Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries (energy, mining, manufacturing, aerospace, defense, and logistics) accelerate the journey toward autonomous operations. Its platform, built on a Computational Knowledge Graph foundation, contextualizes and connects operational data across siloed systems to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. As an Engineering Manager – SCM Planning, you will lead the design and delivery of scalable data infrastructure and AI platforms for demand forecasting, supply planning, inventory, manufacturing, and S&OP decision support, driving cloud-native architectures and production-grade data pipelines while shaping Avathon’s platform engineering strategy.
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 that power 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 to customers
- 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 and government environments
Requirements
- 8+ years of experience in software engineering, data engineering, or AI platform engineering
- 2+ years leading technical teams (onshore + offshore preferred)
- Experience designing cloud-native data architectures across AWS, GCP, or Azure
- Strong experience with Distributed data processing (Spark, Databricks)
- Strong experience with Streaming technologies (Kafka, Kinesis, IoT Core)
- Strong experience with Workflow orchestration (Airflow, Dagster, Prefect)
- Strong experience with Containerization and orchestration (Docker, Kubernetes)
- Experience building and operating production MLOps systems including CI/CD for ML, model registry, experiment tracking, and drift detection
- Strong programming expertise in Python and Django
- Familiarity with React frontend development
- Experience with CI/CD pipelines (Travis CI, Jenkins)
- Experience working with large-scale time-series or industrial telemetry data
- Solid understanding of system reliability, fault tolerance, and high-availability architectures
- Experience managing projects with customer-facing delivery components
- Excellent cross-functional communication skills
Nice to have
- Experience in SCM Planning, industrial AI, manufacturing, energy, utilities, or government sectors
- Exposure to edge computing architectures and data ingestion from industrial systems (OPC UA, Modbus, Ignition, PI Historian)
- Experience working with secure or regulated cloud environments, including on-prem and air-gapped deployments
- Familiarity with data governance and compliance frameworks
- Understanding of predictive maintenance or asset performance use cases
- Experience with LLM observability and evaluation tooling in production environments
- Knowledge of graph databases or knowledge graph platforms
Benefits
- Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future
- High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm
- Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives
Additional details
- Work Location: Bangalore
- Five Days onsite
- As part of the interview process, you will be asked to complete a technical case study assessment. Expect at least two-three rounds of Technical interviewing rounds and one onsite round.
- Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
- Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
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