Responsibilities Make an impact Design end-to-end technical architectures for warehouse automation systems, including real-time control, monitoring, and integration with robotics, logistics platforms and across hybrid and multi-cloud platforms (Azure, GCP, AWS). Define and drive architectural design patterns and best practices across engineering teams both regionally and globally for containerized microservices that are event-driven and distributed computing-based systems. Review, refine, and challenge engineering designs and implementation choices to ensure maintainability, scalability, and performance. Contribute directly to the codebase, developing key components and setting examples for clean, efficient code in multiple languages (Java, C#, Python, Rust, and various others as part of our solution set and DevOps pipelines). Prototype and test critical system components and new features during early-stage development. Leverage CoPilot, GPT-based tools, and Agentic development platforms to accelerate design, development, and creation/documentation of our solutions to improve overall SDLC and PDLC processes. Build and orchestrate custom AI development of agents and tools to assist engineering workflows, such as automated code generation, test generation, refactoring, porting, and design scaffolding. Collaborate with software managers, engineers, QA, DevOps, product managers, and robotics/hardware teams to deliver integrated solutions. Mentor engineers in architectural thinking and effective use of AI-assisted development. Ensure architectural alignment across robotics, controls, warehouse management systems, and IoT platforms with observability emphasis using tools like Prometheus, Grafana, ELK Stack, and other platforms. Participate in the designs and improvements or the cyber-security standards for software systems to comply with ISO 27001, GxP, and other certifications. Application Requirements What you need to succeed Bachelor or Master’s degree in Computer Science, Software Engineering, or related field. 8+ years of software engineering experience, with at least 3 years in an architectural or staff engineering role. Expert-level proficiency in Java and modern development practices (CI/CD, microservices, REST/gRPC, etc.). Mid-level proficiency in at least one additional language C#, Python, or Rust. Deep understanding of distributed systems, message queues (Kafka, RabitMQ) and real-time processing. Demonstrated experience building enterprise-grade automation, robotics, or warehouse logistics systems. Hands-on experience with CoPilot, GPT-based tools, or AI Agent development platforms. Detail oriented individual with excellent communication skills and the ability to influence technical decisions across teams. Experience in container platforms utilizing Docker, Kubernetes, or other container-based systems used within cloud/hybrid infrastructure. Database experience with at least one platform (PostgreSQL, SQL Server, MySQL, or Oracle). Familiarity with DevOps, SRE, and Agile delivery frameworks.   Desirable: Familiarity with Agentic AI paradigms, e.g. building tool-using goal-seeking agents with frameworks like LangChain, AutoGen, or OpenAgents. Strong interest in improving engineering velocity through automation and AI augmentation. Certifications in AWS/Azure architecture, TOGAF and other key areas supporting warehouse automation.