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Senior Integrations Engineer

Role overview

Summary

This role focuses on building backend and integration systems for a logistics decision-intelligence platform. You will manage data-heavy systems that provide shipment visibility and risk insights, serving partners in the logistics sector.

Qualifications

  • At least 5 years of backend engineering experience building scalable, distributed production systems.
  • Hands-on proficiency in Python and TypeScript or Node.js, plus SQL, relational data modeling, and experience with NoSQL databases and ETL pipelines.
  • Experience with IoT data ingestion and contextualization, partner APIs, event-driven architectures, and messaging systems such as Kafka or RabbitMQ.
  • Practical experience with Docker, Kubernetes, REST or gRPC APIs, and cloud platforms such as AWS, GCP, or Azure.
  • Preferred: Ability to work independently as a senior individual contributor; logistics, supply chain, cold-chain, or regulated healthcare experience

Responsibilities

  • Design and build backend services and distributed systems for logistics orchestration and shipment risk analysis.
  • Own end-to-end partner data flows, integrating and normalizing multi-vendor and IoT data.
  • Develop event-driven services and predictive workflows for shipment risk assessment and exception handling.
  • Build and maintain partner-facing APIs, webhooks, queues, and other external integrations.

Key facts

Hard skills

About the company

Clera Inc. logo

Clera Inc.

  • Job Boards & Talent Marketplaces
  • 11–50
Clera is an AI talent agent that represents job candidates and connects them directly with hiring managers at venture-backed startups. The platform uses artificial intelligence to match professionals with suitable career opportunities and facilitates introductions via email, iMessage, and WhatsApp, bypassing traditional job application processes.

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Job description

About the Role

Join a small engineering team building the backend and integrations behind a logistics decision-intelligence platform for temperature-sensitive and high-value shipments. You will own data-heavy systems that turn partner and IoT data into reliable shipment visibility and timely risk insights.

What You'll Do

  • Design and build backend services and distributed systems for logistics orchestration and shipment risk analysis.

  • Own end-to-end partner data flows, from integrating and normalizing multi-vendor and IoT data through warehousing, monitoring, and operational support.

  • Develop event-driven services and predictive workflows that support shipment risk assessment, on-time and in-full performance, and exception handling.

  • Build and maintain partner-facing APIs, webhooks, queues, and other external integrations.

  • Improve the reliability and scalability of services through testing, CI/CD, monitoring, and observability.

What We're Looking For

  • At least 5 years of backend engineering experience building scalable, distributed production systems, with roughly 6 to 10 years preferred.

  • Hands-on proficiency in Python and TypeScript or Node.js, plus SQL, relational data modeling, and experience with NoSQL databases and ETL pipelines.

  • Experience with IoT data ingestion and contextualization, partner APIs, event-driven architectures, and messaging systems such as Kafka or RabbitMQ.

  • Practical experience with Docker, Kubernetes, REST or gRPC APIs, and cloud platforms such as AWS, GCP, or Azure.

  • Strong production ownership, including deployment, on-call support, security considerations, and service observability.

  • Ability to work independently as a senior individual contributor; logistics, supply chain, cold-chain, or regulated healthcare experience is a plus.

Compensation & Benefits

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

Location

Remote within the United States.

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