Senior Software Engineer
HybridSydney, New South Wales, Australia
Job Summary
Own core services within the Discovery team, ensuring 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 by integrating automated security scanning, vulnerability management, and strict IAM principles. Maintain and optimize CI/CD pipelines, driving automated testing, reliable deployment strategies, and infrastructure reproducibility. Participate in FinOps practices to monitor and optimize AWS infrastructure spend across compute, storage, search indexes, and LLM usage. Contribute to Generative AI and RAG architectures, helping evaluate and integrate tools like AWS Bedrock safely and cost-effectively. Partner with leadership to balance new product capabilities with long-term architectural health and technical debt reduction. Collaborate with stakeholders to deconstruct requirements, define system boundaries, and write clear user stories. Stay hands-on writing clean, resilient backend services using Node.js and TypeScript on AWS. Provide technical mentorship, participate in architectural discussions, and conduct thorough code reviews for peers.
Required Qualifications
- 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)
- Experience with containerized workloads (ECS/Fargate)
- Infrastructure as Code using AWS CDK or Terraform
- Proven capability in modern DevSecOps practices, including building and maintaining robust CI/CD automation pipelines
- Implementation of the AWS Well-Architected Framework
- A strong track record of rigorous system design
- Deep understanding of caching strategies
- Database optimization
- Web performance tuning
- Distributed debugging
- The technical maturity to evaluate, architect, and safely implement Generative AI workflows (such as RAG and orchestration via AWS Bedrock)
- Advanced programming skills in Node.js and TypeScript
- Comfort working in iterative, agile engineering environments that leverage Scrum or Kanban frameworks
- This is a permanent position open to anyone living on the east coast of Australia
- You can balance working from home and collaborating with the team in a way that actually works for you
Desired Qualifications
- A strong background in enterprise search engines (like Elasticsearch or OpenSearch)
- Experience with data engineering pipelines
- Hands-on experience building and deploying production-grade LLM/AI-based services, especially using AWS Bedrock
- A passing literacy in React/JS/CSS
- Experience with modern cloud observability and monitoring tools (like Dynatrace, DataDog, or AWS CloudWatch)
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