Cloud Engineer CV — page 1

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

Cloud Engineer CV — page 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

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