Lead Software Engineer & AI Architect
Indexed description
This is a hands-on role where you will combine strong software architecture leadership with practical AI implementation to reduce manual support, significantly increase automation and keep our factories secure.
What You’ll Do
- Influence technical direction, architecture decisions, code quality, security, and pull request reviews
- Lead the redesign and modernization of existing systems from monoliths toward scalable, distributed architectures
- Design and build production-grade agentic AI solutions using LLMs (local + cloud), RAG, and intelligent automation
- Integrate AI into current workflows, monitoring, and factory systems
- Continuously drive improvement with new ideas and concepts
- Mentor and upskill junior and mid-level engineers
- Deliver secure, high-performance, and observable solutions with clear business impact
- Design and implement CI/CD
- Lead observability strategy and implementation (metrics, tracing, alerting)
- Whatever else you find interesting and have bandwidth to help with
- 10+ years of strong software engineering experience with excellent architecture and system design skills
- Proven ability to redesign and modernize complex, mission-critical systems
- Strong applied AI expertise: building production agentic systems, MCP, RAG pipelines, and integrating local + cloud LLMs
- Deep hands-on proficiency in .NET/C#, SQL & NoSQL databases, and Kubernetes/distributed systems
- Experience with TCP, UDP, QUIC + HTTP/3, gRPC, DNS, load balancing, service discovery, NAT traversal
- Strong focus on code quality, security, performance, and mentoring
- Strong understanding of network data transfer optimization, load balancing, connection management, multiplexing, and flow/congestion control
- Experience with distributed storage systems (e.g. CEPH)
- Strong experience working with encrypted data, including secure data transfer between systems, while ensuring data consistency, transactional integrity, and atomicity
Our Stack
Linux (Ubuntu), Kubernetes, Azure Cloud, .NET/C#/C++/Rust, Azure DevOps, Kafka, Grafana/Prometheus, Ansible ,Python, MS SQL, PostgreSQL, Cosmos DB, Windows Server, PowerShell , and various internal tools. We are actively expanding our use of modern AI tooling.
Nice-to-Haves
Experience in enterprise/industrial/manufacturing environments, open-source contributions, or large-scale observability/automation projects. RUST/JAVA/GO/
This role combines deep technical leadership, AI innovation, and hands-on development. You’ll directly shape the future of our global PC manufacturing backbone while growing a strong engineering team.
If you’re a pragmatic architect who loves building reliable, intelligent systems and mentoring others, we want to talk. 🚀
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