Staff Backend Software Engineer (AI)

TL;DR

Staff Backend Software Engineer (AI): Leading the technical vision, design, and implementation of a high-scale, real-time Clickstream Data Platform that serves as the backbone for real-time analytics, personalization, and AI/ML model training across the company with an accent on driving engineering excellence and ensuring the platform meets uncompromising standards. Focus on system architecture & design of highly scalable, fault-tolerant, and low-latency backend microservices and data pipelines.

Location: Mountain View, California

Salary: $ 197,000- 266,500

Company

hirify.global is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

• Define and drive the multi-year technical roadmap and architecture for the Clickstream Platform, aligning with business and data strategy.
• Lead the design and implementation of highly scalable, fault-tolerant, and low-latency backend microservices and data pipelines for event ingestion, processing, storage, and serving.
• Drive the development of core platform capabilities, including schema evolution, real-time data validation, data governance, and secure, high-performance APIs for accessing clickstream data.
• Establish and enforce best practices for platform observability (monitoring, logging, tracing), automated testing, disaster recovery, and continuous delivery (CI/CD) in a cloud-native environment.
• Act as a technical leader, mentoring senior and principal engineers, conducting architecture reviews, and raising the overall technical bar for the engineering organization.
• Partner with Data Scientists, Product Managers, and Frontend/Data Engineering teams to translate complex business requirements into robust, scalable technical solutions.

Requirements

• Master's degree or Bachelor’s degree with 10+ years of CS, CE, ML or related field experience or equivalent practical experience.
• 10+ years experience of software development working in large-scale distributed technology environments.
• Strong analytical, strategic thinking, problem-solving, and communication skills.
• End-to-end hands-on experience in building large scale data processing systems, large scale machine learning systems, and big data/cloud technologies (e.g. AWS, Google Cloud, Azure).
• Knowledge of building AI native applications

Nice to have

• Proven track record of innovating and influencing to provide novel and effective solutions to difficult software engineering problems
• Demonstrated entrepreneurial perspective in ideation and implementation
• Experience building web analytics solutions, tracking libraries is a strong plus

Culture & Benefits

• Competitive compensation package with a strong pay for performance rewards approach.
• Eligible for a cash bonus, equity rewards and benefits, in accordance with applicable plans and programs.