DevOps Engineer

Position Overview

Build scalable infrastructure for real-time maritime intelligence platform processing 40B+ AIS messages and 10TB+ satellite imagery monthly. Deploy ML inference pipelines, geospatial databases, and React frontend to handle enterprise maritime customers globally.

Responsibilities

• Deploy AIS Analytics pipelines.
• Architect PostGIS + TimescaleDB for 100M+ vessel position records.
• Implement CI/CD for React frontend, Python ML backend, and Docker containers.
• Build real-time streaming pipelines (AIS + CV detections frontend).
• Local monitoring (Prometheus/Grafana), secure air-gapped configs.
• Monitor system performance: <100ms vessel track queries, 99.9% uptime.

Requirements

• 3+ years Kubernetes (EKS/GKE/AKS) with autoscaling and multi-availability zones.
• Docker containerization for ML models, geospatial services, React apps- PostgreSQL/PostGIS optimization for geospatial workloads (GIST indexes, partitioning).
• GPU infrastructure: NVIDIA Docker, TensorRT, Triton Inference Server.
• CI/CD: Bitbucket/Gitlab/Github.
• Cloud platforms: AWS/GCP (SageMaker, ECS, RDS, EKS).

Preferred Experience

• Geospatial workload optimization (PostGIS, GeoServer, Tile38).
• ML model deployment at scale (Triton, KServe, Seldon Core).
• Real-time geospatial streaming (Kafka, Redis Geo, NATS).

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