The ideal candidate will have a strong grasp of modern backend and frontend technologies, containerized deployments, and cloud-native architectures. Familiarity with Generative AI and AWS Bedrock is a big plus.
Responsibilities:
- Develop and maintain backend services using Python (FastAPI, boto3 SDK).
- Build responsive and dynamic user interfaces using React.js.
- Design, deploy, and maintain containerized applications on AWS ECS (Fargate).
- Manage databases using PostgreSQL, including schema design and optimization.
- Implement CI/CD pipelines and leverage DevOps tools for automated deployment.
- Work with a variety of AWS services including:
- S3, ECS Fargate, RDS, Systems Manager, and Secrets Manager, etc
- Apply Generative AI principles including Retrieval-Augmented Generation (RAG) using AWS Bedrock and Bedrock Knowledge Bases.
- Translate business and technical requirements into functional and design specifications.
- Lead and mentor junior developers through code reviews and design discussions.
- Participate in user testing, triage issues, and implement bug fixes promptly.
- Contribute as an active member of a cross-functional Agile development team.
Requirements:
- Strong experience in Python backend development (FastAPI, boto3).
- Proficient in React.js and modern JavaScript development.
- Solid understanding of Docker, container orchestration, and AWS ECS deployments.
- Experience with PostgreSQL or similar relational databases.
- Hands-on with DevOps practices, tools, and CI/CD pipeline setup.
- Proficient in cloud-native development using AWS Services.
- Experience with Generative AI concepts, RAG patterns, and AWS Bedrock.
- Strong analytical, problem-solving, and communication skills.
- Demonstrated leadership capabilities and experience mentoring junior team members.
- Ability to own projects end-to-end, from design to production support.
Interested candidates may send their CV to MAC (Reg No. R1221300) at anc1@anchorsearchgroup.com quoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.