Senior Backend Engineer: Data & API Platform

BlackLine

Pleasanton (CA)

Hybrid

USD 210,000 - 263,000

Full time

14 days+

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Benefits offered by this job

Incentive programs
Benefits and wellness plans
Hybrid work model
Pay transparency

Job summary

BlackLine is seeking a Staff Software Engineer in Pleasanton to drive the design and development of scalable backend platform components and data integration services. You will lead, mentor, and deliver high-quality, secure data transfer connectors across ERP, Bank, and subledger systems.

The role emphasizes technical leadership, collaboration with product and architecture teams, and delivering automation-driven improvements in a hybrid, cloud-based environment.

Qualifications

  • 6+ years of professional experience in building Web scale SaaS with backend focus.
  • Experience leading design, architecture and code reviews of scalable distributed systems.
  • Proven ability to write high-concurrency, secure, scalable code and mentor others.

Responsibilities

  • Provide technical leadership in requirements analysis, design, development, testing and delivery of scalable backend services.
  • Lead technical design discussions and make trade-offs on technology, performance and extensibility.
  • Mentor engineers, perform peer code reviews, and drive quality and automation practices.

Skills

Backend engineering
Distributed systems
C#/Java/C++
SQL
No-SQL
Data modeling
Cloud-native
Agile
Leadership
Mentoring

Education

BS in Computer Science or equivalent

Tools

API gateway
Identity management
Kafka/RabbitMQ
Workflow orchestration
Job scheduling
Search

Job description

BlackLine is seeking a Staff Software Engineer in Pleasanton to drive the design and development of scalable backend platform components and data integration services. You will lead, mentor, and deliver high-quality, secure data transfer connectors across ERP, Bank, and subledger systems.

The role emphasizes technical leadership, collaboration with product and architecture teams, and delivering automation-driven improvements in a hybrid, cloud-based environment.

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