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DevOps Engineer

Wissen Infotech ‱ 🌐 In Person

In Person Posted 4 days, 3 hours ago

Job Description

We’re hiring AI Platform Engineers @ Wissen!

We’re building something different — not SaaS, not client projects, but AI products that power Wissen’s AI services globally.

This team is designing the platform layer that helps our delivery teams ship scalable, production-ready AI solutions faster — across industries, clouds, and continents 🌍

⚙

AI Platform Engineer (DevOps focus)

Think DevOps + platform thinking. You’ve shipped scalable apps, automated the pipelines, and know how to make infra hum.

You’ll:

- Design a multi-cloud deployment strategy for Wissen’s AI accelerators.

- Lead a 20% AWS cost optimization initiative.

- Explore what it takes to deploy our AI stack on-prem for enterprise clients.

(AI experience not required, but deploying apps with AI layers is a plus!)

JOB DESCRIPTION:

-

Notice Period-Immediate/15 days

Package- Max Up to 18Lpa

Year of Experience- 4-6 Years

Qualification:- NIT/IIT/IIIT/Any premium Colleges

Key Responsibilities:

Collaborate with development and product teams to gather infrastructure and deployment requirements.

Design, implement, and maintain CI/CD pipelines for applications and services using GitHub Actions \& Jenkins(must-have).

Monitor system performance and ensure reliability, scalability, and security of production environments.

Provide production support and troubleshoot infrastructure issues.

Automate infrastructure provisioning using AWS CloudFormation.

Implement security best practices including SAST, DAST, and vulnerability management.

Develop and maintain automation scripts using Shell (Preferred) or Python (Advantage) (must-have).

Required Technical Skills:

Experience with Git and Maven for version control and build management.

Strong hands-on experience with Jenkins and GitHub Actions (must-have).

Proven ability to set up CI/CD pipelines and implement Blue/Green deployments (must-have).

Proficiency in Shell scripting and Python Scripting..

Familiarity with security tools and practices including SAST, DAST, and vulnerability management

(Advantage).

Expertise in AWS CloudFormation (must-have).

Working knowledge of AWS and Azure cloud platforms.

Experience with AWS services including Service Catalog Products, EC2, Lambda, S3, RDS, VPC, Subnets, Route53, Security Groups, ALB, IAM, SQS, OpenSearch, IAM Policies and Routing, Networking etc.

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