hero_image_url=https://images.examples.com/wp-content/uploads/2026/07/Cloud-Engineer-CV.jpg edl_preview_height_px_main=848 edl_preview_height_px= 4240 count_images = 2 less_than_600 = 7 greater_than_600=5 count_of_examples=59
Arjun
Mehta
Cloud
Engineer
arjun
.
mehta
@
email
.
com
+1 (415) 555-0198
San
Francisco
,
CA
linkedin
.
com
/
in
/
arjunmehta
github
.
com
/
arjunmehta
PROFESSIONAL
SUMMARY
Results
-
driven
Cloud
Engineer
with
8+
years
of
experience
designing
,
deploying
,
and
managing
scalable
infrastructure
on
AWS
and
GCP
.
Expertise
in
Kubernetes
,
Terraform
,
CI
/
CD
pipelines
,
and
observability
.
Passionate
about
automation
,
cost
optimization
,
and
building
resilient
systems
that
serve
millions
of
users
.
EXPERIENCE
Senior
Cloud
Engineer
·
Rivian
Automotive
Jan
2022 –
Present
·
Palo
Alto
,
CA
Cloud
Engineer
·
Stripe
Jun
2019 –
Dec
2021 ·
San
Francisco
,
CA
SKILLS
Cloud
Platforms
AWS
(
ECS
,
EKS
,
Lambda
,
VPC
,
IAM
,
S
3),
GCP
(
GKE
,
Cloud
Run
,
Cloud
Functions
,
Pub
/
Sub
)
Infrastructure
as
Code
Terraform
,
Pulumi
,
AWS
CDK
,
CloudFormation
,
Packer
Containers
&
Orchestration
Kubernetes
,
Docker
,
Helm
,
Istio
,
Consul
,
ArgoCD
CI
/
CD
&
Automation
GitHub
Actions
,
GitLab
CI
,
Jenkins
,
Spinnaker
,
Flux
Observability
Prometheus
,
Grafana
,
Datadog
,
OpenTelemetry
,
CloudWatch
,
ELK
Stack
Languages
Go
,
Python
,
TypeScript
,
Bash
,
HCL
CERT IFICAT IONS
AWS
Solutions
Architect
–
Professional
(2023)
Certified
Kubernetes
Administrator
(
CKA
)
(2022)
HashiCorp
Certified
:
Terraform
Associate
(2021)
Google
Professional
Cloud
Architect
(2020) ·
recertified
2023
LANGUAGES
English
(
native
)
Hindi
(
native
)
Spanish
(
professional
working
)
Architected
multi
-
region
Kubernetes
clusters
(
EKS
)
supporting
200+
microservices
,
achieving
99.99%
uptime
and
reducing
failover
time
from
12
min
to
under
90
seconds
.
—
Designed
and
implemented
a
GitOps
workflow
using
ArgoCD
and
Flux
,
cutting
deployment
lead
time
from
2
hours
to
8
minutes
across
40+
engineering
teams
.
—
Led
migration
of
150+
workloads
from
on
-
prem
VMware
to
AWS
,
reducing
infrastructure
costs
by
34% (
$
1.8
M
annual
savings
)
while
improving
performance
.
—
Built
custom
Terraform
modules
for
VPC
,
IAM
,
and
EKS
baselines
,
adopted
across
the
entire
platform
org
and
reducing
provisioning
errors
by
72%.
—
Established
SLO
-
based
alerting
with
Prometheus
and
Grafana
,
reducing
mean
time
to
detection
(
MTTD
)
from
45
min
to
6
min
.
—
Managed
GCP
infrastructure
for
payment
processing
pipelines
handling
$
4
B
+
in
monthly
transaction
volume
across
8
regions
.
—
Automated
instance
lifecycle
management
with
Cloud
Functions
and
Compute
Engine
APIs
,
reducing
idle
compute
spend
by
22% (
$
600
k
/
yr
).
—
Implemented
centralized
logging
and
tracing
using
Cloud
Logging
and
OpenTelemetry
,
enabling
15-
minute
root
-
cause
analysis
for
production
incidents
.
—
Mentored
5
junior
engineers
through
structured
onboarding
and
code
review
practices
,
accelerating
ramp
-
up
time
by
—
1 / 2
DevOps
Engineer
·
Twilio
Mar
2017 –
May
2019 ·
San
Francisco
,
CA
EDUCATION
M
.
S
.
in
Computer
Science
University
of
California
,
Berkeley
GPA
3.9 ·
Focus
:
Distributed
Systems
&
Cloud
Computing
· 2015 –
2017
B
.
S
.
in
Computer
Engineering
University
of
Texas
at
Austin
GPA
3.7 ·
Minor
in
Mathematics
· 2011 – 2015
40%.
Designed
and
maintained
CI
/
CD
pipelines
using
Jenkins
,
Spinnaker
,
and
GitHub
Actions
for
60+
internal
services
.
—
Containerized
legacy
Java
and
Python
applications
using
Docker
and
orchestrated
deployments
on
ECS
and
EKS
.
—
Reduced
average
deployment
failure
rate
from
8%
to
1.2%
through
canary
deployments
and
automated
rollback
logic
.
—
Authored
internal
runbooks
and
incident
response
playbooks
used
by
the
entire
SRE
rotation
.
—
2 / 2
