6 months ago
Remote, WorldwideStaff+
Responsibilities
- Build and maintain infrastructure and tooling for training, evaluating, deploying, and monitoring ML models and GenAI services.
- Own production services, APIs, and pipelines supporting recommendations, agent workflows, and customer-facing integrations.
- Improve CI/CD, testing, release workflows, rollback processes, and environment management.
- Establish observability for service health, model behavior, agent quality, latency, cost, and failure modes.
- Build reproducibility and lifecycle practices for models, prompts, datasets, configurations, and releases.
- Support experimentation and measurement infrastructure for evaluating product and ML changes.
- Improve reliability, scalability, security, performance, and cost efficiency across the stack.
- Troubleshoot production issues end-to-end and convert recurring problems into durable engineering improvements.
- Help define platform and engineering standards as the company grows.
Requirements
- Strong software engineering background with experience building and operating production systems.
- Experience with backend services, cloud infrastructure, CI/CD, testing, observability, and automation.
- Strong Python skills and comfort working across services, tooling, infrastructure, and operational workflows.
- Good judgment regarding reliability, performance, maintainability, and cost tradeoffs.
- Ability to collaborate with ML and product teams and complete ambiguous work.
- Experience with MLOps workflows for model training, evaluation, deployment, and monitoring is advantageous.
- Experience serving ML models or LLM applications in production is advantageous.
- Experience with experimentation platforms, event pipelines, analytics instrumentation, or feature delivery platforms is advantageous.
- Experience with agent evaluation, prompt versioning, retrieval/search infrastructure, or vector-backed systems is advantageous.
- Experience supporting customer-facing APIs or SaaS platform infrastructure is advantageous.
Tech Stack
Categories
About Gamingtec
Gamingtec builds B2B iGaming software for online casino and sportsbook operators, offering turnkey and white-label platforms with PAM, affiliate management, CRM, and APIs. The London‑headquartered company, founded in 2013, licenses its technology to startups and established brands operating in regulated and emerging markets. Its modular infrastructure supports rapid launches and scaling across web and mobile, including casino content aggregation and sportsbook management.