Staff Software Engineer - Variable Compensation

Responsibilities

• Architect, design, develop, and maintain internet-scale distributed systems and scalable services for the HRIS platform.
• Participate actively in coding and code reviews using Python, Golang, and Java.
• Provide technical leadership, establish engineering best practices, and guide adoption of advanced technologies.
• Mentor engineers and foster continuous learning, collaboration, and technical excellence.
• Design systems capable of handling millions of concurrent users with high performance, reliability, and scalability.
• Build modular abstraction APIs, programmatic APIs, and Backend for Frontend (BFF) systems.
• Design analytical and transactional storage systems capable of handling petabyte-scale workloads.
• Develop highly available and reliable systems targeting 99.99% or 99.999% uptime.
• Implement monitoring, logging, tracing, and other observability practices.
• Build and integrate streaming and workflow systems for transactional and analytical workflows.
• Collaborate with product management, data science, and operations teams.
• Drive innovation and continuous improvement.
• Maintain documentation and standards for architecture, design, and operational processes.

Requirements

• 9+ years of software engineering experience, with significant experience building large-scale distributed systems and scalable services.
• Proficiency in Python, Golang, and Java.
• Deep understanding of distributed computing, data architecture, and scalable system design.
• Demonstrated technical leadership and experience mentoring and developing engineers.
• Experience building systems handling millions of users in parallel.
• Strong understanding of SLAs, resiliency, and observability.
• Expertise designing modular abstraction APIs, programmatic APIs, and BFF systems.
• Experience with analytical storage systems such as Presto, S3, and Snowflake.
• Experience with transactional storage systems such as MySQL, Aurora, and MongoDB.
• Experience with public cloud platforms and streaming technologies.
• Understanding of transactional and analytical workflow systems.
• Excellent verbal and written communication skills.
• Experience integrating AI-assisted workflows such as Claude and Cursor into software development.
• Ability to navigate large, complex codebases and independently solve ambiguous or evolving requirements.

Benefits

• Opportunity to work on high-impact financial infrastructure at the intersection of finance, risk, compliance, KYC, accounting, and artificial intelligence.
• Opportunity to develop deep financial-domain expertise while building robust, scalable systems.