Avatar for Clip Automation
Clip Automation
Actively Hiring
Collaboration and connectivity platform to solve manufacturing problems and improve productivity
  • B2B
  • Early Stage
    Startup in initial stages

Sr Engineer / Staff Engineer -Distributed Systems & Real-Time Telemetry

  • $180k – $225k
  • |Remote ()
  • |10 years of exp
  • |Full Time
Posted: 1 week ago• Recruiter recently active
Hires remotely in
Remote Work Policy

Remote only

Company Location
Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
C++
Java
Cassandra
Scala
Docker
MQTT
Rust
InfluxDB
Kubernetes
Apache Kafka
Kinesis
Go
Confluent
Clickhouse
NATS
TimescaleDB

About the job

About Clip

Clip Automation is an Industry 4.0 company revolutionizing manufacturing operations worldwide. Based in Silicon Valley and founded by former Apple and Juul engineers with 25+ years of experience solving efficiency, productivity, and manufacturing challenges in high-volume production, Clip brings people, processes, and machines together.

Our SaaS platform, ClipSuite, spans cloud and edge and leverages IoT, AI, and ML to deliver industrial data extraction, remote asset video monitoring, real-time collaboration, machine-driven data, and detailed reporting — all in one customizable, user-friendly system. Learn more at clipautomation.com.

The Opportunity

ClipSuite ingests high-frequency data from thousands of machines, PLCs, sensors, and cameras on factory floors around the world. We're looking for a Staff Engineer to own the architecture of that backbone — the distributed systems that move real-time telemetry from the edge to the cloud reliably, at low latency, and at scale.

This is a hands-on technical leadership role. You'll set the technical direction for our IoT and streaming platform, write critical-path code, and raise the engineering bar across the team. If you've built systems where dropped messages and seconds of lag actually matter, we want to hear from you.

What You'll Do

  • Architect, build, and operate distributed systems that ingest, process, and serve real-time telemetry from industrial IoT devices at scale
  • Own the edge-to-cloud data path: device connectivity, edge gateways, message brokers, stream processing, and storage
  • Design for reliability in hostile environments — intermittent connectivity, store-and-forward, back-pressure, out-of-order and duplicate data
  • Drive scalability and performance: throughput, latency, horizontal scaling, multi-tenant isolation, and cost efficiency
  • Define and champion observability (metrics, tracing, logging, alerting) and SLOs for the platform
  • Lead design reviews and write technical specs that shape the roadmap; make and document key build-vs-buy and architectural decisions
  • Partner with Product, Data, Network, and Frontend teams to deliver end-to-end features — from machine signal to dashboard
  • Mentor engineers, set coding and operational standards, and lead incident response and postmortems
  • Thrive in a startup: wear many hats and grow with the company

What You'll Bring

  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 10+ years of software engineering experience, including 4+ years designing and operating large-scale distributed systems in production
  • Deep expertise in one or more of: Go, Java, Scala, Rust, C++, or Python
  • Hands-on experience with streaming and messaging systems such as Apache Kafka/Confluent, MQTT, NATS, or Kinesis
  • Strong grasp of distributed systems fundamentals — consistency, partitioning, replication, fault tolerance, and exactly-/at-least-once semantics
  • Experience with time-series data and high-throughput storage (e.g., TimescaleDB, InfluxDB, ClickHouse, Cassandra)
  • Production experience on AWS (or another major cloud) with containers and orchestration (Docker, Kubernetes)
  • A track record of leading cross-team technical initiatives and mentoring engineers

Nice to Have

  • Industrial IoT protocols: OPC UA, Modbus, MQTT Sparkplug B, EtherNet/IP
  • Edge computing frameworks (AWS IoT Greengrass, Azure IoT Edge, K3s)
  • Stream processing with Flink, Spark Streaming, or Kafka Streams
  • Video streaming or media pipelines
  • Manufacturing, production, or operations environment experience

Travel

Occasional customer site visits, as required.

Location & Work Model

Indianapolis, IN or Fort Worth, TX or SF Bay Area Preferred. Remote accepted.

Bay Area candidates are strongly preferred.

Compensation & Benefits

[Base salary range: US Based $180K-$225K ] + equity. Adjusted based on foreign location.

Competitive benefits package including medical, dental, vision, life insurance, and 401(k).

Equal Opportunity

  • Clip is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

About the company

Clip Automation company logo

Clip Automation

Actively Hiring
Collaboration and connectivity platform to solve manufacturing problems and improve productivity1-10 Employees
Company Size
1-10
Company Industries
B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning
  • B2B
  • Early Stage
    Startup in initial stages
Learn more about Clip Automation image

Founders

Sriny Sundararajan
CTO • 7 years
San Francisco Bay Area
image
View the team image

Similar Jobs

GVOS  company logo
GVOS
An Edge Cloud for Autonomous Driving
Ascend company logo
Ascend
Finance Automation Platform for the $7T+ Insurance Industry
Kick Health company logo
Kick Health
The Online Performance Medicine Clinic for Energizing Sleep and Confident Presentations
Crema Social company logo
Crema Social
Fast Growting International Dating through a Social Meal Experiment
Onos Health company logo
Onos Health
The first comprehensive AI platform for health plans to improve behavioral & mental health services
Bobyard company logo
Bobyard
Build the future of construction estimating
Convex company logo
Convex
The reactive backend platform that keeps up with you and your agents