Operations Engineer, BizTech

New

Based in India; Work remotely, subject to confirmation of employment eligibility and approved work location in India.Full-TimeMiddle

Salary not disclosed

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Job Details

Experience: At least three years of experience working with observability, monitoring, and metrics platforms; at least three years of experience with data querying, data pipelines, or related technologies.
Required Skills: AWSPythonSQLElasticSearchAirflowGrafanaPrometheusCI/CDDatadog

At least three years of experience with observability, monitoring, and metrics platforms such as Prometheus, Grafana, Datadog, or Elasticsearch.
At least three years of experience with data querying, data pipelines, or related technologies, including SQL, Airflow, Trino, or SQS.
Proficiency in one or more general-purpose programming or scripting languages, such as Python, Go, JavaScript, TypeScript, or Bash.
Hands-on experience with cloud environments such as AWS, Google Cloud Platform, or Oracle Cloud Infrastructure.
Practical knowledge of IaC, CI/CD pipelines, and automation tools such as Jenkins, Argo CD, or GitHub Actions.
Understanding of monitoring strategies, incident management, service reliability, alerting systems, and root-cause analysis.
Working knowledge of networking fundamentals and hardware, including technologies or solutions associated with Cisco and Palo Alto.
Experience working in ticket-based support and workflow management environments using tools such as Jira and Confluence.
Familiarity with LLMs and coding assistants, and the ability to apply them to troubleshooting, documentation, and workflow automation.
Strong analytical and problem-solving skills, including the ability to investigate technical issues and interpret monitoring data.
Organizational skills and attention to detail when managing incidents, documentation, and data quality.
Ability to participate in on-call rotations, work independently, and manage competing priorities.

Manage incoming technical support tickets, prioritize requests by urgency and impact, and drive issues toward resolution.
Identify recurring incidents and repetitive support tasks and develop AI-assisted automation to reduce ticket volumes.
Participate in a rotating on-call schedule, including weekends, and respond to incidents, document findings, and coordinate recovery.
Build and maintain monitoring dashboards using Grafana, Tableau, and Superset.
Use LLM solutions and coding assistants for ticket triage, diagnostics, root-cause analysis, scripting, and documentation.
Design automation workflows, agent-based processes, and self-healing monitoring capabilities.
Develop and optimize operational scripts and automation tools using programming and scripting languages.
Monitor observability metrics, alerts, data pipelines, and infrastructure performance to investigate anomalies and disruptions.
Support infrastructure automation and deployment workflows using IaC, CI/CD, and cloud tooling.
Maintain runbooks, troubleshooting procedures, knowledge bases, and incident documentation.

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