Staff Software Engineer - Data AI Agent

Lever, Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
C Sharp (Programming Language)
C++
Cloud Computing
Databases
Continuous Integration
Data Files
ETL
Database Queries
Desktop Computing
Distributed Systems
Python
PostgreSQL
Online Analytical Processing
Online Transaction Processing
Standard Sql
Scala
Google Cloud Platform
Snowflake
Kubernetes
Information Technology
Performance Monitor
Kafka
GraphQL
Web Technologies
Data Pipelines
Docker
Databricks
Go

Requirements

  • BS/BTech (or higher) in Computer Science, Engineering or a related field required.
  • 8+ years of production-level experience as an engineer building highly scalable systems.
  • 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
  • 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
  • Experience architecting, developing, and deploying large-scale distributed systems at scale.
  • Experience with cloud technologies, e.g., AWS, Azure, GCP.
  • Experience building continuous integration and continuous development (CI/CD) pipelines.
  • Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).

Preferred KSAs:

  • 8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure.
  • Experience in designing, building and optimizing data pipelines and ETL processes.
  • Proficiency in working with both OLTP and OLAP database technologies (Postgres, Snowflake, Databricks.
  • Experience with data modeling (bonus points for dbt experience).
  • Experience building AI agents is a big plus (MCP tools, evals, feedback loop).
  • Experience building and maintaining APIs (REST, GraphQL).
  • Ability to drive projects and bring the team along - shaping work for other engineers is key.
  • Familiarity with replication and pub-sub technologies (Kafka).
  • Experience in performance monitoring and optimization of infrastructure (calibrating Kubernetes resources).
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience building continuous integration and continuous deployment (CI/CD) pipelines.
  • Experience with security and systems that handle sensitive data., * Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

Benefits & conditions

  • Identify and develop scalable and performant solutions.
  • Work across discipline to shape product strategy and execution.
  • Develop the foundations of code architecture and quality.
  • Mentor and coach engineers.
  • Set and uphold the standard for engineering processes to support high-quality engineering.

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