Remote Backend Engineer II - Data Platform

Lever, Inc.; United States; Remote; USD 120,000 - 130,000; Full time

Job summary

Vida is seeking a Backend Software Engineer II to help build the data platform that supports Vida's business. You will work on backend services and data-intensive systems, primarily in Python, taking features from design through production.

You will start with well-defined problems and grow toward owning services and technical decisions independently, collaborating with engineers across Product and Operations.

Qualifications

• Bachelor's degree required.
• 2+ years of backend software experience.
• Strong Python fundamentals.
• Experience with relational databases and SQL.
• Experience building data-processing systems.
• Understanding of testing, debugging, APIs, and distributed-system failures.
• Experience with cloud deployment.
• Ability to understand unfamiliar codebases and improve them.
• Clear written communication abilities.

Responsibilities

• Build backend services that ingest, validate, reconcile, and serve data from external partners.
• Develop systems for member identity, eligibility, billing, and other core domains.
• Design APIs, asynchronous workflows, and data pipelines.
• Make systems resilient to incomplete, duplicated, delayed data.
• Implement safe retry, replay, and recovery strategies.
• Improve reliability, observability, testing, and performance of production systems.
• Collaborate with Engineering, Product, and Operations on requirements.
• Take on additional responsibilities as needed.

Skills

Python

Relational databases

SQL

Data pipelines

Testing & debugging

Distributed systems

Cloud deployment

APIs

Strong communication

Education

Bachelor's degree

Tools

PostgreSQL

Airflow

Containers

Kubernetes

Job description

Vida is seeking a Backend Software Engineer II to help build the data platform that supports Vida's business. You will work on backend services and data-intensive systems, primarily in Python, taking features from design through production.

You will start with well-defined problems and grow toward owning services and technical decisions independently, collaborating with engineers across Product and Operations.