CloudOps Lead

About the Company

CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.

Role Overview

CodeNinja is building a strong AWS Cloud & AI practice, and we are looking for an AWS Cloud & AI Practice Lead who will design, deploy, and operate scalable AWS platforms, implement DevOps best practices, enable AI/ML workloads on AWS and mentor existing team.

This role is primarily Cloud & AI-focused, with exposure to AWS services.

Key Responsibilities

• Design and manage secure, scalable AWS cloud infrastructure

• Implement DevOps and CI/CD pipelines using Terraform/CloudFormation

• Build and operate cloud-native services using EC2, ECS/EKS, Lambda

• Manage AWS networking, IAM, security, monitoring, and cost optimization

• Support cloud migration and modernization projects

• Enable AI/ML and GenAI workloads (SageMaker, Bedrock) from an infrastructure perspective

• presales activities, PoCs, and technical
• Contribute to AWS Partner accreditation and scorecard requirements
• Create reusable cloud architectures, templates, and documentation

Requirements:
Required Skills & Experience

• 4+ years of hands-on experience with AWS Cloud & DevOps
• Strong experience with:

-EC2, ECS/EKS, Lambda

-VPC, IAM, Route53, Load Balancers

-RDS, DynamoDB, OpenSearch, S3

-Infrastructure as Code: Terraform / CloudFormation

-CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline)

-Docker & Kubernetes experience

-Monitoring & logging using CloudWatch

-Scripting in Python or Bash

AI / ML (Nice-to-Have)

-Working knowledge of AWS AI/ML services, including:

-Amazon SageMaker (training jobs, endpoints, model deployment)

-Amazon Bedrock (foundation models, GenAI application enablement)

-Experience enabling AI/ML workloads from an infrastructure and DevOps perspective, including:

-Secure networking, IAM roles, and access control for ML services

-CI/CD pipelines for model build and deployment

-Monitoring and logging for ML inference workloads

-Familiarity with Retrieval-Augmented Generation (RAG) architectures:

-Vector stores such as OpenSearch, FAISS, Pinecone, or Chroma

-Integration of LLMs with enterprise data sources

-Experience deploying API-driven AI services (e.g., FastAPI, Lambda-based inference)

-Understanding of MLOps concepts:

-Model versioning, deployment automation, rollback strategies

-ML pipelines using SageMaker Pipelines or MLflow (basic familiarity)

-Exposure to LLMs and GenAI ecosystems such as OpenAI, Anthropic, or open-source models (LLAMA), especially in AWS environments

Preferred Certifications

-AWS Certified Solutions Architect – Associate

-AWS Certified DevOps Engineer – Professional

-AWS ML Engineer Associate

Or related certifications

Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, & performance. Female and minorities are strongly encouraged and preferred to apply for the role.

Why Join CodeNinja?

-Work on AWS-first, cloud-native projects

-Play a key role in AWS Partner growth

-Exposure to AI-enabled cloud platforms

-Opportunity to shape internal cloud & DevOps accelerators

Benefits:
• Provident Fund
• Gym Membership
• Leaves as per the company policy
• Company-paid trips
• Easy Loan Facility for Employees
• Yearly increment
• Maternity Benefits (Leaves & WFH)
• Health Insurance (Maternity covered) – includes spouse and parents (till age 80)