Backend Engineer, AI & Data Pipelines

McKkr's Training & Internships

North Sydney Council

On-site

AUD 120,000 - 160,000

Full time

5 days ago
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Job summary

McKkr's Training & Internships is seeking a skilled backend engineer to design and implement scalable services, APIs, and data pipelines in Sydney. You will integrate AI models, collaborate with product and AI teams, and drive secure, high-performance software across the stack.

The role emphasizes building robust backend architecture, contributing to product features from discovery to release, and mentoring juniors while ensuring code quality and maintainability in a fast-paced startup

Qualifications

  • A bachelor’s degree or higher qualification.
  • At least five years of relevant experience and/or vendor certification may substitute for the formal qualification.

Responsibilities

  • Design, build, and maintain scalable backend services, APIs, and data pipelines.
  • Integrate AI/ML models into consumer-facing products.
  • Collaborate with product and AI teams to deliver personalised AI experiences.
  • Develop and optimize backend services, APIs, and databases for performance and reliability.
  • Ensure secure, scalable backend services and APIs; follow best practices for testing and deployment (CI/CD).
  • Troubleshoot and resolve bottlenecks as the company scales.
  • Prepare technical documentation and handover knowledge across the team.
  • Assist in debugging and resolving production issues across the stack.

Skills

TypeScript
Backend development
APIs
CI/CD
Security
Performance optimization
Code reviews
Mentorship

Education

Bachelor's degree or higher qualification

Tools

Databases
CI/CD tooling
Cloud services

Job description

McKkr's Training & Internships is seeking a skilled backend engineer to design and implement scalable services, APIs, and data pipelines in Sydney. You will integrate AI models, collaborate with product and AI teams, and drive secure, high-performance software across the stack.

The role emphasizes building robust backend architecture, contributing to product features from discovery to release, and mentoring juniors while ensuring code quality and maintainability in a fast-paced startup

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