Wakapi
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About Wakapi
About Wakapi
Wakapi is a forward-thinking company dedicated to harnessing the power of data to create innovative solutions. We're passionate about tackling challenging problems and making a meaningful impact across various industries. At Wakapi, we believe in empowering our team members to contribute their unique skills and perspectives to drive our collective success.
Our Culture
We foster a collaborative and supportive environment where everyone is encouraged to learn, grow, and thrive. Wakapi values:
- Innovation: We constantly seek new and creative approaches to solving problems.
- Collaboration: We believe in the power of teamwork and open communication.
- Integrity: We operate with honesty, transparency, and ethical principles.
- Growth: We provide opportunities for professional development and advancement.
Why Work at Wakapi?
Choosing Wakapi means joining a team that's passionate about making a difference. We offer a stimulating work environment, competitive compensation and benefits, and the chance to work on cutting-edge projects. Be a part of something meaningful, contribute your expertise, and shape the future with Wakapi.
We believe in investing in our employees' well-being and offer flexible work arrangements where possible. We celebrate diversity and are committed to creating an inclusive workplace where everyone feels valued and respected.
Open Positions
Data Engineer (Core & Analytics)
Wakapi
The RoleBuilds performant data processing pipelines, manages relational databases, and constructs cloud-portable data lake environments using modern open storage formats and embedded analytical engines.ResponsibilitiesPipeline Design: Construct resilient data processing pipelines in Python using Medallion architecture principles (Bronze/Silver/Gold) to transform raw data into analytics-ready assets.Open Storage Management: Standardize data storage using open formats including Parquet, Apache Iceberg, and Delta Lake to ensure cross-cloud compatibility.Embedded Analytics: Leverage DuckDB integrated with Python for fast, lightweight, and performant localized data processing within ETL workflows.Database Operations: Architect and optimize production PostgreSQL schemas while utilizing SQLite for embedded or lightweight localized storage needs.Distributed Compute: Scale heavy ETL, data transformation, and analytics workloads using Databricks or Apache Spark.RequirementsAdvanced SQL proficiency with deep PostgreSQL expertise and working knowledge of SQLite.Hands-on experience building robust analytical pipelines using Python and DuckDB.Mastery of open table and storage formats (Parquet, Apache Iceberg, Delta Lake).Proven track record designing data lakes using the Medallion data processing architecture.Familiarity with the Databricks / PySpark ecosystem for distributed processing.
Computer Vision / AI Systems Engineer
Wakapi
The Role Researches, architectures, and constructs production AI vision systems, leveraging state-of-the-art detection models and stream processing pipelines to extract attributes and infer intelligence from image and video streams in real time. Responsibilities Model Architecture & Development: Design, train, and fine-tune state-of-the-art vision models (e.g., YOLO variants, DETR, Transformers) for object detection, classification, and attribute extraction. Stream Processing & Pipeline Engineering: Build low-latency ingestion and processing pipelines for high-throughput video and image streams (e.g., RTSP, WebRTC, frame decoding). Domain Application & LPR: Engineer end-to-end computer vision workflows, including License Plate Recognition (LPR/ANPR), Optical Character Recognition (OCR), and multi-object tracking (MOT). Inference Optimization: Optimize model performance for efficient execution on cloud infrastructure (Kubernetes/GCP) and edge devices using TensorRT, ONNX, or OpenVINO. Dataset & Active Learning: Curate, annotate, and augment visual datasets, establishing automated model retraining loops and evaluation frameworks. Requirements 3+ years of hands-on experience designing and deploying computer vision and deep learning models in production environments. Deep expertise with modern object detection architectures (YOLO, DETR, Faster R-CNN, Vision Transformers). Strong programming skills in Python and deep learning frameworks (PyTorch, OpenCV, TensorFlow). Proven experience working with video stream ingestion, frame processing, and low-latency inference pipelines. Demonstrated experience with License Plate Recognition (LPR), OCR, or fine-grained attribute inference systems. Familiarity with model quantization, ONNX export, and TensorRT compilation for hardware acceleration.
IT Operations & Digital Support Engineer
Wakapi
The Role: The Digital Support Engineer is responsible for delivering high-level technical support across the company’s digital ecosystem, ensuring the reliability, performance, and security of mobile applications, web platforms, and customer identity workflows. The role owns incident resolution end-to-end, drives proactive monitoring and automation initiatives, and continuously works toward improving operational stability and reducing MTTR. This is a 100% remote position with rotating shifts, based on operational needs. Responsibilities: Administer and support the SAP Customer Data Cloud (CIAM) platform to manage customer identities, profiles, and consent preferences. Troubleshoot customer registration, login, and social authentication flows to ensure a seamless user experience across digital properties. Ensure all identity and access workflows comply with global data privacy and security regulations. Provide remote technical support to identify, troubleshoot, and resolve software and system issues across retail and digital platforms. Access and manage remote systems using PuTTY and WinSCP to perform diagnostics, retrieve logs, and update system configurations. Utilize Linux commands to manage file permissions, processes, and environment variables during investigations. Execute ad-hoc SQL queries on DB2, MySQL, and SQL Server databases to investigate data inconsistencies and missing records. Support digital applications including Same Day Delivery platforms and mobile applications. Utilize Dynatrace for full-stack monitoring, including application performance, CPU and memory usage, and database health. Maintain full incident ownership from detection through resolution, ensuring adherence to defined SLAs (6–9 hour targets). Participate in Major Incident bridges, providing clear technical context, progress updates, and resolution status. Develop automation workflows using Python and Power Automate to streamline monitoring, alerting, and repetitive operational tasks. Identify recurring systemic issues and collaborate with cross-functional teams to implement permanent corrective actions. Drive continuous improvement initiatives focused on reducing Mean Time to Resolve (MTTR) and improving platform stability. Requirements: Bachelor’s degree in Computer Science, Software Engineering, or a related field. Minimum of 4+ years of experience in a technical support, digital operations, or system support engineering role. Strong proficiency in Linux operating systems, including process handling, file permissions, and environment variables. Ability to write and execute ad-hoc SQL queries for troubleshooting and data validation purposes. Hands-on experience with monitoring and observability tools, preferably Dynatrace. Experience using PuTTY, WinSCP, and Jira for system access, diagnostics, and incident tracking. Solid understanding of XML structures and API integrations. Experience supporting digital and mobile platforms in a production environment. Familiarity with automation tools such as Python, Power Automate, or Power BI is considered a plus. Knowledge of retail technologies and Point-of-Sale (POS) systems is a plus. Hands-on experience with SAP Customer Data Cloud (CIAM), including user schema and authentication flow management, is a strong advantage. Ability to work in a rotational schedule supporting a 16-hour daily digital coverage window, 7 days per week. Excellent English communication skills, both written and verbal, for documentation and incident management.
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