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Remote Aircraft Load Planner Jobs in Utah (NOW HIRING)

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Remote Aircraft Load Planner information

What is a remote aircraft load planner?

A Remote Aircraft Load Planner is a logistics professional who is responsible for calculating and planning the distribution of cargo, baggage, and passengers on an aircraft, often working remotely using specialized software and communication tools. Their main goal is to ensure the aircraft's load is balanced and within safety limits, optimizing fuel efficiency and compliance with aviation regulations. They collaborate closely with ground operations, flight crews, and dispatchers to finalize load sheets and address last-minute changes. This role is essential for flight safety and operational efficiency, especially in cargo and commercial aviation.

What are the key skills and qualifications needed to thrive as a remote aircraft load planner?

To thrive as a Remote Aircraft Load Planner, you need a solid understanding of weight and balance principles, cargo handling procedures, and typically a background in aviation or logistics. Familiarity with load planning software, airline-specific systems, and sometimes IATA or FAA certification is essential. Attention to detail, problem-solving abilities, and strong communication skills are crucial for coordinating with remote teams and ensuring accurate load distribution. These skills are vital to ensure flight safety, regulatory compliance, and efficient aircraft operations.

What are some common challenges faced by remote aircraft load planners, and how can they be effectively managed?

Remote Aircraft Load Planners often face challenges such as coordinating with multiple teams across different time zones, adapting to rapidly changing flight schedules, and ensuring compliance with safety regulations from a distance. Effective communication skills and proficiency with digital collaboration tools are essential for overcoming these obstacles. Staying organized and proactive in monitoring updates from operations, cargo, and flight crews helps ensure the safe and efficient distribution of aircraft loads. Regular training on airline software and safety protocols can also support success in this remote role.

What is the difference between Remote Aircraft Load Planner vs Remote Flight Operations Coordinator?

AspectRemote Aircraft Load PlannerRemote Flight Operations Coordinator
CertificationsAircraft loading certifications, FAA regulations knowledgeFlight operations certifications, FAA regulations familiarity
Work EnvironmentAircraft loading planning, cargo management, logisticsFlight scheduling, communication with crews and ground staff
Industry UsageAirlines, cargo carriers, charter servicesAirlines, private flight operators, charter companies

The Remote Aircraft Load Planner primarily focuses on cargo and passenger load planning, ensuring safety and compliance during aircraft loading. In contrast, the Remote Flight Operations Coordinator manages overall flight schedules and coordination. While both roles require FAA knowledge and industry experience, their core responsibilities differ, with the Load Planner centered on cargo logistics and the Coordinator on flight operations management.

How to become a remote aircraft load planner?

To become a remote aircraft load planner, candidates typically need a high school diploma or equivalent, with some roles preferring post-secondary education or training in logistics, aviation, or related fields. Relevant skills include knowledge of weight and balance calculations, familiarity with load planning software, and strong organizational abilities; certifications such as FAA Loadmaster or related logistics credentials can enhance prospects. Experience in aviation or cargo handling is often required, and the role may involve working flexible hours or remotely depending on the employer.

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Remote Aircraft Load Planner jobs near you

Senior Backend Engineer - AI Platform

Salt Lake City, UT • On-site, Remote

eNett
See more jobs at eNettexternal

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Boston, MA; San Francisco Bay Area, CA; Dallas, TX; Salt Lake City, UT; Seattle, WA; and Portland, ME

About the Team/Role


We are seeking a seasoned Sr. Software Engineer in the North America Mobility organization. This role will sit in the Platform team that focuses on building AI Platform to support the feature development team to build robust features faster. You will contribute to the architecting and realization of our next-generation Agentic AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning, strategic planning, and the orchestration of intricate financial and operational workflows. Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX to deliver highly intelligent, proactive solutions to an expansive global user base.

Our Platform team is dedicated to architecting scalable, robust, and maintainable UI and API platform solutions that empower internal feature development teams to build at velocity. Within the NAM Mobility ecosystem, our products facilitate strategic credit issuance to fleet organizations and their workforce through WEX-branded or co-branded credit instruments, accepted across a vast network of fueling stations and merchant partners. We provide fleet managers and operators with advanced spend orchestration capabilities, encompassing fuel discounts and sophisticated spend controls that permit precise configuration of merchant restrictions, transaction limits, and velocity thresholds to optimize operational efficiency.


How you'll make an impact:

  • Design, develop, and maintain robust, scalable, and high-performance object oriented code in our backend services.
  • Develop public REST APIs using Java and internal gRPC APIs for inter-service and inter-system communication.
  • Craft systems designs, lead design decisions, and drive alignment with other senior engineers.
  • Write automated unit tests, integration tests, end-to-end tests, concurrency tests, load/performance tests.
  • Analyze existing systems to identify bottlenecks, tech debt, and implement scalability, and stability improvements.
  • Implement automation for testing, monitoring, healing, and scaling applications, continuous integration and deployment to reduce time to market.
  • Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features.
  • Conduct code reviews (comment, approve, seek revisions, merge), mentor junior and mid-level engineers, and actively promote engineering best practices.
  • Dive deep and troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability.
  • Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution.
  • Maintain robust documentation (design docs, run books, change management docs, and readiness plans).
  • Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement.
  • Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress.

Agentic AI & Intelligent Systems :

  • Design and build agentic AI systems and services, enabling autonomous workflows, reasoning, and task execution within Mobility platforms.
  • Develop AI agents from scratch, including orchestration, tool usage, memory, and multi-step decision-making capabilities.
  • Implement and scale multi-agent architectures to support complex, distributed use cases across payments and fleet ecosystems.
  • Integrate systems using Model Context Protocol (MCP) or similar frameworks to enable secure and scalable interaction between AI agents, APIs, and enterprise data sources.
  • Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade performance, reliability, and cost efficiency.
  • Implement evaluation frameworks, observability, and guardrails to ensure correctness, safety, and compliance of AI-driven systems.
  • Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness.

Experience you'll bring:

  • Bachelor's degree in Computer Science or Software Engineering
  • 5-8 years of professional experience in software engineering
  • Strong understanding of data structures and algorithms, object-oriented design, and problem-solving skills
  • Expertise in designing and developing internet-scale services with scalability, availability, security, and reliability design tenets
  • Excellent written and verbal communication skills, and a collaborative and empathetic mindset
  • Proficiency in backend development, with expertise in Java or C#, frameworks like SpringBoot, building and optimizing RESTful APIs, ODATA framework, and SQL


Agentic AI & MCP Experience:

  • Hands-on experience building or contributing to AI/LLM-powered applications or agent-based systems
  • Familiarity with agent frameworks, tool-use patterns, and orchestration of LLM workflows
  • Experience integrating AI systems with external tools/APIs using MCP or similar protocols
  • Understanding of prompt engineering, embeddings, and vector-based retrieval systems
  • Experience designing systems for scaling AI workloads in production environments

Preferred Qualifications

  • Master's degree in computer science or software engineering
  • 8+ years of experience in software engineering
  • Experience with Python, Java, event-driven architecture and tools like Kafka
  • Experience working on card payments
  • Familiarity with cloud-native architecture (containerization using tools such as Docker and Kubernetes)
  • Awareness of API security and PCI DSS compliance requirements
  • Ability to work on existing codebase, contribute improvements, and adapt to legacy systems' constraints

Nice to Have (AI Focus):

  • Experience building AI skills & deploying AI solutions to production environments
  • Experience building production-grade AI agents or copilots
  • Familiarity with multi-agent systems and distributed AI architectures
  • Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus)
  • Knowledge of AI evaluation techniques, safety practices, and responsible AI principles
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $121,500.00 - $145,500.00

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