Tech Lead
HybridMelbourne, Victoria, Australia
Job Summary
Take complete technical ownership of the Discovery team's services, ensuring conversational search and content intelligence pipelines are scalable, highly available, and structurally sound. Design resilient, decoupled distributed systems using event-driven architectures with clean API boundaries and robust fault tolerance. Champion DevSecOps practices by embedding automated security scanning, vulnerability management, and strict IAM principles. Own and optimize CI/CD pipelines, driving automated testing, seamless deployment strategies, and infrastructure reproducibility. Act as the financial guardian of the domain, monitoring and optimizing total AWS infrastructure spend across compute, storage, search indexes, and LLM usage. Provide technical steering for Generative AI and RAG architectures, evaluating tools like AWS Bedrock safely and cost-effectively. Partner with the Engineering Manager to balance new product capabilities with long-term architecture health and technical debt reduction. Collaborate with stakeholders to deconstruct complex concepts, outline system boundaries, write user stories, and map estimates. Stay close to the code by writing clean, resilient backend services using Node.js and TypeScript on AWS. Provide technical mentorship, lead architectural workshops, and run thorough code reviews for both junior and senior engineers.
Required Qualifications
- 8+ 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
- Living on the east coast of Australia
- Permanent position availability
Desired Qualifications
- A strong background in enterprise search engines (like Elasticsearch or OpenSearch)
- Data engineering pipelines
- A passing literacy in React/JS/CSS
- Experience with modern cloud observability and monitoring tools (like Dynatrace, DataDog, or AWS CloudWatch)
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.