Kratik Jain

DevOps Engineer

Bengaluru, Karnataka, India6 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in AWS and Kubernetes infrastructure management.
Proven track record in automating cloud environments.
Strong foundation in DevOps practices and CI/CD pipelines.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with strong DevOps and automation expertise.

Contact

Skills

Core Skills

Amazon Web Services (aws)KubernetesDocker

Other Skills

TerraformAWSCloudWatchGitHub ActionsSlack APIHelmAnsibleSecurityCloud InfrastructureLinuxLokiVictoria MetricsO11yCharmCLI WishGo (Programming Language)

About

Recipe of success = Hard { Smart-Work } blogs.kratik.dev resume.kratik.dev ssh.kratik.dev who.kratik.dev

Experience

6 yrs 4 mos

Total Experience

3 yrs 2 mos

Average Tenure

3 yrs 11 mos

Current Experience

Primetrace

Infrastructure Engineer

Jun 2022 – Present · 3 yrs 11 mos · Bengaluru · On-site

Configured infrastructure with 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦, using module composition and centralized remote state management on 𝐀𝐖𝐒 𝐒𝟑.
Enabled on-demand 𝐩𝐫𝐞𝐯𝐢𝐞𝐰 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 with 𝐀𝐫𝐠𝐨𝐂𝐃 + 𝐏𝐑 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐨𝐫, including Secrets and Observability.
Created comprehensive 𝐂𝐥𝐨𝐮𝐝𝐖𝐚𝐭𝐜𝐡 𝐒𝐥𝐚𝐜𝐤 𝐀𝐥𝐞𝐫𝐭𝐬 using Terraform to monitor critical AWS resources with 𝐌𝐚𝐫𝐛𝐨𝐭.
Built 𝐜𝐨𝐬𝐭 𝐫𝐞𝐩𝐨𝐫𝐭𝐬 𝐚𝐧𝐝 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 for visibility into cost-driving services and resources.
Automated 𝐄𝐊𝐒 𝐜𝐥𝐮𝐬𝐭𝐞𝐫 𝐬𝐞𝐭𝐮𝐩 (Prod/Stage) with Terraform/Helmfile, integrating plugins, node groups, logging, and monitoring via reusable modules.
Migrated 𝐤𝐎𝐩𝐬 𝐜𝐥𝐮𝐬𝐭𝐞𝐫𝐬 (dev, stage, prod) into 𝐄𝐊𝐒 𝐜𝐥𝐮𝐬𝐭𝐞𝐫𝐬 with separate cluster domains and secure 𝐎𝐩𝐞𝐧𝐕𝐏𝐍 (𝐏𝐫𝐢𝐭𝐮𝐧𝐥).
Achieved seamless 𝐊𝟖𝐬 𝐍𝐨𝐝𝐞 𝐀𝐮𝐭𝐨𝐬𝐜𝐚𝐥𝐢𝐧𝐠 with 𝐊𝐚𝐫𝐩𝐞𝐧𝐭𝐞𝐫.
Implemented precise, actionable alerts to monitor key infrastructure metrics.
Deployed 𝐏𝐫𝐢𝐭𝐮𝐧𝐥 𝐕𝐏𝐍 for secure connectivity, enabling access to Kubernetes FQDNs, Cluster IPs, and AWS VPCs.
Self-hosted 𝐆𝐢𝐭𝐇𝐮𝐛 𝐀𝐜𝐭𝐢𝐨𝐧𝐬 𝐑𝐮𝐧𝐧𝐞𝐫𝐬, dynamically provisioning resources for queued CI jobs.
Set up 𝐇𝐚𝐬𝐡𝐢𝐂𝐨𝐫𝐩 𝐕𝐚𝐮𝐥𝐭 and Vault Secrets Operator for efficient Kubernetes secret management.
Implemented 𝐀𝐫𝐠𝐨 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 with auto-retry and alerting to improve workflow reliability.

TerraformAWSKubernetesCloudWatchGitHub ActionsAmazon Web Services (AWS)

Cuelogic technologies | an lti company

3 roles

Software Engineer - DevOps

Promoted

Apr 2021 – Jun 2022 · 1 yr 2 mos

Amazon Web Services (AWS)Kubernetes

Junior Software(DevOps) Engineer

Jan 2020 – Apr 2021 · 1 yr 3 mos

The role includes day-to-day DevOps related tasks, Where often I try to do a tedious manual task in a more automated, effective, and controlled way. In Addition to that, I can be seen designing Fault-tolerant, HA Infrastructure solutions using Production grade Best Practices with a Cost-Effective Cloud Services Stack.

Intern

Jul 2019 – Jan 2020 · 6 mos

Learned and Worked On :
Git, Computer Networks, Linux, Docker, Kubernetes, Docker Swarm, AWS
In the short span of a few months, gained the confidence and got deployed to a live project which was a huge logs processing and in-house business intelligence SOC tool.
Where I supported the team in the following ways :
Adding a new component in the cluster using Helm Charts
Created Scripts to automate various tedious tasks like cleaning of pods and nodes in a cluster
Created a cron job that will check the overall health of every component using CLI commands and APIs and then it will send the info over slack every hour so all key people can stay updated.
Infrastructure-as-Code: To debug some issues, I spawned the whole production infra using Vagrant (to launch VMs) & Ansible (automation: to run a series of steps conditionally), so this can be reused as many times as required on local machines.
Helped various devs to speed up debugging by giving them proper logs and metrics

AnsibleDockerKubernetes