Observability & Monitoring Engineer
2 weeks ago
We're looking for a
hands-on Observability & Monitoring Engineer
who will own the
visibility, health, and reliability
of Kela's production environments. This role is all about
designing, building, and maintaining Kela's monitoring and alerting stack
, enabling the organization to detect, respond to, and prevent issues before they impact our customers.
Observability & Monitoring Stack Ownership:
- Design, implement, and maintain our
observability stack
, covering
metrics, logs, and traces
across all production sites and components (physical and software layers). - Work with tools like
Prometheus, Grafana, ELK
, or similar. - Ensure
clear, accessible dashboards
for both internal and customer-facing stakeholders, showing site/component health, uptime, and anomalies. - Define and continuously tune
alert thresholds
,
escalation paths
, and
severity levels
. - Reduce alert noise and focus on actionable signals.
- Ensure all critical services have
effective monitoring coverage
(availability, performance, resource usage, errors, etc.). - Partner with R&D to
define, request, and validate telemetry data
: logs, custom metrics, traces, etc. - Advocate for
observability best practices
in product and feature development. - Influence logging and monitoring standards across engineering teams.
- Automate routine monitoring tasks, health checks, and anomaly detection scripts.
- Drive
self-healing initiatives
: Build tools and automation for faster incident mitigation. - Create and maintain
runbooks for alert response
, ensuring that Support and Delivery teams have clear operational guidance.
Contribute to
incident post-mortems
and help drive continuous improvement based on lessons learned.
Participate in
incident response and on-call rotations
(where applicable).
Support
real-time production incident bridges
with data-driven analysis from the observability stack.
Must Have:
- 5+ years experience
in
Observability
,
SRE
,
Production Engineering
, or
DevOps
roles focused on
monitoring and system reliability
. - Deep hands-on experience with
monitoring tools
like
Datadog
,
Prometheus
,
Grafana
,
ELK
, or equivalents. - Strong experience with
Linux systems
,
networking basics
(HTTP, DNS, firewalls, proxies). - Experience with
Kubernetes
,
microservices architecture
, or
multi-cluster environments
. - Background working in
hybrid environments
(on-prem + cloud). - Prior experience implementing
self-healing automation
in production environments. - Proven track record in
alerting design
,
threshold tuning
, and
incident detection
at scale. - Experience with
log pipelines
,
metrics collection frameworks
, and
distributed tracing tools
. - Solid
scripting and automation skills
(Python, Bash, etc.). - Experience participating in
incident response processes
,
on-call rotations
, and
root cause analysis. - Excellent communication skills - able to explain system status and health metrics to both engineers and non-technical stakeholders.
-
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