Support Engineer - Kubernetes

Technology, Data & Digital · Software & Web Development · Software Engineering · DevOps

In short

Experienced L1/L2 Support Engineer skilled in Kubernetes, production support, incident management, and AIOps. Responsibilities include monitoring, resolving incidents, troubleshooting, and collaborating with development teams in a 24x7 environment. Requires strong Linux, SQL, and API knowledge, with preferred exposure to cloud and container technologies.

Responsibilities

  • Provide L1/L2 production support for the Moogsoft AIOps/event management platform.
  • Monitor, triage, and resolve incidents across event ingestion, processing, and correlation layers.
  • Perform UI validation, log analysis, and data ingestion verification for issue identification.
  • Troubleshoot configuration, integration, database, and performance-related issues.
  • Classify issues (configuration, defect, or enhancement) and escalate appropriately.
  • Collaborate with Development, SRE, and DevOps teams for faster resolution and service improvement.
  • Handle customer tickets, provide timely updates, and ensure SLA adherence.
  • Participate in incident management, RCA preparation, and continuous improvement initiatives.
  • Support release validation and deployment activities.
  • Work in rotational shifts and be flexible to operate outside IST timezone (24x7 support model).

Requirements

  • Strong Linux fundamentals and log analysis skills.
  • Basic SQL knowledge (MySQL/MariaDB or similar databases).
  • Familiarity with REST APIs, SNMP, webhooks, and system integrations.
  • Knowledge of messaging systems (Kafka/RabbitMQ) and event-driven architecture.
  • Exposure to monitoring and observability tools (Elasticsearch/OpenSearch, Grafana, Prometheus).
  • Basic scripting knowledge (Bash, JSON handling).
  • Experience in incident management, ticket triage, and escalation handling.
  • Strong troubleshooting and root cause analysis (RCA) capability.
  • Ability to differentiate between configuration issues, product defects, and known issues.
  • Experience supporting releases and deployment activities.

Desired Qualifications

  • Understanding of Moogsoft or similar event management/AIOps platforms (event ingestion, correlation, alerts, dashboards).
  • Exposure to AWS services (EC2, S3, RDS).
  • Knowledge of Docker and containerized environments.
  • Basic understanding of Kubernetes concepts.
  • Strong analytical and problem-solving skills.
  • Good communication and stakeholder management.
  • Customer-focused approach with structured thinking.
  • Ability to work in a fast-paced, 24x7 support environment.

Benefits

  • Supercharge your potential.
  • Find your career.
  • Find your spark.
  • A place that knows that helping its customers stay on top starts by putting its people first.
#Support Engineer#Kubernetes#Production Support#Incident Management#AIOps#Linux#SQL#AWS#Docker#DevOps
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Company

HCLTech

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Vijayawada, India

Applicants

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