position as a Devops Engineer/ Devops Support Roles
- BA/BSc degree in Computer Science or equivalent experience
- Excellent customer/ Client-facing skills
- Excellent communication skills in English
- Motivation to learn new skills and technologies
- Great interpersonal and communication skills
- High availability for fast response to customers
- Proven work experience with ELK (Elastic-search/Logstash/Kibana)
- Hands-on experience in Regular Expressions
- Background in AWS, Docker, Kubernetes, Networking
- Scripting skills in one of the following: Python, Perl, Ruby
- Experience in SAAS B2B software companies
About Coralogix :
Coralogix is a SaaS platform that analyzes log, metric, and security data in real-time and uses machine learning to streamline delivery and maintenance processes for software providers, having its headquarters in California, United States . Coralogix is a streaming platform for modern engineering teams. Coralogix’s Streama© technology produces real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the challenge of data growth in large-scale systems. Ingest data from any source for a single, centralized platform to manage, monitor, and alert your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Machine learning algorithms continuously observe data patterns and flows between system components and trigger dynamic alerts so you know when a pattern deviates from the norm without static thresholds or the need for pre-configurations.
Company Website : https://coralogix.com/
Skills Required
- Background knowledge of DevOps, Cloud, and Observability
- 3+ years experience in customer-focused DevOps Engineer or DevOps Support role
- BA/BSc degree in Computer Science or equivalent experience
- Excellent customer/client-facing skills
- Excellent English communication skills
- Motivation to learn new skills and technologies
- High availability for fast response to customers
- Proven work experience with ELK (ElasticSearch/Logstash/Kibana)
- Hands-on experience with Regular Expressions
- Background in AWS, Docker, Kubernetes, and Networking
- Scripting skills in Python, Perl, or Ruby
- Experience in SaaS B2B software companies
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.
