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Senior Integrations Engineer

Role overview

Qualifications

  • 5 or more years of backend engineering experience building scalable, data-intensive distributed systems
  • Hands-on proficiency in Python and TypeScript/Node.js; strong SQL and relational data modeling skills
  • Primary experience owning external partner-facing operational data integrations (not internal-only, DevOps, ETL-only, or general full-stack work)
  • Experience with IoT data ingestion, processing, and contextualization

Responsibilities

  • Design and build backend services that contextualize IoT monitoring data and quantify shipment risk in real time
  • Own external partner-facing operational data integrations across APIs, webhooks, queues, carrier feeds, sensors, and vendor systems
  • Build predictive systems for on-time, in-full (OTIF) outcomes and automate exception-handling workflows
  • Maintain production ownership of partner data pipelines, including normalization, warehousing, observability, and on-call response

Key facts

Hard skills

About the company

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Clera

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Company details

IndustryStaffing & Recruiting
Company size1 - 10

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Job description

About the Role

This is a senior individual contributor role on a small integrations team, building the backend services and data-heavy distributed systems behind a cold-chain risk-management platform used by pharma and perishables shippers worldwide. You will own end-to-end partner data flows, from multi-vendor IoT ingestion and normalization through warehousing, observability, and on-call support, with direct impact on shipment reliability and product loss prevention.

What You'll Do

  • Design and build backend services that contextualize IoT monitoring data and quantify shipment risk in real time.

  • Own external partner-facing operational data integrations across APIs, webhooks, queues, carrier feeds, sensors, and vendor systems.

  • Build predictive systems for on-time, in-full (OTIF) outcomes and automate exception-handling workflows.

  • Maintain production ownership of partner data pipelines, including normalization, warehousing, observability, and on-call response.

  • Contribute to event-driven architectures using messaging systems such as Kafka or RabbitMQ.

  • Deploy and operate containerized services on cloud infrastructure (AWS, GCP, or Azure) using Docker and Kubernetes.

  • Collaborate closely with leadership and cross-functional teammates, shipping high-leverage work at startup pace.

What We're Looking For

  • 5 or more years of backend engineering experience building scalable, data-intensive distributed systems.

  • Hands-on proficiency in Python and TypeScript/Node.js; strong SQL and relational data modeling skills.

  • Primary experience owning external partner-facing operational data integrations (not internal-only, DevOps, ETL-only, or general full-stack work).

  • Experience with IoT data ingestion, processing, and contextualization.

  • Solid grasp of API design and development (REST and/or gRPC).

  • Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, or similar).

  • Hands-on experience with Docker and Kubernetes, and deploying services on AWS, GCP, or Azure.

  • Strong software engineering practices: testing, CI/CD, monitoring, and observability.

  • Ability to operate independently as a senior IC on a lean team.

  • Domain knowledge in logistics, cold chain, supply chain, or IoT is a strong plus.

  • Experience with NoSQL databases, ETL pipelines, or data security and privacy considerations in regulated industries is a plus.

  • Prior experience at a growth-stage startup is a plus.

Compensation & Benefits

Base salary: $130,000 to $160,000 USD annually, plus equity and a cash bonus. Visa sponsorship is available.

Location

Fully remote, US-based.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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