Senior Software Engineer – Backend & ML Ops

About the role

We are looking for a Senior Software Engineer to join our growing engineering team. In this role, you will design and build distributed backend systems, lead critical API design decisions, and drive the deployment and operationalization of machine learning models in production. You will work at the intersection of platform infrastructure and application development, making a direct impact on product quality and engineering standards.

Key responsibilities

• Design, build, and maintain scalable backend services and APIs using Go.
• Deploy, manage, and monitor LLM and ML model workloads in production environments.
• Develop and operate Kubernetes‑based infrastructure, writing controllers, operators, and Helm charts as needed.
• Collaborate with product and platform teams to define API contracts and integration patterns.
• Lead technical discussions, conduct code reviews, and mentor junior engineers.
• Identify and resolve performance bottlenecks across services and infrastructure layers.

Required profile

• 5+ years of professional software engineering experience in backend or infrastructure roles.
• Strong proficiency in Go – idiomatic code, concurrency patterns, error handling, and testing.
• Solid understanding of Kubernetes – workloads, scheduling, networking, and cluster operations.
• Hands‑on experience deploying and serving LLM or ML models (e.g., vLLM, TorchServe, Triton, or similar).
• Proven track record designing and implementing RESTful APIs, including versioning, error contracts, and authentication.
• Comfortable working across the stack: cloud‑native services and distributed systems.

Required skills

• Go
• Kubernetes
• Helm
• vLLM
• TorchServe
• Triton
• RESTful API design
• Controllers and operators
• Cloud‑native services
• Distributed systems