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Sr. Engineer - Risk Platform (Remote, IRE)
Sr. Engineer - Risk Platform (Remote, IRE)
What you'll be doing
Design and develop scalable backend services powering both internal and customer-facing web applications with focus on performance and reliability
Create intuitive command-line utilities and APIs that integrate seamlessly with the platform ecosystem
Architect supporting systems including databases, real-time data pipelines, and monitoring solutions
Partner with UX/UI, Sensors, and other teams to deliver integrated solutions with comprehensive documentation
Configure advanced monitoring, alerting, and maintain high availability for production services
Drive architectural improvements, optimize performance, and enhance user experience through iterative refinement
Guide junior engineers and contribute to technical decision-making processes
Ensure robust, healthy service operations with proactive maintenance and incident response capabilities
Requirements
8-10 years of production experience building, delivering, and maintaining large-scale distributed systems processing high-volume data
Advanced programming expertise in object-oriented languages with strong typing (primarily Golang and Python)
Proven microservices experience with designing scalable REST APIs and distributed communication patterns
Strong cloud infrastructure knowledge with major providers (AWS preferred, plus Azure and GCP)
Solid distributed systems understanding including concurrency, parallel processing, and scalability patterns
Message queue proficiency, particularly Kafka
Experience utilizing AI technologies to enhance decision-making and drive business outcomes
Database versatility across RDBMS/SQL (PostgreSQL preferred) and distributed caching solutions like Redis
System troubleshooting expertise for complex distributed architectures focused on performance and reliability
Engineering best practices experience including testing strategies, code reviews, and resilient architecture design
Collaborative technical skills with ability to mentor junior engineers and contribute to technical decisions
Bachelor's degree in Computer Science/Engineering or equivalent professional experience
Strong foundation in algorithms, data structures, and system design principles
Nice to haves
Machine learning or AI implementation experience
Elasticsearch expertise for full-text search of logs and event data
Cassandra and CQL experience with wide-column databases
Graph database knowledge and experience with graph structures
Cybersecurity industry experience or relevant certifications
Docker and Kubernetes experience
Open source contributions or technical community involvement
Perks and benefits
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
AI Summary ✨
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