Senior Cloud Engineer - IoT Data Plan

SJE Career•Hoover, AL

6d•Remote

About The Position

We are looking for a Senior Cloud Engineer – IoT Data Plane to help build the next generation engineering team for our AMI Global brand. This role may work remote, but we would prefer a candidate to be near one of our SJE locations. Our AMI brand is a leading IoT connectivity solution for equipment via hardware, SaaS, and software. Its gateways and cloud connected solutions enable real-time monitoring, control, analytics, and commercialization support. We provide integration, development, and go-to-market services. We default to managed and serverless. We’d rather pay AWS to run infrastructure than hire ops headcount to run it ourselves. Industry-standard protocols and formats (OpenAPI, OICD/OAuth2, OpenTelemetry) are the default; bespoke inter-service protocols require a written argument before they ship. Tests gate every merge. We aim for boring releases. GitHub is source of truth and deploys go out in waves across tenant accounts, so a bad release stops at the first wave rather than reaching every customer at once. AI tooling is woven into how we work, across pair programming, code generation, and test scaffolding. The productivity gain is real, and we staff around it. On-call is business hours during the first phases of rollout, expanding as the platform matures.

Requirements

Experience building production cloud systems on AWS (7+ years), with deep IoT or large-scale streaming experience.
Experience operating a MQTT-based device fleet at 100k devices, or a comparable ingest-heavy streaming workload (Kinesis, MSK, Kafka, etc.) at similar scale.
Experience making strong opinions on time-series storage trade-offs, based on actual operational experience.
Experience writing design documents. Will write a handful in the first 90 days.
Proficiency in IaC (Terraform or CDK) and CI/CD. Nothing in production should be provisioned by hand.
Experience talking to customer engineering teams directly, including co-designing APIs.
A 4-year degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent degree.
7-10 years of experience.

Nice To Haves

Industrial IoT or critical-infrastructure background (water, energy, manufacturing, building automation).
Modbus or other industrial-protocol exposure.
ISO 27001 or SOC 2 platform experience.
Multi-account AWS Organizations / Control Tower experience.

Responsibilities

Own the data plane end-to-end, from Modbus telemetry coming in over MQTT, getting normalized at ingest against a versioned device-type mapping, landing in a semantic time-series store, and going back out through our public API.
Size the architecture for hundreds of thousands of devices, and a meaningful share of our customers consume the platform headlessly through that API rather than through the UI.
MQTT broker selection: AWS IoT Core, self-hosted, or managed third-party. Write an ADR.
Telemetry ingestion at fleet scale: Handle backpressure, validation, dead-letter handling, and surviving occasional poison-pill payloads without taking the platform down.
Define the semantic data model: Normalize raw Modbus against a versioned, device-type-aware mapping at ingest. Ensure this normalized form is used for alerts, reports, analytics, and customer APIs.
Select and configure time-series storage: Engine choice (Timestream, Influx, ClickHouse, or other), partitioning, retention, and query patterns.
Define the public API contract: Co-design with the launch customer, ensure it is versioned, OpenAPI-described, and semantic. Support customers who consume the platform headlessly via the API.
Instrument cost per device and cost per tenant early, as serverless at IoT volumes can become expensive in non-obvious ways.