DevOps & Automation Engineer – PagerDuty Integration | Gurgaon | On-site |7-10 years | Immediate Joiner (Noida)

DevOps & Automation Engineer – PagerDuty Integration | Gurgaon | On-site |7-10 years | Immediate Joiner (Noida)

16 Oct
|
Codians.ai
|
Noida

16 Oct

Codians.ai

Noida

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The selected candidates will design and implement reliable alerting and incident-response workflows, integrate PagerDuty with monitoring and observability platforms, reduce alert noise, and accelerate incident resolution across cloud environments.

Key Responsibilities

- Design, implement, and maintain PagerDuty integrations with monitoring tools such as Amazon CloudWatch, Datadog, Prometheus, Grafana, Splunk, New Relic, and Dynatrace.
- Automate PagerDuty onboarding, configuration management, and incident-response workflows using Terraform, PagerDuty APIs, and Rundeck.
- Configure PagerDuty services, escalation policies, on-call schedules, event orchestration, routing rules, and alert grouping.
- Build event-driven automation and auto-remediation workflows across AWS, Azure, and GCP.
- Integrate PagerDuty with ServiceNow, Jira, Slack, Microsoft Teams, and other ITSM and collaboration platforms.
- Develop and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.
- Create reusable automation scripts, operational runbooks, technical documentation, and standard operating procedures.
- Collaborate with SRE, application, platform, and security teams to establish standardized alerting and on-call practices.
- Implement observability improvements, SLO-based alerting, and AIOps capabilities to improve operational reliability.
- Required Skills & Qualifications
- Solid hands-on experience with PagerDuty services, integrations, escalation policies, Event Orchestration, Events API v2, and REST APIs.
- Solid experience in DevOps, SRE, cloud engineering, or cloud automation.




- Proficiency in Infrastructure as Code, preferably Terraform.
- Strong scripting and automation skills in Python, Bash, and JavaScript.
- Experience with REST APIs, webhooks, and event-payload handling.
- Knowledge of AWS, Azure, and/or GCP cloud infrastructure.
- Experience with monitoring, observability, alerting, and SLO-based practices.
- Working knowledge of CI/CD pipelines and Git-based workflows.
- Strong understanding of incident management, on-call practices, SRE principles, and AIOps concepts.
- Excellent communication, troubleshooting, ownership, and problem-solving skills.

Position-Specific Requirements
- Lead / Principal DevOps Engineer – 10+ Years
- 10+ years of experience in DevOps, SRE, or cloud engineering, including 3+ years of deep PagerDuty ownership at enterprise scale.
- Experience designing incident-management and alerting architecture across multiple teams and environments.
- Ability to define alerting standards, on-call policies, and event-orchestration frameworks.
- Experience with multi-account AWS monitoring, alert aggregation, automation strategy, and auto-remediation.
- Knowledge of AIOps, SLO/SLI adoption, reliability reporting, and post-incident reviews.
- Good to Have
- PagerDuty certifications and AWS certifications.
- Experience with PagerDuty Automation Actions, Runbook Automation, or AIOps.
- Familiarity with Kubernetes/EKS monitoring, OpenTelemetry, and containerized workloads.
- Experience with ServiceNow CMDB and incident synchronization.
- Exposure to multi-cloud environments and enterprise consulting projects.

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? Apply now by sharing your updated resume via LinkedIn DM or mai us at [email protected]

Please mention the position you are applying for: Senior DevOps Engineer or Lead / Principal DevOps Engineer.

- #Hiring #Codians #DevOpsJobs #DevOpsEngineer #PagerDuty #CloudAutomation #SRE #AWS #Terraform #AIOps #InfrastructureAsCode #GurgaonJobs #GurugramJobs #OnsiteJobs

📌 DevOps & Automation Engineer – PagerDuty Integration | Gurgaon | On-site |7-10 years | Immediate Joiner (Noida)
🏢 Codians.ai
📍 Noida

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