Amit Baloria

SRE (Site Reliability Engineer)

Bengaluru, Karnataka, India9 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in AWS and DevOps practices.
Proficient in automating cloud infrastructure.
Strong background in continuous integration and deployment.

Stackforce AI infers this person is a SaaS DevOps Engineer with strong cloud automation skills.

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Skills

Core Skills

AwsDevops

Other Skills

EC2WAFCloudFormationS3Route53RDSDynamoDBRedshiftChefPythonBashTeamCityJenkinsNagiosNewrelic

About

I am working in Atlassian in Customer Support Technology Team. Working on AWS, Bitbucket Pipelines, Java, Python, Bash, and Tools for monitoring and Continuous Integration and Deployment.

Experience

9 yrs 9 mos

Total Experience

2 yrs 5 mos

Average Tenure

3 yrs 7 mos

Current Experience

Atlassian

Site Reliability Engineer

Oct 2022 – Present · 3 yrs 7 mos · Bengaluru, Karnataka, India

Oracle

Senior Site Reliability Engineer(DevOps)

Dec 2021 – Oct 2022 · 10 mos

Chubb

Software Engineer

May 2020 – Dec 2021 · 1 yr 7 mos · Hyderabad, Telangana, India

Kony, inc.

3 roles

Senior Software Development Engineer

Jun 2019 – May 2020 · 11 mos

Software Development Engineer

Sep 2017 – May 2020 · 2 yrs 8 mos

As part of Cloud Team, I work on a couple of things which focuses on automating Kony cloud Infrastructure for Kony Products. As a DevOps engineer, I work on below things -
AWS Services like EC2, WAF, Cloud formation Templates, S3, Route53, Storage Services like RDS and Dynamo DB, Redshift etc.
Automation Tools like Chef which demands to code in ruby and python
Continous Deployment tools like TeamCity and Jenkins. This includes python and bash scripts to ease the product deployments with one button of click.
Monitoring tools like Nagios, Newrelic, Datadog. Extensive work on Nagios monitoring and nrpe checks
Hands-on Linux Systems, Apache, Tomcat, and other servers.
Agile practises and tracking using Jira

AWSEC2WAFCloudFormationS3Route53+16

Intern

Jul 2016 – Aug 2017 · 1 yr 1 mo

I have been working as a DevOps engineer at Kony Labs. I work with multiple frameworks which focus on building automation that ensures high availability of Kony Products on the cloud to its customers. This infrastructure automation uses Python, Chef, and a lot of A.W.S. services. I have primarily worked by consuming services like S3, EC2, RDS, Route53, Cloudwatch, IAM, SQS, SNS and VPC.
Given that DevOps as a role also involves working with servers most of the time I also have a lot of experience handling Linux and Windows servers on the cloud.
I have also worked with monitoring tools like Nagios, Datadog and Newrelic and their integrations into physical infrastructure and extensively worked on real time log monitoring using Loggly.
As a team we always emphasize on agile development and continuous integration and this provided me the opportunity to work with tools like TeamCity and Jenkins

AWSPythonChefNagiosDatadogNewrelic+3