• Take ownership of core services within the Discovery team, ensuring our conversational search and content intelligence pipelines are scalable, highly available, and structurally sound
• Design and implement resilient, decoupled distributed systems using event-driven architectures, maintaining clean API boundaries and robust fault tolerance
• Embed DevSecOps practices within the team, integrating automated security scanning, vulnerability management, and strict IAM principles into everything we build
• Maintain and optimize CI/CD pipelines, driving automated testing, reliable deployment strategies (like blue-green or canary releases), and infrastructure reproducibility
• Participate in FinOps practices for our domain, monitoring and optimizing AWS infrastructure spend across compute (ECS/Fargate/Lambda), storage (S3), search indexes, and LLM usage
• Contribute to Generative AI and RAG architectures, helping evaluate and integrate tools like AWS Bedrock safely, cost-effectively, and pragmatically
• Partner closely with the Tech Lead and Engineering Manager to balance delivering new product capabilities with maintaining long-term architectural health and reducing technical debt
• Collaborate with business stakeholders and Designers to deconstruct technical requirements, define system boundaries, write clear user stories, and provide accurate estimates
• Stay hands-on by writing clean, resilient backend services using Node.js and TypeScript on AWS
• Provide supportive technical mentorship, participate in architectural discussions, and conduct thorough code reviews for peers across the team

What We Are Looking For

• A solid foundation of 5+ years of hands-on experience building, scaling, and maintaining complex distributed systems in production
• Deep production experience with cloud-native AWS environments, specifically serverless architectures (Lambda, API Gateway, DynamoDB), containerized workloads (ECS/Fargate), and Infrastructure as Code using AWS CDK or Terraform
• Proven capability in modern DevSecOps practices, including building and maintaining robust CI/CD automation pipelines and implementing the AWS Well-Architected Framework
• A strong track record of rigorous system design, with a deep understanding of caching strategies, database optimization, web performance tuning, and distributed debugging
• The technical maturity to evaluate, architect, and safely implement Generative AI workflows (such as RAG and orchestration via AWS Bedrock) without losing sight of cost control and data security
• Advanced programming skills in Node.js and TypeScript
• Comfort working in iterative, agile engineering environments that leverage Scrum or Kanban frameworks
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