Job description

Everseen : A leader in vision AI solutions for the world’s leading retailers. The Role Reporting to the VP of Engineering who leads the development of our next generation platform, you will build the data platform that everything else at Everseen depends on. Our models are only as good as the data behind them, and this role owns the pipelines, stores and streams that turn six petabytes of daily video and event data into something teams can utilize. You will work with the latest tooling in the data space and on real time streaming systems that feed live models across thousands of stores. This is a high impact role at the center of the team who are building the next generation platform. This is an ideal role if you enjoy building data systems that hold up under real load and innovating in a fast paced iterative environment. This role will allow you to take your career to the next level, working alongside industry experts and scaling a successful global organization. Our Technology Stack Our engineering teams at Everseen have the opportunity to work with and develop skills across a modern, high-performance tech stack: Languages: Python, C/C++, CUDA (for GPU-accelerated computing) AI/ML & Computer Vision: PyTorch, OpenCV, TensorRT, ONNX Tools & Infrastructure: Linux, Docker, Kubernetes, Git, and CI/CD pipelines Data & Streaming: Real-time video processing, RTSP/video streaming, and cloud platforms What you’ll do Design and build the data pipelines and platform that power model training, evaluation and real time inference across Everseen’s products. Ownership of relevant data modeling activities, including conceptual, logical, and physical data modeling, to ensure data structures align with business requirements and analytical use-cases. Work with the product and engineering teams to design and implement advanced, cloud-based data lake-house solutions Build and run streaming, real time data applications that move event and video-derived data from stores to the platform with low latency. Model, store and serve large volumes of data on Snowflake and Databricks, and keep it reliable, queryable and cost aware. Work with applied science and platform teams to give them clean, well documented datasets and features they can trust. Own data quality, lineage and observability so problems get caught early rather than in production. Optimize storage, compute and query patterns as data volumes grow, and make sensible trade-offs between cost and performance. Drive alignment with cross-functional teams, including product, engineering, and executive leadership.Contribute to shared tooling and standards, review work, and help lift how the team handles data. Keep an eye on new tools in the data and streaming space and bring in the ones that earn their place Collaborating With You will work closely with applied science engineers, platform and infrastructure engineers, MLOps engineers, product managers and analytics teams, along with the operations teams that run our software in customer environments. Profile and Skills 3-5 years building data platforms or pipelines in production, ideally at scale. Deep understanding of data modeling, performance tuning and cost management. Strong hands-on experience with Snowflake and Databricks. Proven experience building streaming and real time data applications with tools such as Kafka, Spark Structured Streaming or Flink. Proven programming skills in Python and SQL for building data pipelines, performing data transformations, and implementing automation tasks. Comfortable with the software engineering practices that keep data systems maintainable. Solid understanding of distributed systems, data warehousing and lakehouse patterns. Experience with large scale video or event data, or other high volume sources, is a strong advantage. Familiarity with cloud platforms, Docker, Kubernetes and CI/CD for data workloads. A pragmatic approach to data quality, reliability and observability. You build things that do not keep people awake at night. Excellent communication skills and the ability to work closely with the teams that consume data. You like to share your skill, knowledge and expertise across your team and the wider organization. You enjoy solving complex problems creatively and you like to work independently in a fast moving, delivery focused team. Bachelor’s or Master’s degree in Computer Science, Engineering or a related field, or equivalent practical experience. About Everseen Shrink and inefficiency cost global retailers more than a hundred billion dollars each year. But Everseen is changing that equation. We are a leader in vision AI, transforming business operations for global retailers by reducing shrink, improving operations, and delivering a better customer experience. Supporting 11 of the top 20 global retailers, Everseen’s AI innovations help retailers save millions of dollars every month. Its flagship product, Evercheck, is deployed in 10,000 retail stores and 150,000 checkouts globally. Everseen operates at unmatched scale, processing over 15 million transactions, and more than six petabytes of video data, daily. Trusted by major food, drug, mass, and specialty retailers around the world - including Kroger, Meijer, and Woolworths - we also partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell. Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 700 employees globally, with a European headquarters in Cork, Ireland, a U.S. headquarters in Miami, and hubs in Romania, Serbia, India, Australia, and Spain. We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our culture is built on accountability, collaboration, and high standards. We take ownership of outcomes, prioritise our customers, operate as one team, move quickly with purpose, and continually raise the bar in everything we deliver. Our Culture Our culture is built on ownership and accountability, we own outcomes, not tasks. We stay relentlessly customer-first, letting their needs shape our priorities and decisions. We work as one team: we challenge ideas, align quickly, and commit together. We move with pace, without compromising on simplicity or quality. And every day, we raise the bar, strengthening our talent, pushing innovation forward, and maximizing our impact. Our Values We OWN THE OUTCOME. No silos, no excuses. We ARE CUSTOMER-FIRST. They guide our decisions. We ARE ONE TEAM. Debate, decide, commit. We MOVE WITH PACE. With simplicity and quality. We RAISE THE BAR. On talent, innovation and impact. Our Commitment Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion. Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as, race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.

Requirements

Must-haves

Everseen : A leader in vision AI solutions for the world’s leading retailers.
This role will allow you to take your career to the next level, working alongside industry experts and scaling a successful global organization.
Our Technology Stack
Our engineering teams at Everseen have the opportunity to work with and develop skills across a modern, high-performance tech stack:
Languages: Python, C/C++, CUDA (for GPU-accelerated computing)
AI/ML & Computer Vision: PyTorch, OpenCV, TensorRT, ONNX
Tools & Infrastructure: Linux, Docker, Kubernetes, Git, and CI/CD pipelines
Data & Streaming: Real-time video processing, RTSP/video streaming, and cloud platforms
What you’ll do
Design and build the data pipelines and platform that power model training, evaluation and real time inference across Everseen’s products.
Ownership of relevant data modeling activities, including conceptual, logical, and physical data modeling, to ensure data structures align with business requirements and analytical use-cases.
Work with the product and engineering teams to design and implement advanced, cloud-based data lake-house solutions
Build and run streaming, real time data applications that move event and video-derived data from stores to the platform with low latency.
Model, store and serve large volumes of data on Snowflake and Databricks, and keep it reliable, queryable and cost aware.
Work with applied science and platform teams to give them clean, well documented datasets and features they can trust.
Own data quality, lineage and observability so problems get caught early rather than in production.
Optimize storage, compute and query patterns as data volumes grow, and make sensible trade-offs between cost and performance.
Drive alignment with cross-functional teams, including product, engineering, and executive leadership.Contribute to shared tooling and standards, review work, and help lift how the team handles data.
Keep an eye on new tools in the data and streaming space and bring in the ones that earn their place
Collaborating With
Profile and Skills
3-5 years building data platforms or pipelines in production, ideally at scale.
Deep understanding of data modeling, performance tuning and cost management.
Strong hands-on experience with Snowflake and Databricks.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonmldockerkubernetesci/cdsql

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Vision