Software Engineer
Genetec
Software Engineer
Genetec
Unifies video surveillance, access, ALPR
Genetec · Kraków, Poland (Hybrid) · — · Posted 2026-07-22
Workplace: hybrid
Department: R&D
Mid-/Senior-level | Golang | .NET | Azure | Artificial Intelligence
At Genetec, we create exceptional outcomes for our customers with innovative strategies and software technologies that will keep their security environment robust and resilient. As a global leader in video surveillance software, the drive to go beyond expectations has been key to the Genetec experience since day one.
Why this role matters
This role turns our AI strategy into reality. By modernising our ML and GenAI stack, enabling data workflows and experimentation, and building scalable inference platforms, you’ll help teams create quality datasets, evaluate models, and move them to production. Your work will make AI deployments faster, more reliable, and easier to improve - reducing risk and cost while accelerating innovation.
The team
You’ll join a newly created, diverse team across Canada, France, and Poland, ready to grow. Bring your passion for technology, development, quality, and automation to a collaborative group that shares ideas openly. You’ll help shape our products and build the foundation for AI-driven innovation, making a real impact.
What your day will look like
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.
Support deployment, scaling, and observability of models
About you
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.
Machine Learning & MLOps
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.
Observability & Monitoring
Proficiency in telemetry and data drift and quality monitoring.
Cloud & Infrastructure
Strong skills in Kubernetes and Terraform for infrastructure automation.
Experience with scaling services in cloud environments.
Programming & Automation
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.
What's in for you
Genetec is an equal opportunity employer, we strive for diversity and inclusion through our recruitment approach as well as the training and professional development we provide. We partner with external associations and implement internal initiatives to provide a welcoming work environment for employees from all backgrounds.
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Genetec builds open-platform software and hardware that secures physical spaces, supports public safety, and streamlines operations. Its flagship Security Center combines video management, access control, and automatic license plate recognition (ALPR) into one integrated system, along with other security features. Unlike some competitors, Genetec emphasizes an open ecosystem and cross-domain integration, enabling a single platform to work with various devices and partners while helping customers scale without vendor lock-in. The company’s goal is to help organizations reduce complexity, gain better visibility, and adapt their security and operations as needs change.
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