Operations Engineer, BizTech in भारत

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Operations Engineer, BizTech based in India. This is an exciting opportunity for a technically skilled operations professional to strengthen enterprise technology reliability through intelligent automation, AI-powered diagnostics, and proactive monitoring. You will help manage operational workflows, resolve technical incidents, and transform repetitive support tasks into efficient, automated processes. The role combines observability, incident management, cloud infrastructure, data pipelines, and software development in a globally collaborative environment. You will leverage large language models and AI-assisted tools to accelerate troubleshooting, improve root-cause analysis, and develop self-healing operational capabilities. By building reliable dashboards and enhancing service visibility, you will help teams make informed decisions and maintain high-quality technology services. This position is ideal for an analytical, automation-focused engineer who enjoys solving complex problems and continuously improving operational performance. Accountabilities - Manage incoming technical support tickets, prioritize requests according to urgency and impact, and drive issues toward timely resolution. - Identify recurring incidents and repetitive support tasks, developing AI-assisted automation solutions to reduce ticket volumes and improve operational efficiency. - Participate in a rotating on-call schedule, including weekends, responding to incidents, troubleshooting issues, documenting findings, and coordinating recovery efforts. - Build, maintain, and enhance monitoring dashboards using tools such as Grafana, Tableau, and Superset to track service availability, operational health, and data quality.

- Apply AI-assisted tools, including large language model (LLM) solutions and coding assistants, to accelerate ticket triage, diagnostics, root-cause analysis, scripting, and technical documentation. - Design and implement intelligent automation workflows, agent-based processes, and self-healing monitoring capabilities to identify and address issues before they escalate. - Develop, maintain, and optimize operational scripts and automation tools using programming and scripting languages such as Python, Go, JavaScript, TypeScript, and Bash. - Monitor observability metrics, alerts, data pipelines, and infrastructure performance to identify anomalies, investigate service disruptions, and improve system reliability. - Use data-driven insights to improve incident response times, reduce mean time to resolution (MTTR), and enhance the quality and accuracy of operational reporting. - Collaborate with global technology and business stakeholders to coordinate incident resolution, communicate technical findings, and maintain consistent service delivery. - Support infrastructure automation and deployment workflows using Infrastructure as Code (IaC), continuous integration and continuous delivery (CI/CD), and cloud-based tooling. - Contribute to the development and maintenance of operational runbooks, troubleshooting procedures, knowledge bases, and incident documentation. - Work with enterprise SaaS platforms and identity management systems to support integrations, access management, and reliable corporate technology operations. - Continuously evaluate operational processes, identify improvement opportunities, and introduce scalable solutions that strengthen resilience, efficiency, and service quality. Requirements: - At least three years of experience working 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.