Junior Backend & Cloud Engineer (Node.js | Python | AWS)

Cognilium AI


Date: 1 week ago
City: Lahore
Contract type: Full time

Are you passionate about backend development and cloud technologies? Want to build real-world systems with real users? At Cognilium.ai, we’re on a mission to empower businesses with intelligent, scalable AI systems—and we’re hiring a Junior Backend & Cloud Engineer to help us scale!


We’re looking for a hands-on engineer who can write production-grade backend code and operate that code in AWS. You’ll design REST/GraphQL APIs, model data in MongoDB & PostgreSQL, containerize services, and keep them running on EC2, S3, and managed databases—all on Linux.


Note: If you only build UIs or only script cloud automation, this isn’t the right fit. It’s for builders, thinkers, and doers who want to own both code and cloud.


Responsibilities

  • Design & build APIs in Node.js (Express/Nest) and Python (FastAPI/Flask); write clean, testable, well-documented code
  • Model & query data in MongoDB and PostgreSQL; optimize indexes, craft migrations
  • Deploy & operate your services on AWS (EC2, S3, RDS/DocumentDB, IAM, VPC basics)
  • Automate with Docker & simple CI/CD pipelines (GitHub Actions, CodeBuild, etc.)
  • Linux housekeeping, SSH into servers, tweak configs, monitor logs


Qualifications

  • 6–12 months professional experience (internships & freelance count) building back-end services
  • Proficient in Node.js and/or Python—ideally both
  • Built and documented REST or GraphQL APIs end-to-end
  • Comfortable with MongoDB and PostgreSQL (schemas, CRUD, joins/aggregations)
  • Hands-on with AWS basics: spin up EC2, Elastic Beanstalk ,store objects in S3, connect to RDS/DocumentDB, manage IAM keys
  • Confident on the Linux command line: bash, systemd, log inspection
  • Git workflow knowledge (PRs, code reviews, branching)
  • Clear, concise communicator—can explain trade-offs and ask good questions



Nice-to-Have

  • Docker containerization & Compose/ECS
  • Basic networking (HTTP, DNS, TLS)
  • Testing frameworks (Jest, PyTest)
  • Monitoring/metrics (CloudWatch, Grafana, ELK)


How to Apply:

If you meet the qualifications and are enthusiastic about joining the dynamic team at Cognilium.ai, please submit your updated CV highlighting your relevant experience to [email protected]

Alternatively, you can fill out our application form at this link “https://forms.gle/8JHKW71yueK3mUFb6” 



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