Engineering Manager – SCM Planning (Product Engineering)

About the role

Avathon is seeking an Engineering Manager to lead the design and delivery of scalable data and AI platforms that power industrial intelligence solutions such as demand forecasting, supply planning and S&OP decision support. You will drive cloud‑native architectures, production‑grade pipelines and MLOps frameworks for customers in energy, mining, manufacturing and logistics.

Key responsibilities

• Build and lead an engineering team responsible for Avathon's data and AI platform infrastructure.
• Architect scalable industrial data platforms capable of handling high‑velocity IoT and telemetry streams.
• Design resilient real‑time and batch data pipelines for predictive maintenance, anomaly detection and optimization use cases.
• Establish MLOps frameworks to support continuous model training, deployment and monitoring.
• Partner with AI/ML, Product and Service Engineering teams to deliver production‑ready solutions.
• Ensure seamless production handoffs with strong documentation, observability and SLAs.
• Drive cloud infrastructure, DevOps best practices and security compliance standards.
• Scale engineering processes for multi‑customer deployments in regulated environments.

Required profile

• 8+ years of experience in software engineering, data engineering or AI platform engineering.
• 2+ years leading technical teams, preferably with onshore and offshore members.
• Experience designing cloud‑native data architectures on AWS, GCP or Azure.
• Strong background in distributed data processing (Spark, Databricks) and streaming technologies (Kafka, Kinesis, IoT Core).
• Proficiency with workflow orchestration tools such as Airflow, Dagster or Prefect.
• Hands‑on experience with containerization and orchestration (Docker, Kubernetes).
• Building and operating production MLOps systems, including CI/CD for ML, model registry and experiment tracking.
• Excellent cross‑functional communication and customer‑facing delivery experience.

Required skills

• Python
• Django
• Spark
• Databricks
• Kafka
• Kinesis
• IoT Core
• Airflow
• Dagster
• Prefect
• Docker
• Kubernetes
• AWS / GCP / Azure
• CI/CD (Travis CI, Jenkins)
• React
• MLOps (model registry, experiment tracking, drift detection)