Worth AI

Senior Software Engineer, Platform & Developer Experience

Vaga remota de Platform Engineering com fit claro de localização do candidato.

Publicada18 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Estados Unidos

AWS CI/CD Kubernetes Node.js PostgreSQL Python React TypeScript

Resumo da vaga

Senior Software Engineer, Platform & Developer Experience

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

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.

Details

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.
Languages & Runtimes: Node.js, TypeScript
Frameworks: Nest.js, React.js
Data & Messaging: PostgreSQL, Kafka, Redis, Redshift
Infrastructure & Orchestration: Kubernetes, ArgoCD
Monitoring: DataDog
8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction.
Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers.
Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams.
Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends.
Hands-on experience managing containerized workloads using Kubernetes and ArgoCD.
Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture).
Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture.
Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps.
Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar.

Technology Stack

Languages & Runtimes: Node.js, TypeScript
Frameworks: Nest.js, React.js
Data & Messaging: PostgreSQL, Kafka, Redis, Redshift
Infrastructure & Orchestration: Kubernetes, ArgoCD
Monitoring: DataDog

Requirements

8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction.
Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers.
Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams.
Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends.
Hands-on experience managing containerized workloads using Kubernetes and ArgoCD.
Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture).
Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture.
Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps.
Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar.

Success Metrics

DORA Metrics Improvement: Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR).
System Latency: Successfully optimize core services to meet strict P90 and P99 latency targets, specifically targeting slow endpoints and database bottlenecks.
Developer Velocity: Engineers ship code faster and more confidently due to the shared components, patterns, and tools you’ve built.
Knowledge Distribution: The broader engineering team demonstrates increased proficiency in our core stack (Nest.js, React, Kafka) through your mentorship.

Bonus Points (nice to haves, not requirements)

Proven expertise with AWS services including MSK, RDS, EKS, S3, and Lambda.
Strong background in Redshift, encompassing schema design, ETL pipeline management, and query optimization.
Practical experience using Infrastructure-as-Code (IaC) tools like Terraform for managing large-scale cloud environments.
Hands-on experience with Redis and implementing distributed system caching strategies to resolve bottlenecks in high-throughput applications.
Proficient in Python, including libraries like Celery and SQLAlchemy.
Familiarity with serverless computing approaches.