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Applore Technologies
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DevOps Engineer

DevOps Engineer

Applore Technologies

2 years

0 Lacs

new delhi delhi india

Posted:11 hours ago| Platform:

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Skills Required

devops aws engineering reports technology saas ai containerization api automate provisioning terraform kubernetes microservices jenkins github gitlab stack security compliance auto scaling tuning analysis docker code linux networking scripting python leadership

Work Mode

On-site

Job Type

Full Time

Job Description

DevOps Engineer (Onsite)

Location:

Experience:

Department:

Reports to:

About Applore Technologies

Applore Labs, SquadXP, and Caller.Digital

onsite DevOps Engineer

Key Responsibilities

Cloud & Infrastructure Management
Architect, deploy, and manage infrastructure on AWS
.
Work with
EC2, ECS/EKS, Lambda, S3, RDS, API Gateway, CloudWatch, IAM
.
Automate provisioning and infrastructure using
Terraform / CloudFormation
.
Containerization & Deployment
Build, deploy, and optimize applications in Docker
and
Kubernetes (EKS)
.
Implement
serverless solutions
using AWS Lambda.
Manage microservices-based deployments.
CI/CD & Monitoring
Maintain and improve CI/CD pipelines
(Jenkins, GitHub Actions, GitLab CI).
Monitor and troubleshoot systems using
Prometheus, Grafana, ELK Stack, CloudWatch
.
Ensure smooth and reliable production deployments.
Security & Reliability
Apply cloud security best practices
and compliance standards.
Enable
auto-scaling, disaster recovery, and cost optimization
strategies.
Handle performance tuning and root-cause analysis for outages.

Requirements

2+ years of hands-on DevOps experience
.
Strong expertise in
AWS (EC2, ECS/EKS, Lambda, S3, API Gateway, etc.)
.
Solid skills in
Docker & Kubernetes orchestration
.
Familiar with
Infrastructure as Code (Terraform, CloudFormation)
.
Strong Linux, networking, and security fundamentals.
Knowledge of scripting (Bash, Python, Shell).
Experience with
serverless and event-driven architectures
is a plus.

Why Join Us?

100%
onsite role
– work closely with leadership and engineering teams.
Chance to build and scale
next-gen SaaS & AI platforms
.
Ownership of core infrastructure powering multiple products.
Competitive salary + performance incentives.

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