Senior DevOps Engineer (DataOps)

TalentHue - IT & Corporate Recruitment; Lahore; On-site; PKR 1,200,000 - 1,800,000; Full time

Job summary

TalentHue is seeking a skilled DevOps Engineer to oversee platform reliability and infrastructure operations. The role involves managing Kubernetes orchestration, Docker containers, and CI/CD pipelines, ensuring compliance with SLA standards for data processing.

The ideal candidate has over 6 years of experience in DevOps, strong skills in GitLab CI/CD, and a solid scripting background. This is an on-site role based in Lahore, Pakistan, offering opportunities for impactful contributions in a dynamic environment.

Qualifications

• 6+ years in DevOps/DataOps/Platform Engineering with strong Kubernetes experience.
• Proven track record in building and maintaining GitLab CI/CD pipelines.
• Solid scripting ability for automation in Python, Bash, or Go.

Responsibilities

• Manage and harden the Kubernetes environment for data pipeline workloads.
• Implement observability, logging, and monitoring across containerized data platforms.
• Lead incident response for platform reliability issues.

Skills

Kubernetes

Docker

GitLab CI/CD

Apache Airflow

Python

Bash

Go

Job description

An innovative software development firm that partners with businesses to design and build reliable, user-focused digital products. They are known for delivering high-quality solutions that solve real-world challenges.

Role Introduction

Owns platform reliability and infrastructure operations , Kubernetes orchestration, container management, and CI/CD pipelines , ensuring SLA compliance for all data pipelines running across the stack.

Features

• Onsite

Requirements

• Operate and harden the Kubernetes environment hosting data pipeline workloads.
• Manage Docker container builds, registries, and deployment patterns for data engineering and ML teams.
• Build and maintain GitLab CI/CD pipelines for automated testing, build, and deployment of data jobs. li>
• Monitor Airflow DAG execution across the platform, ensuring pipeline SLAs are met and breaches are triaged quickly.
• Implement observability, logging, monitoring, and alerting, across the containerized data platform.
• Manage infrastructure-as-code for provisioning and scaling cluster resources.
• Partner with Data Engineers and MLOps to standardize deployment patterns across data and ML workloads.
• Lead incident response and root-cause analysis for platform reliability issues.

Specifications

• 6+ years in DevOps/DataOps/Platform Engineering, with deep, demonstrable Kubernetes experience
• Strong hands‑on Docker and container orchestration experience in production environments.
• Proven track record building and maintaining GitLab CI/CD pipelines (GitOps experience a strong plus).
• Experience operating Apache Airflow at the infrastructure level , environment management, scaling, and SLA monitoring (distinct from DAG authoring).
• Solid scripting ability (Python, Bash, or Go) for automation and tooling.
• Linux systems fundamentals and comfort working across cloud and on‑prem infrastructure.

Expertise

Skills: Airflow DAG Operations , Docker , GitLab CI/CD , Kubernetes

About TalentHue

TalentHue provides scalable, reliable Tech Recruitment, Corporate Recruitment and Consulting (Strategy, Operations, Performance) services. Our Recruitment and HR consultants will work alongside your team to meet the unique needs of your business.