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    Lead Systems Architect - Toronto, ON, Canada - Cinareo

    Cinareo
    Cinareo Toronto, ON, Canada

    3 weeks ago

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    Description
    At Cinareo, we are building the future of capacity planning. Cinareo is a growing leader in the contact center capacity planning and workforce insights industry.

    Enterprises use Cinareo's SaaS solution to better understand and gain insights in their contact center operations, currently offering capacity planning, budgeting, and recruiting and training planning capabilities.

    As the Senior Lead Technical Architect at Cinareo, you will play a critical role in shaping the future of our engineering practices, driving innovation, and leading the development of our products.

    You will be at the forefront of integrating cutting-edge data science techniques with robust capacity planning algorithms, and intuitive UX.

    The right candidate will have a high degree of versatility and excels at creating software at all layers of web application platforms, with a large-scale systems architect's mindset.

    The role requires outstanding communication and customer empathy skills, and a strong background in data science and multi-vector optimization functions.

    Since we are a remote-first company, you will simultaneously need to be able to collaborate well and be self-directed and work independently.

    The ideal person will be passionate about building the future of capacity planning.


    Team Management:
    Work with a team of external engineers and data scientists to build our internal engineering capabilities.
    Build and lead a high-performing technical team, fostering a culture of collaboration, innovation, and continuous improvement. Drive technical excellence through continuous improvement initiatives, adoption of best practices, and staying ahead of the technology curve.

    Provide strategic direction for the technical operations and R&D functions, aligning it with the company's overall goals and objectives.

    Manage software development lifecycle, ensuring that design, testing, and maintenance are meeting quality standards.

    Define and track key performance indicators (KPIs) to measure the effectiveness and impact of the technology operations and R&D department's efforts.


    Vendor Management:
    Oversee resource allocation and budget management to optimize costs and efficiency.
    Work with vendor partners in a collaborative and consultative manner for augmentation of technical research and development efforts.

    Technical Knowledge and Skills

    Proficiency in Python (FastAPI, concurrency), Scala, or similar; js is a plus.
    Experience with Hadoop, Spark, Kafka, and other big data frameworks.
    Knowledge of SQL and NoSQL databases such as PostgreSQL, MongoDB, etc.
    Experience with Docker, Kubernetes, CI/CD pipelines, and monitoring tools like Prometheus and Grafana.
    Experience with RESTful APIs, microservices architectures, and both front-end and back-end development frameworks.

    Proven track record of at least 4+ years in engineering leadership roles, preferably in data science, AI, or capacity planning technologies.

    Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD is a plus.
    Demonstrable experience in leading large-scale software projects and delivering high-quality solutions in a timely manner.
    Strong technical prowess with hands-on experience in modern software practices and tools, including AI and machine learning.
    Exceptional leadership skills with the ability to motivate and guide a team of diverse backgrounds and technical levels.
    Excellent communication skills, capable of conveying complex technical ideas in a clear and engaging manner.
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