| Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. | ||
| Years | Required/Preferred | Experience |
| 8 | Required | experience in systems engineering, DevOps, or site reliability engineering roles |
| 8 | Required | Strong experience with Linux/Unix systems and system internals |
| 8 | Required | Proficiency in one or more programming/scripting languages (Python, Go, Java, Bash) |
| 8 | Required | Experience designing and operating highly available, distributed systems |
| 8 | Required | Strong knowledge of cloud platforms (AWS, or GCP) and cloud-native services |
| 8 | Required | Experience with containerization and orchestration (Docker, Kubernetes) |
| 8 | Required | Strong understanding of monitoring, alerting, and logging concepts |
| 8 | Required | Experience defining and managing SLIs, SLOs, and error budgets |
| 8 | Required | Familiarity with incident management, root cause analysis (RCA), and postmortems |
| 8 | Required | Experience integrating security and compliance into operational workflows |
| 4 | Preferred | Familiarity with observability tools (Prometheus, Grafana, Application Insights, Datadog, Splunk) |
| 4 | Preferred | Experience operating 24x7 production environments with on-call rotations |
| 4 | Preferred | Experience with chaos engineering and resiliency testing |
| 4 | Preferred | Experience with feature flags, canary deployments, and progressive delivery |
| 4 | Preferred | Strong documentation skills for runbooks, dashboards, and operational standards |
It’s all about harnessing the real power of data. InterSources Inc was founded in 2007 providing intelligent data solutions to clients across industries and geographies.
Over the years, we have built products on Business Intelligence & Big Data platform simplifying and transforming the way business intelligence and real-time data analytics empower Corporations and end-users using Softwares like Tableau, Business Objects, MicroStrategy, etc.
In the process, we have enabled companies to use data analytics to help better understand, predict and influence consumer behavior, identify new market opportunities as they emerge, provide to users the data they need, alert the user when and why key business metrics have changed and enable them to make smart decisions.