Worth AI
Senior Software Engineer, Platform & Developer Experience
engineeringfull timeUnited States
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full time
INDUSTRY
ai
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About the role
Responsibilities
- Conduct regular interviews with engineering teams to find pain points in their daily workflows and prioritize the creation of tools or architectural changes to eliminate them.
- Design and implement reusable patterns using Nest.js, React.js, and TypeScript that enable other engineers to ship high-quality, performant services and interfaces by default.
- Take ownership of systemic performance issues, such as optimizing slow PostgreSQL queries or refining Kafka producer/consumer patterns to ensure reliable message delivery.
- Own and evolve our Kubernetes and ArgoCD configurations to ensure seamless, automated, and safe deployments across the organization.
- Lead nebulous, cross-team technical challenges such as re-architecting shared libraries or evolving our service-to-service communication and drive them to a concrete resolution.
- Identify 'sticky' or overly complex codebases and lead the effort to refactor them into maintainable, testable, and modern modules.
- Actively mentor and coach engineers across the organization, helping them level up their technical skills and understanding of our core architecture.
- Research, prototype, and roll out new internal tools, libraries, or frameworks that improve CI/CD, local development, or system observability.
- Introduce new frameworks or architectural shifts to the team and provide the documentation, workshops, and 1:1 support needed for successful adoption.
- Lead by example in code reviews, coaching others on maintainable design, testing strategies, and system-level risk mitigation.
- Communicate complex technical trade-offs effectively across functions, using empathy and self-awareness to handle conflict and align differing perspectives.
Technology Stack
- Languages & Runtimes: Node.js, TypeScript
- Frameworks: Nest.js, React.js
- Data & Messaging: PostgreSQL, Kafka, Redis, Redshift
- Infrastructure & Orchestration: Kubernetes, ArgoCD
- Monitoring: DataDog
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