Jobs at Metasys

Build and maintain automated infrastructure and CI/CD pipelines using Terraform, Docker, Traefik, and Makefile. Implement observability (Prometheus, Grafana, Loki, Tempo, OpenTelemetry), backups (pgBackRest/Postgres15), and cloud/Linux administration. Automate deployment and monitoring for AI agent services and support monorepo workflow with SRE and DevSecOps teams.

Design and govern a multi-tenant cloud infrastructure (AWS/GCP/Azure) for an e-commerce platform. Optimize capacity and costs for fluctuating traffic and AI agent compute, implement multi-region HA/DR for PostgreSQL 15 and Redis, enforce Terraform IaC governance, ensure cloud security and data residency compliance, and integrate containerized apps (Docker/Traefik) with monitoring (Prometheus, OpenTelemetry).

Support design, development, and maintenance of data pipelines and infrastructure. Assist with ETL/ELT workflows, data ingestion, cleaning, validation, modeling, and warehousing. Document processes and collaborate with data teams to support analytics use cases.

Work as an embedded QA automation engineer to design, build, and maintain end-to-end and API test suites, integrate tests into CI/CD, run performance/load tests against a NestJS monolith, manage test data, and validate AI agent behavior and integrations across OMS/WMS/catalog workflows.

Support data-driven decision-making by collecting, cleaning, and analyzing structured and unstructured data, performing EDA, assisting in building and validating ML and statistical models, creating visualizations and dashboards, documenting findings, and collaborating with cross-functional teams.

Design, build, and deploy autonomous AI agents using LLMs and agent frameworks; integrate agents into e-commerce and supply chain systems; implement multi-agent orchestration, memory and tool integrations; fine-tune models and apply RL concepts; and build safety, monitoring, and MLOps pipelines.

Develop, scale, and maintain core backend APIs within a TypeScript/NestJS monolith for supply chain modules (OMS, WMS, MES). Implement secure payment and logistics integrations, caching with Redis, async/event-driven workflows, and observability (OpenTelemetry, Prometheus, Loki). Support AI agent orchestration and ensure transactional integrity using PostgreSQL.

Design and govern end-to-end data architecture for an integrated supply-chain e-commerce platform: create data models, build scalable ETL/ELT pipelines, ensure GDPR-compliant data governance, enable real-time analytics, optimize databases, plan retention/archival, and prepare data for LLM fine-tuning and RAG use cases.