DevOps, GitLab-based Platform, CICD 30*3 Pipelines

September 8, 2026

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Job Description:

Design, implement, and maintain end-to-end CI/CD pipelines for software applications and machine learning models
Automate build, test, deployment, and rollback processes
Build, optimize, and scale cloud-native infrastructure using Kubernetes and Docker
Manage and provision specialized computing resources, including GPU clusters, for high-performance AI workloads and model inferencing
Own high-availability design in production environments
Implement disaster recovery strategies, self-healing mechanisms, capacity planning, and performance tuning
Champion Infrastructure as Code practices using Terraform, Ansible, and Helm
Architect and refine monitoring, logging, and alerting systems using Prometheus, Grafana, and ELK/EFK stack
Build the Internal Developer Platform and golden paths enabling product, model, and data-science teams to deploy without opening a ticket
Collaborate with R&D, Data Science, Security, and Business teams to streamline workflows and eliminate bottlenecks
Establish and enforce system stability and security standards
Manage release workflows, implement Zero Trust access controls, oversee secrets management, and ensure SOC2/ISO27001 compliance
Lead troubleshooting, root-cause analysis, and preventative remediation during complex anomalies and major incidents
Convert incident learnings into automation to prevent recurrence

Requirements:

Bachelor's degree or above in Computer Science, Engineering, or a related technical field
5+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles
Expert-level knowledge of Linux operating systems and core networking principles, including TCP/IP, DNS, HTTP, Load Balancing, and VPCs
Deep mastery of Docker and Kubernetes orchestration, including cluster management and production-level best practices
Proficiency designing and managing infrastructure on major public or hybrid cloud platforms, including AWS, GCP, Azure, or Alibaba Cloud
Experience with multi-cloud and hybrid-cloud strategies
Strong coding and scripting capabilities in at least one major language such as Go, Python, or Shell
Systematic and practical understanding of CI/CD methodologies, Infrastructure as Code (IaC), observability paradigms, and SRE principles
Exceptional problem-solving abilities and sharp technical judgment
Excellent cross-team communication skills
Preferred: Familiarity with MLOps practices, model serving/inferencing frameworks such as vLLM, TGI, or Triton Inference Server
Preferred: Experience managing GPU clusters for AI/ML workloads
Preferred: Experience with large-scale distributed systems or high-concurrency environments
Preferred: Hands-on experience designing and building Internal Developer Platforms (IDP)
Preferred: Familiarity with Zero Trust architecture, automated security testing (DevSecOps), SOC2, or ISO27001
Preferred: Prior experience as a Technical Lead, mentoring junior engineers, or managing DevOps teams
Preferred: Experience wiring an LLM-driven code/config helper into a pipeline or strong opinions on how to
Must comply with applicable work authorization and equal employment requirements in the relevant country, state, and local jurisdictions

Benefits:

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