Senior Software Architect
Where do people love what they do, and being great at what they do?
At Swisslog, that’s where! Our teams are the heart of a world-leading Robotics company that’s harnessing the power of technology to shape the future of intralogistics. The result? We’re transforming performance and efficiency for customers across the globe, giving them the vital edge in their markets. We are looking for a forward-thinking Senior Software Architect to lead the design of intelligent automation solutions in a high-impact warehouse automation environment. This role blends hands-on software development in multiple languages (Java, C#, Python, Rust), system design, and technical leadership with the exploration and implementation of next-generation AI development of agents and automation utilizing GitHub CoPilot, Agentic AI platforms, and other AI tools. As a key member of our engineering team, you will define architectural standards, evaluate new technologies, and ensure the robustness and scalability of our software and system-based solutions that enable high-performance industrial warehouse environments for all industry sectors. Additionally, this is all accomplished while actively developing designs/coding and mentoring others through design sessions, participating in global/regional communities of practice and solution development. 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.
Application Requirements What you need to succeed
- 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.
Additional Skills as a Plus:
- 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.
