Software Engineer – Genetec AI Platform

Genetec

Software Engineer contributing to AI-driven innovation at Genetec. Modernising ML and GenAI stack while enabling data workflows and building scalable inference platforms.

Posted 7/22/2026full-timeKraków • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data acquisition and transformation pipelines, ensuring data quality and governance. Proficient in deploying machine learning models with a focus on automation, scalability, and compliance.

Highest-signal resume keywords

Hands-On Experience With MLFlowStrong Skills In KubernetesProficiency In Golang Or .NETKnowledge Of CI/CD For MLExperience With Experiment Tracking Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality MonitoringData Lineage TrackingData VersioningInfrastructure AutomationModel DeploymentTelemetryExperiment TrackingData AnnotationCoding Skills In GolangCoding Skills In .NET

Tools & Technologies

KServeAirFlowTriton Inference ServerOpenVino Model ServerTerraformDatabricksSparkDelta Lake

Industry Keywords

DevOpsCI/CDGitOpsAutomated Deployment StrategiesResponsible AI GovernanceChampion/Contender Deployment Model

Tech Stack

Tools & technologies

AirflowCloudGoKubernetes.NETSparkTerraform

About the role

Key responsibilities & impact

Enable cheap ownership and evolution of high-quality datasets.
Build and maintain self-service data acquisition, annotation, transformation, and versioning capabilities so developers and data practitioners can move from raw data to clean, versioned datasets quickly and continuously.
Facilitate data lineage tracking and data governance.
Provide tooling to build transformation pipelines with integrated data quality checks.
Facilitate experimentation with data and models.
Enable researchers to track their experiments and reproduce past runs with minimal effort.
Provide access to services with compute clusters for running model training pipelines and experiments.
Facilitate full traceability of data, code, and artifacts across experiments and data transformation pipelines.
Design and operate secure, automated deployment workflows that move models from experimentation to production in minutes, not weeks.
Implement continuous deployment pipelines with versioning and parallel deployments to ensure quality and enable rollbacks.
Optimise runtime environments to meet latency and performance targets, supporting multi-cluster and multi-tenant scaling.

Requirements

What you’ll need

We welcome all qualified candidates, including those who may not meet every listed requirement. If you're excited about this role and believe you can make an impact, we’d love to hear from you.
Hands-on experience with MLFlow, KServe, AirFlow.
Knowledge on labelling/annotation tooling.
Experience with experiment tracking tools.
Familiarity with model runtimes and deployment (Triton Inference Server, OpenVino Model Server).
Knowledge of DevOps, CI/CD for ML, GitOps workflows, and automated deployment strategies.
Proficiency in telemetry and data drift and quality monitoring.
Strong skills in Kubernetes and Terraform for infrastructure automation.
Experience with scaling services in cloud environments.
Solid coding skills in at least one language, Golang or .NET, and the motivation to learn Golang or .NET.
Nice-to-have: Expertise in data platforms, including batch and streaming pipelines, ideally with knowledge of Databricks, Spark, and/or Delta Lake.
Knowledge in labelling/annotation tools.
Knowledge in experiment tracking tools.
Strong understanding of data quality, data versioning, and lineage tracking.
Knowledge of the Champion/Contender deployment model.
Understanding of responsible AI governance and compliance.

Benefits

Comp & perks

An opportunity to make a meaningful impact in an international, diverse, and collaborative work environment.
A culture that encourages creativity and fresh ideas, giving you the freedom to challenge the status quo and shape how we work.
A role within an industry‑leading global company and an open, supportive atmosphere.
Corporate Discount Program offering access to a variety of partner perks.
French language classes to support your international collaboration and career growth.
Participation in international team events and conferences, fostering strong connections across regions.
Benefit from an Employee Performance Bonus Plan.
Pension Plan (PPK), ensuring long‑term financial security.
Hybrid work model with three days per week in our Krakow office, supporting our collaboration and company culture.