About the role
Join an AI services company's product engineering team to build and scale mission-critical software for a leading global pharmaceutical client. You will take end-to-end ownership of backend features, collaborate directly with client stakeholders across distributed teams, and drive technical decisions.
Responsibilities:
- Design, build, and maintain scalable backend services and APIs.
- Own the full feature lifecycle from requirements and design through deployment and monitoring.
- Architect and manage AWS cloud infrastructure, prioritising security, reliability, and cost best practices.
- Collaborate directly with client stakeholders through stand-ups, planning, and reviews, including some time zone overlap.
- Drive technical decisions, enforce engineering standards, and conduct code reviews.
- Troubleshoot production issues and continuously improve system performance and reliability.
Requirements:
- 5+ years of professional software engineering experience with a strong backend focus.
- 2+ years of hands-on AWS experience with: EC2 ECS, Lambda, S3 RDS, API Gateway, CloudWatch.
- Strong proficiency in at least one backend language: TypeScript, Python, Java, Node.js, Go.
- Solid understanding of: SQL/NoSQL databases, REST APIs, Microservices architecture.
- Hands-on experience with Docker and containerised deployments.
- Proven track record of building and shipping complete products, not just isolated features.
- Experience collaborating directly with clients or distributed teams across time zones.
- Excellent written and verbal communication skills.
Nice to Have:
- Domain experience in healthcare, pharma, or other regulated industries.
- Exposure to AI/ML-powered products or services.
- Familiarity with CI/CD pipelines and infrastructure-as-code, including Terraform or CloudFormation.
- Comfort working international hours.
- Prior experience working with Australia/New Zealand clients is a plus.