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Ai Platform Engineer Observability

Nayatel Verified
Private 1 Vacancies Both
Posted: 27 Oct 2026 | Last date: 26 Nov 2026
10 views
Last date: 26 Nov 2026
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Job Overview

Organization
Nayatel
Category
IT / Software
Job Type
Internship
Salary / Pay Scale
As per Govt Pay Scale
Total Vacancies
1 Posts
Gender
Both
Location
Islamabad, Islamabad (ICT)
Work Mode
Onsite
Last Date
26 Nov 2026
Date Posted
27 Oct 2026

Job Description

Job Overview:

You’ll work on our self-hosted LLM observability platform (built on Langfuse) — it’s where all our AI services send their traces, so we can see how every document and model call flows through the system, what it costs, and why things break. It’s a TypeScript/Node codebase running on Kubernetes (AKS). You’ll help build and operate the platform and the instrumentation around it — a great role for someone early-career who’s genuinely curious about how systems behave in production.

Job Responsibilities:

  • Instrumenting our services with traces, metrics, and structured logs, and making that data useful in dashboards and alerts.
  • Helping run and maintain the platform (web + worker services, and the queues and datastores behind them).
  • Triaging issues by following a request end-to-end through the traces.

Requirements:

  • 1–2 years of backend / platform / full-stack engineering or strong internship/project experience.
  • Solid programming in TypeScript/JavaScript (Node.js) — or strong fundamentals in another language with genuine willingness to ramp on TypeScript quickly.
  • Hands-on experience with at least one cloud provider (Azure, AWS, or GCP) and the basics of
  • compute and networking — with a willingness to go deeper fast.
  • Comfortable with Docker/containers (or eager to learn) and curious about Kubernetes.
  • Genuine interest in observability — you like understanding how requests flow and why things fail, and you’re comfortable reading logs, metrics, and traces.
  • Basic working knowledge of LLMs — what tokens, context windows, and quotas mean, and why tracing and cost-tracking matter for AI apps.
  • Good debugging instincts; comfortable with Git, REST/HTTP, and JSON.
  • Fluency with AI-assisted dev tools (Claude Code, Cursor, or similar), and a fast learner who likes to go deep.

Nice To Have:

  • Kubernetes/Helm, or any container-orchestration exposure.
  • OpenTelemetry, Langfuse, or distributed tracing experience.
  • Next.js / React, tRPC, Prisma, or BullMQ.
  • PostgreSQL, ClickHouse, or Redis.
  • Azure specifically (AKS, ACR, Key Vault, Front Door), or IaC (Terraform/Bicep).
  • CI/CD with GitHub Actions.

How to Apply

Interested candidates can submit their CV directly using the quick apply option. Candidates can also review openings on the official Nayatel website.

Direct Email Submission
Send your CV to: careers@nayatel.com
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Nayatel

Ai Platform Engineer Observability

Nayatel Verified
Private Internship 1 Vacancies 29 days left
Portal
Salary / Scale As per Govt Pay Scale
Education As per Ad
Location Islamabad, Islamabad (ICT)
Deadline 26 Nov 2026

Job Description and Requirements

Job Overview:

You’ll work on our self-hosted LLM observability platform (built on Langfuse) — it’s where all our AI services send their traces, so we can see how every document and model call flows through the system, what it costs, and why things break. It’s a TypeScript/Node codebase running on Kubernetes (AKS). You’ll help build and operate the platform and the instrumentation around it — a great role for someone early-career who’s genuinely curious about how systems behave in production.

Job Responsibilities:

  • Instrumenting our services with traces, metrics, and structured logs, and making that data useful in dashboards and alerts.
  • Helping run and maintain the platform (web + worker services, and the queues and datastores behind them).
  • Triaging issues by following a request end-to-end through the traces.

Requirements:

  • 1–2 years of backend / platform / full-stack engineering or strong internship/project experience.
  • Solid programming in TypeScript/JavaScript (Node.js) — or strong fundamentals in another language with genuine willingness to ramp on TypeScript quickly.
  • Hands-on experience with at least one cloud provider (Azure, AWS, or GCP) and the basics of
  • compute and networking — with a willingness to go deeper fast.
  • Comfortable with Docker/containers (or eager to learn) and curious about Kubernetes.
  • Genuine interest in observability — you like understanding how requests flow and why things fail, and you’re comfortable reading logs, metrics, and traces.
  • Basic working knowledge of LLMs — what tokens, context windows, and quotas mean, and why tracing and cost-tracking matter for AI apps.
  • Good debugging instincts; comfortable with Git, REST/HTTP, and JSON.
  • Fluency with AI-assisted dev tools (Claude Code, Cursor, or similar), and a fast learner who likes to go deep.

Nice To Have:

  • Kubernetes/Helm, or any container-orchestration exposure.
  • OpenTelemetry, Langfuse, or distributed tracing experience.
  • Next.js / React, tRPC, Prisma, or BullMQ.
  • PostgreSQL, ClickHouse, or Redis.
  • Azure specifically (AKS, ACR, Key Vault, Front Door), or IaC (Terraform/Bicep).
  • CI/CD with GitHub Actions.
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