Data Platform & Data Engineering (Senior/Lead/Principal)

Airkit

Airkit

Software Engineering, Data Science
San Francisco, CA, USA
Posted on Mar 4, 2026

Description

Note: By applying to the Software Engineering posting, recruiters and hiring managers across the organization hiring Software Engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.

Data Engineering & Observability Team

Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments.

Data Cloud. Big Data Computer platform team.

Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models.

Required Skills:

  • Related technical degree required

  • Strong understanding of distributed systems design, including scalability, fault tolerance, and consistency trade-offs in large-scale data platforms

  • 7+ years of backend software development experience building large-scale distributed systems

  • Strong programming skills: Java (strongly preferred); Python or Rust are strong pluses

  • Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data systems Experience with big data and data platform technologies such as Spark, Flink, Kafka, Trino, HBase, or similar

  • Strong experience with public cloud platforms, especially AWS or GCP Strong experience with Kubernetes and container orchestration

  • Experience operating data platforms or infrastructure services at enterprise scale

  • Experience owning and operating multiple instances of mission-critical services

  • Experience building or operating observability systems, telemetry pipelines, or monitoring platforms

  • Experience using metrics, logging, and telemetry to drive operational excellence Experience with Agile development and Test Driven Development

Benefits & Perks

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

Salesforce Information

Check out our Salesforce Engineering Site.

*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.