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
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