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    DataProphet

    Manufacturing AI

    Software Engineer (IIoT)

    Cape Town, South AfricaRemoteFull-time4+ yrs experiencePosted 1mo ago
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    Job description

    Introduction:

    Dataprophet collects billions of data points every month from factories around the globe - yet we're just getting started. Our products and services consist of a fleet of purpose-built industrial edge devices (EDGE), a data lake and web front-end for data centralisation and visualisation (CONNECT), and targeted machine learning solutions (ML).

    Role Overview:

    We are looking for a skilled software engineer to join our EDGE team. As an EDGE Software Engineer you join a small team of senior software engineers to execute upon and refine the Edge product roadmap.  This is a varied and fast-paced role that will keep you on your toes. You will have the opportunity to deepen your knowledge of Linux systems, streaming frameworks, infrastructure management, and concurrent programming, to name a few.

    Many parts of the Edge stack pose unique technical challenges that don’t quite fit a typical Software Engineering role. Learning is a key part of our team, and we put a great focus on upskilling and orienting team members to make sure that they gradually become comfortable with the entire stack. We do in-depth PR reviews with helpful feedback, and put a focus on code quality over delivery speed.

    Roles and responsibilities will include, but are not limited to:

    • Development of the Edge stack, a diverse set of tools and software that streams factory data to the cloud. The Edge stack has low technical debt, a high quality codebase and incorporates modern design principles. Unique challenges include:
      • Fully headless operation across a large fleet of devices
      • Low-spec hardware requiring attention to performance optimisation and reliability
      • Stringent stability, correctness and security requirements
      • Transitioning seamlessly between offline and online operation
    • Architecting, deployment and maintenance of a highly diverse, asynchronous Edge fleet. Unique challenges include:
      • Automation and monitoring of many devices spanning the globe.
      • Unreliable connectivity, power and low bandwidth requires a highly reliable deployment pipeline
      • Fully remote managed fleet, requiring the development of unique solutions to ensure reliability of data streams
      • Diverse, in-depth monitoring and alerting to allow a small team to manage a very large infrastructure
      • Development of a highly customised, hardened Linux-based distribution with modern security features  
    • Development of the Edge network and data ingestion pipeline. Unique challenges include:
      • Development of a high throughput, low latency data ingestion pipeline that has strong data delivery and strict security requirements
      • Development of the Edge VPN network, which needs to operate reliably and efficiently in a large variety of corporate networks via multiple protocols
    • Architecting, administration and management of the Edge Cloud Infrastructure. Requirements include:
      • Building solutions that can be replicated across multiple cloud environments
      • Highly automated deployments and pipelines
      • Strict security requirements to meet Industrial cybersecurity standards
    • Development of the Edge onboarding process, which involves tooling development to allow OEMs to onboard and prepare Edge devices at scale. Unique challenges include:
      • Automating processes like identity attestation, device acceptance and OS installations
      • Providing tools to onboard legacy hardware that has already been deployed at scale
    • Working with skilled OEM partners that provide detailed and relevant project ideas, requirements and input to develop a truly unique and valuable platform.

    Qualifications & Experience:

    • At least a relevant short course, diploma or degree in Computer Science, Electrical Engineering, or a similar field.
    • At least 4 years' experience of Linux systems, collaborative software engineering in general, and shell scripting and Python development in particular.

    Skills and tools

    • Being comfortable with on-the-job learning
    • Required skills at an intermediate to senior level:
      • Python software engineering
      • Linux systems administration
      • Source Control (GitHub; Git)
    • Any of the following skills are a plus:
      • DevOps: AWS, Terraform, CI/CD
      • Fleet management: SaltStack
      • Monitoring: Prometheus, Grafana
      • Golang
      • Bash scripting
      • Networking: Wireguard, routing, load-balancing
      • Security: Linux firewalls, SIEM/EDR, advanced security features like FDE and TPMs

    Job details are sourced from the employer's original posting.

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    About the company

    DataProphet

    DataProphet provides AI-powered solutions for manufacturing companies to optimize their operations and improve efficiency.

    View all DataProphet jobs
    Industry
    Manufacturing AI
    Open roles
    4

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