Senior Cloud Engineer

Cognizant; Bengaluru Urban; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Cognizant in Bengaluru is seeking an experienced Cloud Observability Engineer to own Dynatrace SaaS administration, Azure-based observability, and end-to-end monitoring. The role emphasizes automation, AI-driven diagnostics, and scalable cloud governance.

You will implement OpenTelemetry instrumentation, automate deployment and remediation, integrate monitoring with ServiceNow, and craft dashboards and reports to drive data‑driven decisions across multi-environment setups.

Qualifications

• Hands-on experience with Azure cloud services including compute, storage, networking and automation.
• Proficiency in Dynatrace SaaS with Ruxit modules and dashboards.
• Experience with OpenTelemetry standards and instrumentation is desired.
• Experience with ServiceNow integration for incident workflows.
• Strong Unix administration, scripting and automation capabilities.
• Ability to build reliable dashboards and performance reports.

Responsibilities

• Configure and optimize Dynatrace SaaS including end-to-end monitoring for applications and infra.
• Set up detailed performance dashboards, alerts and reports for proactive reliability.
• Integrate monitoring and incident workflows with ServiceNow for streamlined records.
• Collaborate with product owners and operations to translate requirements into automation solutions.
• Perform root cause analysis using AI Ops and observability data to implement fixes.
• Establish cloud governance practices including tagging, access controls and cost optimization.

Skills

Dynatrace SaaS

SaaS architecture

RBAC

OneAgent deployment

Monitoring modes

Davis AI configuration

Azure observability

Logs ingestion

Metrics querying

Dashboards notebooks

Tagging management

ServiceNow integration

Tools

Python

Bash

Terraform

Job description

Job Summary

• Must Have skills
• Dynatrace SaaS tenant administration
• SaaS architecture and data flow understanding
• Role based access control (RBAC)
• OneAgent deployment and lifecycle management
• Monitoring mode management (Infrastructure vs Full Stack)
• Davis AI / problem detection configuration
• Cloud observability (Azure focused)
• Logs ingestion and analysis
• Metrics and DQL (Grail) querying
• Dashboards and notebooks creation
• Tagging and entity management
• ServiceNow integ

Responsibilities

• Nice to Have Skills
• Experience with OpenTelemetry standards and instrumentation.
• Familiarity with SRE practices (SLIs SLOs error budgets).
• Experience with automation/scripting (Python Bash Terraform).
• Exposure to cost optimization strategies for SaaS observability platforms.
• Build automation scripts and workflows that orchestrate infrastructure provisioning configuration deployment and decommissioning across multiple environments.
• Configure and optimize Dynatrace SaaS including Ruxit capabilities to provide end to end application and infrastructure monitoring tailored to stakeholder needs.
• Set up detailed performance dashboards alerts and reports in Dynatrace to proactively identify service degradation and support data driven decision making.
• Integrate monitoring and incident workflows with Service Now to streamline incident problem and change records with accurate technical context.
• Collaborate with product owners architects and operations teams to translate requirements into practical cloud and automation solutions that improve reliability.
• Perform root cause analysis on recurring incidents using AI Ops and observability data and implement permanent fixes that reduce operational risk.
• Establish and refine cloud governance practices including tagging standards access controls cost optimization and compliance monitoring for Azure resources.
• Drive continuous improvement of deployment pipelines by embedding automation quality checks and monitoring hooks to enable safer and faster releases.
• Document cloud architectures operational runbooks and troubleshooting guides to ensure knowledge sharing and consistent incident response across teams.
• Mentor peers on cloud engineering automation monitoring and incident response practices to uplift overall team capability and resilience.

Qualifications

• Possess extensive hands on experience in Azure cloud services including compute storage networking identity and platform native automation capabilities.
• Demonstrate strong Unix administration expertise covering system performance tuning shell scripting security hardening and troubleshooting.
• Apply AI Ops concepts using observability data to detect anomalies correlate events and recommend automated remediation actions in production environments.
• Show deep proficiency in Dynatrace SaaS including Ruxit modules with skills in creating dashboards alert rules management zones and custom metrics.
• Exhibit practical experience in building and maintaining automation using scripting languages infrastructure as code tools and workflow orchestrators.
• Utilize Service Now for incident problem and change processes with the ability to design and improve automation between monitoring tools and ticketing.
• Communicate effectively with cross functional teams and stakeholders providing clear updates on incidents changes and technical improvements.
• Adopt modern engineering practices including version control code review documentation testing and continuous integration for infrastructure and automation.
• Display familiarity with cloud security principles compliance standards and best practices relevant to operating workloads in enterprise Azure environments.
• Adapt quickly to evolving cloud technologies tools and processes while maintaining focus on reliability user experience and business value.