DevOps Engineer (AIOps & Platform Engineering)

(Hybrid | Türkiye) Ankara- İstanbul

We are supporting one of our client companies in their search for a DevOps Engineer.

With the goal of strengthening large-scale digital transformation and IT operations through artificial intelligence, we are looking for a DevOps Engineer who will take active responsibility in DevOps, AIOps, and observability domains and contribute to production environments.

In this role, you will actively work on CI/CD pipelines, container and cloud infrastructures, monitoring & logging systems, automation, AIOps, and Agentic AI–driven operational improvements.

Roles & Responsibilities

• Take part in the design, development, integration, and production rollout of DevOps and AIOps projects
• Manage CI/CD infrastructures, including setup, maintenance, improvement, security, and performance optimization
• Operate applications and infrastructure in container-based architectures (especially Kubernetes)
• Monitor system, application, and platform performance; prepare capacity, performance, and operational reports
• Develop observability solutions using logs, metrics, and traces
• Apply AIOps approaches for anomaly detection, event correlation, root cause analysis (RCA), and forecasting
• Improve incident and alert management processes through automation and intelligent prioritization mechanisms
• Integrate Agentic AI / GenAI–based solutions into operational workflows to develop self-healing and autonomous action pipelines
• Contribute to infrastructure security, patch/version management, and high availability (HA) processes
• Work closely with operations teams, software teams, and business units
• Create and continuously improve standard operating procedures (runbooks, SOPs)

Required Qualifications

• Bachelor’s degree in Computer Engineering, Software Engineering, Electrical-Electronics Engineering, Electronics & Communications Engineering, Information Systems, or related fields
• Minimum 5 years of DevOps experience, preferably with AIOps / MLOps / Platform Engineering exposure
• Experience in Linux and Windows server administration
• Strong analytical thinking, problem-solving, and systematic working skills
• Team-oriented with strong communication skills
• Proficiency in English

Technical Skills

DevOps & Platform

• Container orchestration technologies such as Kubernetes (preferred), OpenShift, Docker Swarm, Rancher
• CI/CD tools: Jenkins, GitLab CI, Azure DevOps, Bitbucket
• Experience with versioning, patching, licensing, and performance management
• Load balancing (LB), high availability (HA), and clustering architectures

Observability & Monitoring

• Elasticsearch, Logstash, Kibana (ELK Stack)
• Prometheus, Grafana
• Log analysis, metric tracking, and event correlation

AIOps & Data

• Real-time data analytics and log analytics
• Time-series analysis, anomaly detection, and forecasting
• SQL, NoSQL, and TSDB databases (e.g., MS SQL, InfluxDB)
• Data infrastructure tools such as Apache Kafka, Spark, NiFi, Airflow

Programming & Automation

• Python (advanced level preferred)
• Scripting languages such as Bash and PowerShell
• Automation tools such as Ansible and n8n

Nice-to-Have Qualifications

• CKAD or similar Kubernetes certifications
• Azure and cloud-based architectures
• MLOps tools such as MLflow and Kubeflow

Agentic AI Capabilities

• Designing autonomous diagnostics and self-healing workflows
• LLM-based agent architectures (tool-use, planner/executor, multi-agent systems)
• Agent evaluation and observability mechanisms