Overview:
We are seeking an
experienced ITOps Consultant – Monitoring & Observability to design,
implement, and operate enterprise-grade monitoring solutions. This role focuses
on ensuring high availability, performance, and reliability of IT
infrastructure and applications through modern observability practices.
The ideal candidate
will have 2–5 years of hands-on experience in monitoring and
observability platforms, with OpsRamp as a primary or preferred tool.
Candidates with strong experience in Datadog or Dynatrace and proven
capability to integrate monitoring tools with ITSM platforms are also
encouraged to apply.
This is a
rotational shift role,
supporting 24x7 operations.
Primary
Responsibilities:
· Deploy, configure, and operate OpsRamp as the core monitoring platform, including onboarding devices, applications,
and services.
· For non-OpsRamp profiles, quickly adapt and
transition experience from tools like LGTM stack /
Datadog / OpenText monitoring tools/NewRelic or any SAAS
monitoring/observability tool into the OpsRamp ecosystem.
· Integrate monitoring platforms with IT
Service Management (ITSM) tools (e.g., ServiceNow, BMC Remedy) for
incident, event, and alert management.
· Develop and maintain dashboards, alerts,
SLIs/SLOs, and reports to ensure proactive issue detection and faster
incident resolution.
· Tune alert thresholds and correlation rules to reduce
alert noise and improve signal quality.
· Support hybrid and multi-cloud environments,
including on-prem, cloud, and containerized platforms.
· Collaborate with Infrastructure, Application,
and DevOps teams to integrate monitoring into CI/CD pipelines and
operational workflows.
· Automate monitoring, alerting, remediation, and
reporting using scripts, APIs, and orchestration tools.
· Leverage AIOps capabilities for anomaly
detection, event correlation, and predictive insights.
· Participate in rotational shifts and
support operational monitoring, incident triage, and root cause analysis (RCA).
· Document monitoring architectures, runbooks,
configurations, and standard operating procedures (SOPs).
Required
Skills:
Mandatory / Core
Skills
- 2–5 years of experience in IT Operations, Monitoring, or
Observability roles.
- Hands-on experience with OpsRamp for monitoring deployment, configuration,
and operations
- OR strong experience with LGTM stack / Datadog / OpenText monitoring tools/NewRelic or
any SAAS monitoring/observability tool, with readiness to work on OpsRamp.
- Proven experience integrating monitoring
tools with ITSM platforms.
- Strong understanding of metrics, logs,
traces, and observability best practices.
Technical Skills
- Experience with open-source monitoring
tools:
- Prometheus, Grafana
- ELK Stack (Elasticsearch, Logstash,
Kibana), Fluentd
- Tracing tools such as Jaeger or Zipkin
- Working knowledge of REST APIs and
API-based integrations.
- Scripting/automation experience using Python,
Ansible, or similar tools.
- Familiarity with AIOps concepts,
anomaly detection, and intelligent alerting.
- Understanding of ITIL processes and
service management frameworks.
- Exposure to security monitoring and
compliance requirements is a plus.
Soft Skills
- Strong analytical and troubleshooting
skills for complex production issues.
- Ability to work effectively in 24x7
rotational shifts.
- Good communication skills and ability to
work with cross-functional teams and business stakeholders.
- Ownership mindset with a focus on
reliability and operational excellence.
Nice to Have
- OpsRamp certification or hands-on
production deployment experience
- Experience monitoring Kubernetes /
OpenShift environments
Skills Required
- 2 - 5 years of experience in IT Operations, Monitoring, or Observability roles
- Hands-on experience with OpsRamp
- Proven experience integrating monitoring tools with IT Service Management platforms
- Strong understanding of metrics, logs, traces, and observability best practices
What We Do
AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.








