CloudOps Lead at CodeNinja

Lahore, Punjab, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Cloud, DevOps, Terraform, CloudFormation, EC2, ECS/EKS, Lambda, IAM, CI/CD Pipelines, Docker, Kubernetes, CloudWatch, Python, Bash, SageMaker, Bedrock

Industry

Software Development

Description

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 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 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)

Responsibilities

The role involves designing, deploying, and operating scalable AWS platforms, implementing DevOps best practices, and enabling AI/ML workloads on AWS while mentoring the existing team. Key tasks include managing secure AWS infrastructure, building CI/CD pipelines, and supporting cloud migration projects.