Delivery Manager | Observability Architect| Mumbai | Technology Strategy & Transformation (116273)
Your Work Profile
Observability Architect
Experience: 12-15+ years in IT Infrastructure, Application Monitoring, Observability, AIOps, and Enterprise Architecture
Engagement Type: Implementation and Operate
Domain Experience: Banking, BFSI, Financial Services, Enterprise IT Operations, Mission-Critical Environments
Industry Exposure: Large Enterprises, Regulated Industries, Public Sector Banks, Multi-Vendor Ecosystems
The ideal candidate should have strong hands-on experience with enterprise observability and APM platforms such as Dynatrace, Elastic Observability, Datadog, New Relic and Splunk. The candidate should possess expertise in application performance monitoring, infrastructure monitoring, log analytics, distributed tracing, metrics, telemetry collection, event correlation and AIOps capabilities.
The candidate will work closely with application, infrastructure, cloud, SRE, DevOps and IT operations teams to improve service reliability, enhance application performance, accelerate root cause analysis and drive enterprise observability maturity.
Required Skills
Observability Strategy & Architecture: Lead the design, adoption and continuous improvement of enterprise observability capabilities. Define observability architecture, technology standards, frameworks and implementation roadmaps across multi-vendor platforms.
Observability Platform Implementation: Design, deploy, configure and optimize enterprise observability platforms such as Dynatrace, Elastic, Datadog, New Relic and Splunk for comprehensive application and infrastructure visibility.
Full-Stack Observability: Design monitoring solutions covering applications, databases, middleware, infrastructure, APIs, cloud platforms, Kubernetes, containers and microservices environments. Establish end-to-end transaction visibility and service dependency mapping.
APM & Distributed Tracing: Implement Application Performance Monitoring (APM), Real User Monitoring (RUM), Synthetic Monitoring, distributed tracing, transaction monitoring and service topology mapping to identify performance bottlenecks and service dependencies.
Log Management & Analytics: Design and implement centralized log management, ingestion, parsing, indexing, correlation, search and analytics capabilities using Elastic Stack (ELK), Splunk and other relevant log analytics platforms.
Metrics & Telemetry Engineering: Establish telemetry collection and processing pipelines for metrics, logs and traces using OpenTelemetry, Prometheus, Grafana, Fluent Bit, Fluentd and other relevant technologies.
AIOps & Root Cause Analysis: Leverage AI-driven observability capabilities such as Dynatrace Davis AI, Elastic AI features, Datadog Watchdog, New Relic AI and Splunk ITSI to enable anomaly detection, event correlation, alert noise reduction, risk identification and faster root cause analysis.
SLO & Service Reliability Management: Define and implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), service health dashboards, error budgets and proactive alerting mechanisms aligned with business and application reliability objectives.
Cloud-Native Observability: Design and implement monitoring solutions across AWS, Microsoft Azure, Google Cloud, Kubernetes, OpenShift, Docker and microservices-based architectures.
Key Skills
Enterprise Observability & APM Platforms
Dynatrace – OneAgent, ActiveGate, Davis AI, RUM, Synthetic Monitoring, Smartscape and distributed tracing.
Elastic Observability – Elasticsearch, Logstash, Kibana (ELK), Beats, Elastic APM and integrations.
Datadog – APM, Infrastructure Monitoring, Log Management, RUM, Synthetic Monitoring and Watchdog.
New Relic – APM, Infrastructure Monitoring, Distributed Tracing, Logs, NRQL and AI capabilities.
Splunk – Splunk Enterprise, Splunk ITSI, Splunk Observability Cloud, ITSI Glass Tables and event analytics.
Note : Need At least 2 OEM working experience above requirement
Open-Source Monitoring & Telemetry Tools
OpenTelemetry (OTel), OpenTelemetry Collector and instrumentation.
Prometheus, Grafana, Alertmanager and exporters.
Fluent Bit, Fluentd, Telegraf and Jaeger.
Zipkin, Loki and Tempo.
Kubernetes and container monitoring tools.
Cloud & Infrastructure Technologies
AWS, Microsoft Azure and Google Cloud Platform.
Kubernetes, OpenShift and Docker.
Linux and Windows server monitoring.
Database and middleware monitoring.
Network and infrastructure performance monitoring.
AIOps & Automation
AI-driven anomaly detection, event correlation and predictive analytics.
Automated incident detection, alert enrichment and noise reduction.
Python, Shell scripting and REST API integrations.
ITSM integrations, preferably ServiceNow.
DevOps, CI/CD and Infrastructure as Code concepts.
Service Reliability & IT Operations
SLI, SLO, SLA and error budget management.
Site Reliability Engineering (SRE) principles.
ITIL-based incident, problem and change management.
Root Cause Analysis (RCA), MTTR and availability management.
Observability governance and maturity assessment.
Professional Services Architect (AI SIEM & Hyperautomation)SentinelOne · Poland