Staff Software Engineer- Data Platform

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Position Overview:

They will actively collaborate with team members and the wider Level AI engineering community to develop highly scalable and performant systems. They will be a technical thought leader who will help drive solving complex problems of today and the future by designing and building simple and elegant technical solutions. They will coach and mentor junior engineers and drive engineering best practices. They will actively collaborate with product managers and other stakeholders both inside and outside the team.

What you’ll get to do at Level AI (and more as we grow together):

• Design, develop, and evolve data pipelines

  that ingest and process high-volume data from multiple external and internal sources.
• Build

  scalable, fault-tolerant architectures for both batch and real-time data workflows

  using tools like GCP Pub/Sub, Kafka and Celery.
• Define and maintain robust data models with a

  focus on domain-oriented design

  , supporting both operational and analytical workloads.
• Architect and

  implement data lake/warehouse solutions using Postgres and Snowflake

  .
• Lead the design and deployment of

  workflow orchestration using Apache Airflow

  for end-to-end pipeline automation.
• Ensure platform reliability with

  strong monitoring, alerting, and observability

  for all data services and pipelines.
• Collaborate closely with Other

  internal product & engineering teams

  to align data platform capabilities with product and business needs.
• Own and enforce

  data quality, schema evolution, data contract practices, and governance standards.

• Provide

  technical leadership, mentor junior engineers

  , and contribute to cross-functional architectural decisions.

We'd love to explore more about you if you have

• 8+ years of experience

  building large-scale data systems

  ; preferably in high-ingestion, multi-source environments.

• Strong system design, debugging, and performance tuning skills

  .
• Strong programming skills in

  Python

  and

  Java

  .
• Deep understanding of

  SQL

  (Postgres, MySQL) and data modeling (star/snowflake schema, normalization/denormalization).
• Hands-on experience with

  streaming platforms

  like

  Kafka

  and

  GCP Pub/Sub

  .
• Expertise with

  Airflow

  or similar orchestration frameworks.
• Solid experience with

  Snowflake

  ,

  Postgres

  , and distributed storage design.
• Familiarity with

  Celery

  for asynchronous task processing.
• Comfortable working with

  ElasticSearch

  for data indexing and querying.
• Exposure to

  Redash

  ,

  Metabase

  , or similar BI/analytics tools.
• Proven experience deploying solutions on

  cloud platforms

  like

  GCP

  or

  AWS

  .

Compensation: We offer market-leading compensation, based on the skills and aptitude of the candidate.

Preferred Attributes-

Experience with data governance and lineage tools.

Demonstrated ability to handle scale, reliability, and incident response in data systems.

Excellent communication and stakeholder management skills.

Passion for mentoring and growing engineering talent.

To learn more visit : https://thelevel.ai/

Funding : https://www.crunchbase.com/organization/level-ai

LinkedIn : https://www.linkedin.com/company/level-ai/

Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s