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.
