Lumia- Senior Software Engineer
7/30/2025
Design and implement innovative solutions that blend AI, security, and high-performance distributed systems. Collaborate with a passionate team to solve cutting-edge challenges at scale.
Working Hours
40 hours/week
Company Size
51-200 employees
Language
English
Visa Sponsorship
No
Join a stealth-mode AI security startup backed by Team8, where you’ll be part of the founding engineering team solving cutting-edge challenges at scale.
Work in a fast-paced, dynamic environment, designing and implementing innovative solutions that blend AI, security, and high-performance distributed systems.
Collaborate with a tight-knit, passionate team where your ideas matter, your impact is huge, and every day brings something new.
If you’re looking for challenging problems, a fun and ambitious team, and the opportunity to shape a company from the ground up, we’d love to meet you!
Requirements
Qualifications:
- Experience: 5+ years of hands-on software development experience, preferably in Go (Golang).
- Microservices & Cloud: Strong background in designing, developing, and maintaining microservices architectures and cloud-native applications.
- Scalability & Performance: Experience working on high-scale, distributed systems with a focus on performance optimization and resilience.
- Containers & Infrastructure: Hands-on experience with Docker, Kubernetes, and containerized deployments.
- System Design: Strong understanding of object-oriented programming (OOP) principles and essential design patterns.
- Databases & Persistence: Proficiency with various data storage technologies, including SQL, NoSQL, and key-value (K/V) stores.
- Fast Learner & Adaptable: Ability to learn and absorb new technologies quickly in a fast-paced, dynamic environment.
- Ownership & Dedication: Self-motivated, detail-oriented, and committed to building high-quality software
- Fun & Positive Attitude: A great team player - someone who makes work enjoyable and contributes to a positive culture.
Advantage:
- AI & LLM Expertise: Experience with AI frameworks, LLMs, and their real-world applications, with an understanding of how people use, integrate, and interact with AI models. Familiarity with LLM optimization, deployment, and potential risks is a plus.
- Debugging & Optimization: Proven ability to debug, profile, and optimize complex distributed systems.
- Security & Compliance: Strong understanding of security best practices and compliance requirements for cloud-based systems.
- Event-Driven Architecture: Experience with event-driven and message-based architectures (e.g., Kafka, RabbitMQ, NATS, or similar).
- Application Communication: Hands-on experience with gRPC, REST APIs, WebSockets, or message queues for efficient service-to-service communication.
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