Salary :
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Position: Platform Engineer
Location: Remote
Employment Type: Full Time
About the Role: We are looking for a Platform Engineer to own and evolve our backend platform, ensuring production readiness, scalability, and reliability. You will design and implement backend APIs that support our AI-driven product used across web, iOS, and Android.
This role suits an engineer passionate about infrastructure, backend services, and AI-enabled applications, with experience in advancing systems from early development to staging and production.
Key Responsibilities:
• Design, build, and maintain backend APIs using Node.js and TypeScript for web and mobile clients.
• Audit and enhance backend systems for staging and production with focus on scalability, security, observability, and fault tolerance.
• Collaborate with frontend engineers (web/iOS/Android) to define API contracts and ensure efficient data flows.
• Integrate and manage AI-driven workflows using OpenAI APIs in partnership with AI engineering.
• Design and maintain data models and patterns using Amazon DynamoDB.
• Deploy, manage, and monitor services on AWS ECS and EC2.
• Implement authentication and authorization using Amazon Cognito.
• Establish and maintain CI/CD pipelines, deployment workflows, and environment separation (dev/staging/production).
• Enhance logging, monitoring, and alerting to support production operations.
• Build and maintain testing infrastructure (unit, integration, end-to-end) to ensure reliability and accuracy of our finance-focused application.
• Participate in architectural decisions and provide best practice guidance.
Required Skills:
• 1–3 years of experience with at least 1–2 commercial products launched online.
• Strong experience with Node.js and TypeScript in production.
• Proven ability to design and maintain RESTful or GraphQL APIs for web and mobile applications.
• Hands-on experience with AWS services: DynamoDB, ECS, EC2, Cognito.
• Experience deploying and operating backend systems in staging and production.
• Understanding of system design, scalability, and reliability.
• Experience integrating third-party APIs, especially AI/ML services.
Nice to Have:
• Experience with AI-powered or large language model-based applications.
• Knowledge of Infrastructure-as-Code tools like Terraform or CDK.
• Experience with observability tools such as CloudWatch or Datadog.
• Background in early-stage or fast-moving startups.
$2,418 - $3,300 a month
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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