System Analyst (Nova AI)

Development

Middle

Orion soft creates stable software for the IT infrastructure of Enterprise businesses.

Our products help automate and optimize processes, create secure infrastructure for critical information infrastructure (CII), build private clouds, and launch efficient ML/AI processes.

We are developing the Nova AI edition — a Kubernetes platform for ML/AI and launching LLMs within a company's network: work environments, experiments, inference, GPU management. The stack includes JupyterHub, Airflow, MLflow, S3, KServe, KubeRay. Currently, the tools have their own interfaces — the next step for the product is a unified UI for the entire lifecycle of ML and LLM models and platform expansion (model monitoring, Feature Store, model deployment). Our team is actively growing and looking for a System Analyst (Middle) for the Nova AI product.

• Collect and formalize requirements for the ML/AI platform: launching work environments, launching and deploying models;
• Describe user scenarios, interface specifications, and component interactions; participate in mock-up design with product, design, and engineering teams;
• Manage features throughout their lifecycle: from requirement definition to release handover, including technical documentation;
• Write BT (interviews with product owners and engineers, competitor analysis), develop FT and NFT, and create development tasks;
• Prepare and maintain ADRs for key decisions: component selection, integrations, interfaces, non-functional requirements;
• Participate in developing the target platform model: compare architectural options (model monitoring, model deployment);
• Analyze integrations with external services: monitoring, tracing, queues and brokers, secret storage;
• Describe user cases for individual ML stack tools for documentation

• At least 3 years of experience as a System Analyst in IT development;
• Ability to maintain documentation: from business requirements to detailed specifications and user scenarios;
• Knowledge of Agile principles and experience working in cross-functional teams;
• Readiness (and skill) to build a productive dialogue with clients and colleagues

It would be great if you have

• Familiarity with Kubernetes and Docker, understanding of GPU workloads (task scheduling, MIG / time-slicing, networking);
• Experience with MLOps stack: JupyterHub, MLflow, Airflow, KServe / Ray, model registry;
• Experience describing integrations: monitoring, tracing, queues, secrets, SSO/OIDC;
• Participation in UI design for platform products;
• Studied information security, import substitution, and operation within a closed environment

• Competitive salary commensurate with skills, transparent bonus system;
• Work in an accredited IT company;
• Hybrid work format — you can work remotely or in the office with the team;
• Courses and training from the corporate university, opportunities for external training and certification at the company's expense, regular internal meetups and knowledge sharing;
• Health care: we have voluntary medical insurance in top clinics with a full range of services (including dentistry and telemedicine) from the first working day, various sports programs in and out of the office;
• Comfortable and cozy office with parking, its own cafe and meal compensation, kitchens on each floor, a gym with shower facilities