Staff Software Engineer

πŸ•’ May 7

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Logo of Flowcode

Flowcode

WebsiteLinkedIn

51 - 200 employees

☁️ SaaS

SaaS β€’ Marketing β€’ Data Analytics

Flowcode is a comprehensive platform that specializes in creating seamless connections between offline and online experiences using QR codes. It offers a free QR code generator for various use cases, mobile-optimized landing pages, and powerful analytics tools that provide real-time data and metrics on audience activity. Flowcode's Enterprise platform includes tools like FlowID for tracking customer conversion history and APIs for integrating with different tech stacks. The platform serves a wide range of industries, including media, sports, and events, providing innovative ways to collect and utilize first-party data. Additionally, Flowcode offers solutions to improve marketing efforts, measure ROI, and enhance consumer engagement through personalized, data-driven interactions.

πŸ“‹ Description

β€’ Own critical systems end-to-end, including design, implementation and deployment, β€’ Hands on designing, building, and maintaining scalable features across a modern front-end framework and backend services. β€’ Architect for growth β€” help drive your pod’s technical roadmap and shepherd established engineering best practices. β€’ Collaborate across teams with product, design, and data to deliver measure, deliver and grows features quickly and iteratively. β€’ Mentor and guide senior engineers, raising the bar for technical execution and system design across teams. β€’ Balance ideal engineering with the realities of speed, customer needs, and startup resource constraints. β€’ Drive improvements in observability, performance, and incident response. β€’ Advocate for pragmatic solutions, solving the right problems with the appropriate level of complexity.

🎯 Requirements

β€’ 8+ years of experience building and operating production-grade systems, with a strong backend focus. β€’ Deep expertise in building high-performance, concurrent services. β€’ Proven experience designing and scaling distributed systems and service-oriented architectures. β€’ Strong understanding of API design, data modeling, and consistency tradeoffs Experience with cloud infrastructure (AWS, GCP, or similar) and modern deployment patterns (Docker, Kubernetes). β€’ Proficiency in several modern backend language (e.g., Go, Python, C#,, Java). β€’ Commitment to code quality, with solid grounding in design patterns, testing, and CI/CD. β€’ Strong grasp of scalability and performance, able to make informed tradeoffs between speed and correctness. β€’ Excellent communication skills and a collaborative mindset. β€’ A history of working with in 20+ person engineering organizations and collaborating with Product and Design to enable feature delivery at a reasonable velocity.

πŸ–οΈ Benefits

β€’ A builder’s mentality, comfortable taking initiative and owning outcomes from design through production

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