About the company
Our partner is looking for a Senior Integrations Engineer based in United States. This is a senior individual contributor backend engineering role within a well-funded, high-growth startup environment.
Responsibilities
- Design, develop, and operate scalable backend services supporting logistics orchestration, risk management, and decision intelligence.
- Build and maintain data-intensive distributed systems that ingest, process, and contextualize high-volume IoT monitoring data in real time.
- Develop predictive capabilities for on-time, in-full (OTIF) performance and automate workflows for identifying and handling shipment exceptions.
- Architect event-driven data pipelines using messaging technologies to reliably process large volumes of connected-device data.
- Design and maintain APIs and backend integrations using REST and/or gRPC to support reliable communication across services and systems.
- Collaborate closely with engineering leadership and cross-functional stakeholders to shape product requirements, technical architecture, and engineering priorities.
- Champion strong software engineering practices, including automated testing, CI/CD, monitoring, observability, reliability, and maintainability.
- Build systems for scale, resilience, and high availability in an environment where data accuracy and uptime have a direct operational impact.
- Contribute to technical decision-making and serve as a senior engineering voice within a lean, high-velocity team.
Requirements
- 5–15 years of professional backend engineering experience, with a track record of building and operating scalable, distributed systems.
- Strong proficiency in at least one modern backend programming language, such as Python, Java, Go, or Rust; strong Java and/or Python experience is preferred.
- Hands-on experience designing and operating data-heavy distributed systems, including systems involving significant data ingestion and processing requirements.
- Experience working with IoT data ingestion, processing, and contextualization.
- Strong knowledge of relational databases, SQL, and data modeling; experience with NoSQL databases and ETL pipelines is a plus.
- Experience designing event-driven architectures and working with messaging platforms such as Kafka, RabbitMQ, or similar technologies.
- Hands-on experience with Docker and Kubernetes for containerization and orchestration.
- Experience deploying, scaling, and operating production services on cloud platforms such as AWS, GCP, or Azure.
- Experience designing and developing APIs using REST and/or gRPC.
- Strong understanding of software engineering best practices, including testing, CI/CD, monitoring, observability, and production operations.
- Excellent communication and collaboration skills, with the ability to influence architecture and engineering decisions across teams.
- Ability to work effectively in a lean, fast-paced, growth-stage startup environment with a high degree of ownership.
- Domain knowledge in logistics, cold-chain operations, shipment risk, or OTIF prediction is a plus.
- Experience in logistics technology, supply chain, IoT, or other data-intensive technology environments is advantageous.
- Familiarity with data security, privacy, and regulatory requirements relevant to pharmaceutical or cold-chain operations is a plus.
- Eligibility to work in the United States or ability to obtain visa sponsorship; sponsorship is available for this position.
Conditions
- Base salary of $130,000–$160,000 USD annually.
- Equity participation.
- Cash bonus opportunity.
- Visa sponsorship available.
- Fully remote position open to candidates located anywhere in the United States.
- US-aligned working hours.
- Opportunity to work on high-impact technology protecting pharmaceutical and perishable shipments.
- Senior individual contributor role with meaningful influence over architecture, engineering practices, and product direction.
- Opportunity to join a lean, high-velocity team in a growth-stage startup environment.
- Structured interview process including a manager introductory conversation, take-home technical assessment, and final interview.