Full Stack Engineering Manager

6 days ago


Christchurch, Canterbury, New Zealand Recruiting From Scratch Full time

About the Company Overview

Our client applies cutting-edge algorithms and composite AI solutions to provide a new approach for marketing data analytics. Unlike tools that only provide correlation, they provide true causation, giving organizations across sector and industry the ability to quantify the value of every marketing activity and maximize future marketing investments.

About the Role

We are hiring an experienced Senior Software Engineer to join our high-performing team. As a leader in designing, deploying, and managing scalable server-side applications using JavaScript and NodeJS, you will be responsible for serving our customers by helping them unlock insights about their marketing efforts through our products.

Key Responsibilities

  • Grow our AI and ML capabilities by contributing ideas and launching new engineering projects.
  • Partner with engineers, AI scientists, researchers, designers, and product managers to bring new features into production.
  • Serve customers by helping them unlock insights about their marketing efforts through our products.

Requirements

  • Primary skills:
    • Python programming: Experience delivering production-ready python programs.
    • Relational databases: Experience in querying, designing and optimizing relational databases such as Postgres.
    • Software development lifecycle management: Experience owning projects end-to-end from scoping, designing, coding, release and continuous monitoring in production environment.
    • Capacity planning and management: Experience with profiling methods and scalability assessment.
    • Data processing: Experience with data preprocessing techniques such as cleaning, transformation, normalization, and feature extraction.
  • Secondary skills:
    • ELT pipeline: Experience with ELT pipeline and orchestration systems such as Airflow.
    • Database systems: Experience working with one or more non-SQL databases such as Druid, Elasticsearch and neo4j.
    • AWS: Experience deploying and managing applications on AWS.
    • Containerization and Virtualization: Proficiency in Docker and experience with container management and deployment.
    • Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory.

Compensation

$150,000—$180,000



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