Staff Software Engineer

Job Description

We are looking for a highly skilled Staff Software Engineer to join our team and drive the development of cutting-edge applications to drive our Occupier solutions business.

You will play a technical leadership role, influencing both strategy and execution while mentoring engineers and collaborating with cross-functional teams to build next-generation Occupier solutions, AI-driven data platforms, and computing infrastructure that ensures high availability, security, and consistency.

This role requires deep expertise in building cloud native applications, distributed systems, cloud infrastructure, and AI/ML workloads to deliver reliable, intelligent, and high-performing platforms at scale.

Key Responsibilities

• Architect & Build: Design and develop scalable, fault-tolerant, and highly available applications.
• AI-Driven Automation: Implement AI-powered workflows that help our brokers streamline their work
• Security & Compliance: Ensure adherence to data security, privacy regulations (GDPR, CCPA, PCI-DSS), and financial compliance standards.
• Cross-Functional Leadership: Partner with engineering, product, risk, and compliance teams to drive innovation in transactional and AI-powered systems.
• Mentorship & Code Excellence: Provide technical mentorship and uphold high engineering standards through code reviews, system design discussions, and best practices.
• DevOps Thought Leadership: Demonstrates DevOps thought leadership by driving best practices, fostering a culture of collaboration, and continuously improving CI/CD pipelines and infrastructure automation.
• Build vs Buy: Exhibits strategic decision-making in Build vs Buy scenarios by evaluating technical feasibility, cost, time-to-market, and long-term scalability to align with business objectives.

 

Basic Qualifications

• 15+ years of experience in software engineering, distributed systems, and application development.
• Deep expertise in transactional database architectures (SQL, NoSQL, NewSQL), ACID principles, and event-driven processing.
• Strong coding skills in Python, C#, or Go with expertise in distributed computing, microservices, and containerized architectures (Kubernetes, Docker).
• Strong understanding of MLOps, data pipelines (Kafka, Spark, Flink), and cloud-native AI/ML deployment (AWS, GCP, Azure).