C

Ciroos

AI-driven SRE teammate for enterprise operations

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Three to six years of hands-on experience in Site Reliability Engineering, DevOps, Production Engineering, Platform Operations, or Technical Support, including exposure to customer escalations, deployments, implementations, and production operations.
  • Ability to troubleshoot complex production issues, understand distributed-system behavior, and write code or scripts in Python, Go, or Java to automate tasks, reproduce issues, and build operational tooling.
  • Experience with cloud-native technologies, including Kubernetes, AWS, Azure, or Google Cloud Platform, CI/CD pipelines, and observability platforms such as Dynatrace, Datadog, or Prometheus.
  • Hands-on expertise in integrations and automation, including REST APIs, webhooks, event-driven workflows, alert correlation, normalization rules, regular expressions, IT service management platforms such as ServiceNow, and reliable error handling.
  • Ability to write actionable bug reports, maintain runbooks, communicate across teams, and ensure operational continuity.
  • Ability to support a global customer base and manage production incidents, deployments, migrations, and critical operational events from the Bengaluru or Gurugram office.

Responsibilities

  • Own customer escalations end-to-end by managing the support queue, triaging production issues, driving investigations, and ensuring timely resolution or engineering handoff with clear diagnostics.
  • Troubleshoot complex production issues by analyzing logs, traces, and telemetry to identify root causes, validate fixes, and proactively monitor platform health to detect issues before they affect customers.
  • Maintain operational documentation, ticket updates, and runbooks, and collaborate across Engineering, Product, and Customer Success to ensure continuity and rapid resolution.
  • Deploy and configure the Ciroos AI SRE Teammate in customer environments, owning implementation from setup through production readiness while following deployment standards and runbooks.
  • Design and optimize alert normalization and correlation policies, including conditions and operators (IN, CONTAINS, REGEX), field extraction from sources such as email, Jenkins, and CI/CD, and customer-specific playbooks.
  • Build and maintain integrations across customer systems, including ServiceNow bi-directional synchronization and field mapping, Microsoft Teams or Slack routing, observability platforms, and knowledge sources such as GitHub and Confluence.
  • Support migrations, production go-lives, and platform optimization by replicating correlation rules, validating deployments, troubleshooting investigation and enrichment failures, improving root-cause analysis quality, and sharing recurring field learnings with Engineering and Product.
  • Triage, investigate, and resolve customer tickets and escalations promptly; own assigned customer issues from initial investigation through resolution; provide timely communication; deliver accurate deployments, configurations, integrations, and implementations; drive migrations and production go-lives; and document recurring issues and product feedback.

Desired Qualifications

  • Experience migrating a customer from an incumbent AIOps or alerting platform such as BigPanda, Moogsoft, PagerDuty, Elastic, or Splunk.
  • Experience building lightweight internal tools with Python, Node.js, or Bash to accelerate validation, migration, and monitoring.
  • Familiarity with large language model-powered or agentic AI workflows and their operational quirks.
  • Prior customer-facing support or Forward Deployed Engineer or solutions-engineering experience.
  • Familiarity with AI-assisted engineering tools.

About the Company

Ciroos

AI-driven SRE teammate for enterprise operations

Ciroos provides an AI-driven SRE teammate for enterprises that autonomously monitors, detects anomalies, correlates signals, and resolves incidents using a multi-agent AI system. It integrates with existing observability and infrastructure through enterprise connectors, continuously analyzes data, and can take automated actions or suggest fixes under a subscription/service contract. It stands out by combining deep expertise in observability, distributed systems, cloud, cybersecurity, and networking with an autonomous AI approach and enterprise integrations to reduce toil and incident dwell time. Its goal is to make IT and security operations faster, more reliable, and less labor-intensive, helping enterprises avoid business disruptions.

Company size
51-200
Company stage
Seed
Total funding
$21M
Headquarters
Pleasanton, CA
Founded
2025

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