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Codians.ai
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Noida · On-site · 10-13 Yrs · Oct 15
Accounting & Tax · 1 to 50 Employees · Jaipur, India
3 open roles0 posted in 7d3 in 30d
Work-life balance 4.0Compensation & benefits 4.0Culture & values 5.0
Hiring: Engineering
What employees say
+ friendly,scope for innovation and innovators
− still a small scale company
More reviews on the company profile.
Job description
Overview
𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴 𝗮𝘁 𝗖𝗼𝗱𝗶𝗮𝗻𝘀!
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
- Strong 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.
- 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.
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Job application FAQ
Last updated 16 October 2026
- How do I apply for DevOps & Automation Engineer – PagerDuty Integration | Gurgaon | On-site |7-10 years | Immediate Joiner at Codians.ai?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Codians.ai may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this DevOps & Automation Engineer – PagerDuty Integration | Gurgaon | On-site |7-10 years | Immediate Joiner role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is DevOps & Automation Engineer – PagerDuty Integration | Gurgaon | On-site |7-10 years | Immediate Joiner remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this DevOps & Automation Engineer – PagerDuty Integration | Gurgaon | On-site |7-10 years | Immediate Joiner role at Codians.ai?
- This is a mid-level DevOps & Automation Engineer – PagerDuty Integration | Gurgaon | On-site |7-10 years | Immediate Joiner role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.