120 Amazon Automation Software Engineer Jobs Hiring Near You

Workplace: On-site, 5 days per week
Location: Marina, CA

We are seeking an engineer to build custom device drivers and data integrations that connect off-the-shelf automation equipment directly into our Ignition platform. This role is software-first. These systems do not use PLCs. Devices communicate over basic protocols (TCP/IP, serial) and are integrated via custom Python drivers running on edge devices, with data surfaced into Ignition Perspective and published over MQTT (Message Queuing Telemetry Transport). The engineer will own the path from raw byte-level device communication through driver development, API services, containerized deployment, and production rollout. 

Key Job Responsibilities
    Write custom TCP/IP drivers in Python for off-the-shelf automation equipment and devices that do not ship with native SCADA connectivity
    Manipulate and parse data at the byte level, constructing and decoding raw binary protocol frames, handling packing and unpacking, endianness, framing, and checksums
    Interface directly with new and unfamiliar device types, reverse-engineering or implementing their communication interfaces (TCP/IP sockets, serial protocols, board-level or PCB-level interfaces) and mapping device functions into a usable driver layer
    Stand up and validate new devices independently, bringing them online outside the production system before integrating them
    Configure Ignition to interface with these devices in the absence of a PLC layer, developing screens and functionality in Ignition Perspective
    Design and implement API services that expose device functionality, and own the deployment strategy for those services into production
    Containerize drivers and services using Docker, and deploy them onto edge devices, including touchscreen industrial PCs on the floor
    Manage container lifecycle in production, including image builds, versioning, updates, restart and recovery behavior, and resource constraints on edge hardware
    Publish time-series device data over MQTT using standard industrial schemas, specifically Sparkplug B, including correct topic namespace, payload encoding, and birth/death certificate handling
    Optimize for latency and cycle time, with a long-term mandate to reduce cycle time and deliver reliable real-time data
    Build automation around the integration so it scales and replicates across devices and stations
    Document driver interfaces, network architecture, container configurations, and deployment procedures
Required Qualifications
    Bachelor's degree in Computer Engineering, Electrical Engineering, Controls Engineering, Mechatronics, Software Engineering, or equivalent technical field
    Strong, production-grade Python development experience. This is a primary requirement, not a scripting side skill
    Demonstrated experience writing custom TCP/IP or socket-level drivers for hardware devices
    Hands-on experience manipulating data at the byte level, including binary protocol parsing, serialization, and bitwise operations
    Hands-on experience with serial protocols and integrating off-the-shelf or board-level devices that lack turnkey connectivity
    Working knowledge of MQTT, including standard industrial schemas such as Sparkplug B
    Experience with Ignition (Inductive Automation), specifically Perspective, and the ability to articulate Perspective versus Vision tradeoffs
    Experience designing and deploying API services, including deployment to production
    Hands-on experience with Docker and containerization, including writing Dockerfiles, building images, and deploying containerized services
    Experience deploying software to edge devices or industrial PCs
    Comfortable working onsite in an active manufacturing environment
Preferred Qualifications
    Deep MQTT Sparkplug B implementation experience (edge node and device lifecycle, birth/death certificates, protobuf payload encoding)
    Experience with container orchestration and management at the edge (Docker Compose, Portainer, K3s, or comparable)
    Experience with CI/CD pipelines for building and shipping containerized services
    Experience with latency optimization and cycle-time reduction in real-time data systems
    Prior work integrating devices into SCADA or MES platforms without an intermediate PLC layer
    Exposure to aerospace, EV, or other regulated manufacturing environments where data traceability is critical
    Experience with Ignition module development or gateway scripting
    Familiarity with time-series data storage and retrieval at scale
    Experience with Python's struct, socket, and asyncio libraries or equivalent low-level networking and binary-parsing tooling
Salary Range 
    $120,000-$145,000
    The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience