Lead AIOps Engineer

Your new company 

For our client from Gdańsk, we are looking for a Lead AIOps Engineer.

Your new role 

In this opportunity, as a Lead AIOps Engineer, you will:

• Build and deploy AIOps capabilities that reduce alert fatigue and improve incident response, including event correlation and noise reduction techniques.
• Develop and produce machine learning approaches for operational use cases such as anomaly detection, predictive monitoring, and early-warning signals from telemetry and operational data.
• Design and implement data pipelines that ingest, normalise, and enrich high-volume operational signals and service management data (for example: monitoring signals combined with tickets, changes, releases, and operational knowledge) to enable intelligent automation.
• Create and maintain automation (scripts, runbooks, workflows) that turns insights into action and enables automated incident response and remediation, with appropriate safeguards and validation steps.
• Engineer intelligent, AI-native service management workflows that reduce friction and cycle time, such as smarter routing, enrichment, summarisation, and decision support across incident, change, and release workflows.
• Partner with engineering and platform teams to automate release and change activities where possible, including automated change creation, deployment signal ingestion, release health checks, post-deployment verification, and rollback decision support, to accelerate time-to-market while reducing risk.
• Establish engineering standards for model performance, explainability, and safe automation, including feedback loops to reduce false positives and improve trust over time.
• Mentor and guide other engineers through technical leadership, code reviews, patterns, and reusable components.

What you'll need to succeed 

You’re fit for the role of Lead AIOps Engineer if you have the following required qualifications:

• Bachelor’s degree in computer science, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, ML engineering, data engineering, DevOps/SRE, platform engineering, or automation-heavy operations roles.
• At least 3 years of hands-on AI/ML development and engineering experience, including building and training models and deploying them into production or production-like environments.
• Strong coding ability (Python plus other languages used for services and automation) and experience building reliable, maintainable production systems.
• Experience working with operational telemetry such as metrics, logs, events, and traces, and using those signals to drive detection and response.
• Experience connecting operational intelligence to workflow execution through automation or orchestration, with a bias toward simplifying processes and accelerating delivery.
• Proven ability to translate ambiguous problems into shipped solutions that improve operational and delivery outcomes.
• A genuine passion for technology and continuous learning, with a track record of staying current as tools and techniques evolve.

What you need to do now 

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.