engineering
Posted Apr 29Staff Software Engineer, Applications
at Why Hiring
Remote
Responsibilities
- Collaborate and Iterate: Work closely with stakeholders and technical leads to understand functional
- Design and Estimate: Provide scope and risk estimates for system and feature builds by creating comprehensive technical design documentation.
- Resolve Production Issues: Perform triage for live issues, assess impact, execute short-term and long-term mitigation plans, and conduct root-cause analysis.
- Mentor and Coach: Guide junior team members through design and code reviews, providing actionable feedback on their projects.
Requirements
- Success in this position requires a deep understanding of our systems, the ability to independently design interfaces and APIs, and close collaboration with frontend engineers and Product Managers to define features and requirements.
- To excel in this role, you will need to become an expert in our data schema and its interactions with our business use cases, supporting our mission to lower healthcare costs. What you will do:
- Focus on back-end architecture: Design, develop, and maintain SmithRx product features using various languages such as Golang, GraphQL, Node, and SQL.
- Leverage AWS: Utilize AWS technologies, including Lambda, DynamoDB, SQS, and RDS, to handle diverse job types and batch processing.
- AI Integration: Actively seek out new AI tools and technologies and share them with the team to positively impact overall software delivery speed and quality.
- Education: BS or advanced degree in Computer Science or equivalent professional experience. •
- Experience at a high-growth startup or midsize tech company is a plus.
- experience working with a compiled language such as Go, Java, C#, or C++ (Go experience is a strong plus).
- Database Mastery: Proficiency with relational databases (specifically PostgreSQL), including schema design, SQL tuning, and database monitoring.
- experience designing and implementing scalable APIs, with a solid understanding of design patterns and testing best practices.
- Cloud & DevOps: Strong understanding of GraphQL APIs, CI/CD pipelines, AWS, Docker, and Kubernetes. AI Proficiency:
- Experience using GenAI tools to efficiently deliver high-quality production software is a plus.