Engineering Lead, Platform
Pleasanton · Pleasanton, CA (HQ) · USD 160,000-220,000 / year · 3+ years experience · Remote · Posted Oct 19, 2026
At a glance
- Experience
- 3+ years experience
- Workplace
- Remote
- Location
- Pleasanton · Pleasanton, CA (HQ)
- Salary
- USD 160,000-220,000 / year
About the role
- Avathon is hiring an Engineering Lead to build the core of the platform, leading the team responsible for data ingestion, the landing zone and data lake, the ontology and Computational Knowledge Graph, and backend services.
- This is a hands-on lead role in Product Engineering where you will write code, own the architecture, and lead a team of engineers.
Responsibilities
- Own the architecture for data ingestion, including Avathon Data Ingest (ADI) at the edge and reusable connectors for OT protocols and IT systems.
- Build the landing zone and Bronze/Silver/Gold processing that turns raw data into clean, governed data.
- Set standards for data quality, freshness, lineage and access control across the platform.
- Own the services that map raw data into the ontology and Computational Knowledge Graph.
- Make the graph fast and reliable at industrial scale, and give applications clean APIs to query it.
- Work with the Model Hub and agent teams so models and AI agents can read from and act on the graph safely.
- Lead and grow a team of platform engineers; set priorities, review designs and code, and mentor.
- Partner with the Platform product manager on roadmap, scope and release planning.
- Work with cloud operations and security on multi-tenant, single-tenant, on-premise and edge deployments.
- Own quality, performance and reliability of platform services.
Requirements
- 8+ years of software engineering experience, including 3+ years leading engineers.
- Built data or AI platforms used by other teams.
- Strong backend and distributed systems skills in Python, Java, Go or Scala.
- Experience with data pipelines, streaming, lakehouse architectures and large-scale storage.
- Experience with Kubernetes and cloud platforms.
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
Preferred qualifications
- Experience with ontologies, knowledge graphs or graph databases is a strong plus.
- Experience with industrial data or edge deployments is a strong plus.
Workplace
- This role is not remote.
- Candidates must be based in the Bay Area, CA.
- Expected to report to the Pleasanton office 5 days a week.
Skills
- Python
- Java
- Go
- Scala
- Kafka
- Kubernetes
- GCP
- AWS
- Azure
- OPC-UA
- DNP3
- MQTT
Show all 14 skills
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