Full-Time Senior Software Engineer II

With our growing customer base and expansion into new markets, we have more to build than ever at Affinity. As a Senior Software Engineer II, you'll evolve spreadsheet-like interfaces, critical for user data management and visualization. Data modeling needs to be highly flexible to support unique use cases.

Key responsibilities include:

• Deep expertise in product areas (Analytics, Notifications, Automation).
• Lead technical design for critical initiatives.
• Active code contribution during execution phases.
• Ensure architectural consistency, adaptability, and extensibility.
• Collaborate across teams to coordinate changes and manage data models.
• Research and propose new technologies/architectures.
• Mentor other engineers for individual and team growth.
• Promote operational excellence with focus on reliability, performance, and scalability.
• Work across the entire stack, focusing on backend development.

Qualifications:

• 7+ years of software engineering experience.
• 2+ years of experience leading teams delivering end-to-end systems.
• Troubleshooting across network, application, caching, queuing, load-balancing, storage, and distributed services.
• Expert in one or more OOP languages and modern OOD, with extensive Ruby experience.
• Systematic performance issue diagnosis and improvement.
• Contribution to technical strategy and roadmaps.
• Clear communication of technical ideas, both written and verbal.
• Strong ownership and attention to detail.
• Strong convictions and embrace validation and iteration.
• Cross-functional teamwork with product stakeholders and SMEs.

Nice-to-haves:

• Startup and brand-name SaaS experience.
• Event-driven architecture and Kafka experience.
• React and TypeScript experience.

Tech Stack:

• React and TypeScript (Front-end).
• Ruby and PostgreSQL (Back-end).
• Event-driven architecture with Kafka.
• AWS and Kubernetes.

Work Culture:

• Iterative process with quick adaptation to ambiguity.
• Candid, transparent, and caring communication style.
• Data-driven decision making.

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