Provable (Aleo) is hiring a Senior Data Platform Engineer in Engineering — Remote. The overview below is synthesized from the employer posting on jobs.ashbyhq.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
About Provable
Company context from the listing:
At Provable, our mission is to redefine trust and privacy in the digital world. By creating tools that simplify the complexities of zero-knowledge technology, we empower developers to build applications that prioritize security, user control and scalability.
The Role
Day-to-day scope for the Senior Data Platform Engineer as described in the posting:
Provable is seeking a Senior Data Platform Engineer to own and scale our data infrastructure, pipelines, and data-serving APIs on Google Cloud Platform (GCP). In this hybrid role, you will manage the end-to-end data lifecycle: ingestion from our Aleo L1 blockchain indexers, pipeline processing, and the APIs that serve this data to our mobile privacy wallets and blockchain explorer.
This position is roughly a 60/40 split between core data engineering (infrastructure, pipelines, indexing) and backend software engineering (API development and database optimization). The ideal candidate understands blockchain data structures and is eager to solve the unique challenges of indexing zero-knowledge, privacy-focused networks.
Responsibilities
Day-to-day scope for the Senior Data Platform Engineer as described in the posting:
- Design, implement, and maintain scalable and reliable data infrastructure in GCP.
- Build and optimize data pipelines fed by blockchain indexers to support our blockchain explorer, API, and analytics.
- Design data models that effectively handle the unique privacy and cryptographic constraints of Aleo’s zero-knowledge network architecture.
- Own, develop, and optimize APIs that serve data directly to our mobile privacy wallets and external products.
- Manage and optimize database technologies, with a focus on Postgres and BigQuery.
- Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting.
- Collaborate with product and engineering teams to understand requirements and deliver high-performance APIs.
- Identify opportunities to optimize the performance and cost of data platforms.
- Utilize infrastructure-as-code (Terraform and Helm) to deploy and manage data environments.
- Help define the technical vision and evolution of our data platform and architecture.
What We're Looking For
- 6+ years of experience in a Data Platform, Data Engineering, or Core Backend role managing production data systems at scale.
- Strong proficiency in Node.js / TypeScript for API development and Python for data scripting.
- Expert-level SQL and deep experience optimizing relational databases (Postgres) and cloud data warehouses (BigQuery).
- Proficiency with cloud infrastructure automation, specifically Terraform and Kubernetes (GKE).
- Excellent communication skills with a track record of taking end-to-end ownership of critical technical initiatives.
Bonus Points (Nice-to-Haves)
Additional experience noted as a plus:
- Experience with real-time streaming architectures and event-driven tools (such as Kafka, Debezium, Flink, Airflow, or dbt).
- Deep understanding of Web3 infrastructure, blockchain data structures, and ZK-rollups or privacy networks.
- Experience implementing monitoring and observability solutions (Prometheus, Grafana, or GCP native services).
Provable is committed to diversity in its workforce and is proud to be an equal-opportunity employer and to review all of our job postings to minimize biased language. Provable does not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state, or federal law.
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