Senior Software Platform Engineer – Observability

Company:

At Arrive AI (Nasdaq: ARAI), we're not just building products—we're transforming the future of the Autonomous Last Mile (ALM). Over a decade ago, we started with a pioneering vision and patents for the first smart mailbox for drone delivery. Through systematic research, development, and deep customer collaboration, we've evolved to today where we deploy Arrive Points—a type of smart locker and mini-cross-docks for frictionless drone, robotic, and courier delivery and pickup, utilized from medical supplies to meals to e-commerce. Arrive AI is now growing and investing to scale an ALM network and platform of the future for all autonomous delivery providers, services, and customers. Arrive AI is the intelligent choice for the last inch of the Autonomous Last Mile.

About Us:

We move fast, balancing strategy with opportunity. We are merit-based, valuing integrity, innovation, and treating others as we want to be treated. At Arrive AI, every employee is an equity holder and a business owner. Our shared vision, ownership, and culture fuel our mission to revolutionize autonomous delivery.

Product Team

You'll be joining Arrive AI's Product Team to revolutionize Autonomous Last Mile (ALM) logistics by transforming over a decade of research, design, and customer collaboration into the world's first autonomous logistics network and platform. Our fast-paced skunkworks team rapidly iterates, prototypes, and develops next-generation Arrive Point units, networks, and AI-powered platforms. By integrating cutting-edge hardware, robotics, IoT, software, data, AI, and manufacturing, we're driving a bold roadmap for ALM innovation. Based in Fishers, IN, we offer a unique opportunity to do your life's best work, shape the future, and share in the success.

The Role:

We are seeking a highly skilled Senior Software Platform Engineer with deep expertise in cloud-native architectures, observability, and autonomous system reliability. This role blends DevOps engineering, distributed systems design, and observability innovation—focused on building, scaling, and monitoring complex service-based architectures on Microsoft Azure.

You will architect high-availability systems that connect cloud microservices, IoT networks, and robotic edge devices, creating the telemetry backbone that drives insight and reliability across our platform. The role requires mastery of OpenTelemetry, container orchestration, and event-driven design, along with a creative drive to develop custom observability solutions for embedded and robotics systems.

Responsibilities

• Architect, deploy, and maintain large-scale, service-oriented platforms on Azure.
• Design and manage containerized microservices using Docker and Kubernetes, emphasizing scalability and resilience.
• Implement event-driven architectures using message brokers, Pub/Sub, and streaming services (Kafka, RabbitMQ, Azure Service Bus).
• Build and evolve observability frameworks leveraging OpenTelemetry, Prometheus, and Grafana to unify logs, metrics, and traces across cloud, IoT, and embedded environments.
• Develop custom telemetry and monitoring solutions for embedded systems, robotics, and machine-to-machine (M2M) networks.
• Integrate Feature Flagging and real-time SLA/SLO tracking into observability pipelines to ensure measurable reliability and controlled rollouts.
• Establish and refine CI/CD pipelines and automated testing to support continuous delivery and deployment safety.
• Collaborate cross-functionally with software, AI/ML, and robotics teams to embed observability, monitoring, and feedback loops at every layer of the stack.
• Drive incident response automation and lead post-incident analysis to improve system reliability over time.
• Mentor engineers on DevOps best practices, telemetry instrumentation, and data-driven platform operations.

Why Join Us?

• Shape the observability backbone of a distributed robotics and IoT platform that spans cloud and edge.
• Work with advanced systems combining Azure, Kubernetes, OpenTelemetry, and NVIDIA DGX Cloud.
• Collaborate with a multidisciplinary team uniting DevOps, AI/ML, and robotics engineering.
• Join a culture that values automation, insight, and engineering excellence.

Requirements:

What We're Looking For:

Required Qualifications

• 7+ years in software engineering with a strong focus on cloud platform engineering and DevOps.
• Expert understanding of Microsoft Azure cloud services, including compute, networking, and monitoring.
• Deep experience with containerization (Docker) and orchestration (Kubernetes) at scale.
• Proven success implementing microservice architectures, service meshes, and event-driven systems.
• Strong knowledge of message brokers and streaming pipelines (Kafka, RabbitMQ, Azure Service Bus).
• Hands-on experience with OpenTelemetry, Prometheus, Grafana, and SLO/SLA instrumentation.
• Proficiency with CI/CD automation, scripting (Python, Bash, PowerShell), and infrastructure observability.
• Solid grounding in scaling strategies, distributed system reliability, and Feature Flag-driven release practices.

Preferred Qualifications

• Experience developing custom OpenTelemetry instrumentation for IoT, M2M, or robotic systems.
• Familiarity with edge observability, telemetry aggregation, and real-time diagnostics for autonomous devices.
• Background in IoT networking, M2M communication, and protocols such as MQTT.
• Familiarity with infrastructure as code tools (Terraform, Bicep, Pulumi, or ARM templates).
• Experience with observability stacks (Prometheus, Grafana, Azure Monitor, ELK/EFK).
• Hands-on experience with NVIDIA NIM microservices and deploying workloads on NVIDIA DGX Cloud.
• Prior leadership in incident response, Feature Flag governance, and SRE/SLO management.

Additional:

• Expect to travel up to 5 days per month.
• Responsibilities include all other duties as assigned.

Compensation:

• Salary is market competitive in high equity incentive - be an owner and Grow with Arrive AI