Key Responsibilities

- Design, implement, and maintain PagerDuty integrations with monitoring and observability tools (e.g., Amazon CloudWatch, Datadog, Prometheus/Alertmanager, Grafana, New Relic, Splunk, Dynatrace, Nagios/Zabbix).
- Automate PagerDuty onboarding, configuration management, and incident response workflows using Terraform, PagerDuty APIs, and Rundeck-based operational automation.
- Configure PagerDuty services, escalation policies, schedules, event orchestration, routing rules, and alert grouping and suppression to reduce alert fatigue[Good to have].
- Build event-driven automation on AWS/Azure/GCP (EventBridge, SNS, Lambda, Systems Manager, Step Functions) for auto-remediation and incident enrichment.
- Integrate PagerDuty with ITSM and collaboration tools such as ServiceNow, Jira, Slack, monitoring, cloud, identity and data platforms and Microsoft Teams for ticketing and incident communication.
- Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline) to deliver monitoring and alerting configuration as code.
- Create runbooks, integration documentation, and standard operating procedures.
- Collaborate with the client's SRE, application, platform, and security teams to onboard services onto standardised alerting and on-call practices.

Required Skills (Both Levels)

- Hands-on experience with PagerDuty (services, integrations, escalation policies, event orchestration, Events API v2, REST API).
- Strong Cloud infrastructure and DevOps experience.
- Proficiency in Infrastructure as Code, preferably Terraform.
- Requirement for adaptability across platforms and tools, not restricted to a single stack
- Strong automation and scripting skills in Python, Bash, JavaScript(for webhooks, event transformers, and payload handling), including REST API and webhook integrations.
- Should have strong understanding of AIOPs concepts




- Experience with monitoring and observability tools and with building meaningful alerts and SLO-based alerting.
- Working knowledge of CI/CD tooling and Git-based workflows.
- Solid understanding of incident management, on-call practices, and SRE principles.

Level-Specific Expectations

- Independently implements and supports integrations across multiple monitoring tools.
- Writes reusable Terraform modules and automation scripts.
- Troubleshoots integration and alert-routing issues end to end.
- Contributes to runbooks, standards, and post-incident reviews.
- DevOps, SRE, or cloud engineering, with 3+ years of deep PagerDuty ownership at enterprise scale.
- Owns the architecture and strategy for incident management and alerting across multiple teams, accounts, and environments.
- Defines alerting standards, on-call policies, and event-orchestration frameworks.
- Designs multi-account AWS monitoring and alert-aggregation patterns.
- Leads the automation roadmap, including auto-remediation and AIOps or event-intelligence capabilities.
- Drives operational-maturity initiatives such as SLO/SLI adoption, blameless post-mortems, and reliability reporting.

Preferred / Nice to Have

- PagerDuty certifications (e.g., PagerDuty Certified Professional) and AWS certifications (DevOps Engineer Professional, Solutions Architect).
- Experience with PagerDuty Automation Actions, Runbook Automation, or AIOps.
- Familiarity with Kubernetes/EKS monitoring, OpenTelemetry, and containerised workloads.
- Experience with ITSM integrations (ServiceNow CMDB and incident sync).
- Exposure to multi-cloud environments (Azure, GCP).
- Prior experience working with global consulting or enterprise clients.

Soft Skills

- Transparent communication with technical and non-technical stakeholders.
- Calm, structured approach to production incidents.
- Ownership, proactivity, and a continuous-improvement mindset.
- Comfort working in a hybrid, client-facing model.

📌 Senior Devops Engineer (Gurugram)
🏢 LanceSoft
📍 Gurugram