Intellectt INC
About the Role
We are seeking a skilled
Support Engineer with strong migration experience
to join our team. You will lead the migration of the
observability stack
while ensuring high availability, performance, and reliability across infrastructure. The ideal candidate has hands-on expertise in
Kubernetes, Python, and observability platforms (Grafana, Prometheus, etc.) , backed by a strong DevOps/SRE background. Key Responsibilities
5+ years of experience in
DevOps, SRE, or migration-focused roles
Provide operational support for
telemetry and observability stacks
in Kubernetes
Develop and maintain
automation/monitoring tools
using Python
Configure, monitor, and troubleshoot
Grafana, Prometheus, Loki , and related tools
Collaborate with cross-functional teams to
optimize system performance
Deploy, configure, and troubleshoot
Kubernetes clusters
Work in a
Linux-based environment
with Git-based workflows
Support
CI/CD pipelines
and containerization tools like Docker
Familiarity with
logging and tracing systems
Preferred Qualifications Experience with
service meshes
(e.g., Cilium)
Knowledge of
Infrastructure-as-Code
tools: Pulumi, Terraform + Helm, Spinnaker
Exposure to
cloud platforms
(AWS, Google Cloud Platform, Azure)
Strong
troubleshooting and performance tuning
skills
#J-18808-Ljbffr
We are seeking a skilled
Support Engineer with strong migration experience
to join our team. You will lead the migration of the
observability stack
while ensuring high availability, performance, and reliability across infrastructure. The ideal candidate has hands-on expertise in
Kubernetes, Python, and observability platforms (Grafana, Prometheus, etc.) , backed by a strong DevOps/SRE background. Key Responsibilities
5+ years of experience in
DevOps, SRE, or migration-focused roles
Provide operational support for
telemetry and observability stacks
in Kubernetes
Develop and maintain
automation/monitoring tools
using Python
Configure, monitor, and troubleshoot
Grafana, Prometheus, Loki , and related tools
Collaborate with cross-functional teams to
optimize system performance
Deploy, configure, and troubleshoot
Kubernetes clusters
Work in a
Linux-based environment
with Git-based workflows
Support
CI/CD pipelines
and containerization tools like Docker
Familiarity with
logging and tracing systems
Preferred Qualifications Experience with
service meshes
(e.g., Cilium)
Knowledge of
Infrastructure-as-Code
tools: Pulumi, Terraform + Helm, Spinnaker
Exposure to
cloud platforms
(AWS, Google Cloud Platform, Azure)
Strong
troubleshooting and performance tuning
skills
#J-18808-Ljbffr