Engineering Manager (SCM Planning) - Product Engineering at Avathon Government

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Oct, 26

Salary

0.0

Posted On

12 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI Platform Engineering, Cloud-Native Architecture, MLOps, Python, Django, Spark, Databricks, Kafka, Kubernetes, Docker, Airflow, React, CI/CD, Distributed Data Processing, Team Leadership

Industry

Software Development

Description

Who We Are & Why Join Us 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. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale. 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. Learn more at: avathon.com Engineering Manager – SCM Planning Work Location: Bangalore Five Days onsite About the Role As an Engineering Manager – SCM Planning at Avathon, you will lead the design and delivery of scalable data infrastructure and AI platforms powering industrial intelligence solutions in the areas of demand forecasting, supply planning, inventory & Manufacturing and S&OP decision support for customers across energy, mining, manufacturing, and logistics. You will drive cloud-native architectures, production-grade data pipelines, and AI-ready systems that enable advanced analytics and Generative AI applications. Partnering with Engineering, Product, and Applied Science teams, you will translate complex industrial challenges into secure, scalable technology solutions while shaping Avathon's platform engineering strategy. With 8+ years of experience including team leadership, you will build and grow a high-performing engineering team across onshore and offshore locations. You Will 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 You'll Have 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) Streaming technologies (Kafka, Kinesis, IoT Core) Workflow orchestration (Airflow, Dagster, Prefect) 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 Preferred Qualifications 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 Interview Process As part of the interview process, you will be asked to complete a technical case study assessment. Expect atleast 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.

Responsibilities

Lead the design and delivery of scalable data infrastructure and AI platforms for industrial SCM planning and decision support. Build and manage a high-performing engineering team to implement cloud-native architectures and production-grade data pipelines.