This is a unique opportunity for technically strong hands-on engineering SME to join a cutting-edge platform engineering function, which provides cloud and on-prem infrastructure to front-office developers (quantitative and strat teams). You’ll be at the forefront of cloud-native engineering, working with modern technologies across AWS, On-premise Kubernetes, Python, and data pipelines. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you.
Key Responsibilities
- Architect and develop platform services
- Collaborate with internal infra/platform teams to align capabilities
- Design and implement cost-aware, secure, scalable systems using AWS services and Kubernetes.
- Mentor junior engineers and set best practices.
- Work across organisational boundaries and influence without authority when needed.
- Keep abreast of modern engineering trends, especially in AI/ML infrastructure and cloud-native tooling.
Key Requirements
- 6-12 years of experience in software/data engineering; ideally in platform or infra roles.
- Strong understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments.
- Experience with Agentic Solutions and technologies (Langchain, Langragh, Rag-Patterns)
- Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, Api Gateway, Step Functions, MSK, Cloudformation etc.)
- Experience with On-Prem Hadoop and Kubernetes.
- Strong programming skills in Python; familiarity with Java is a plus.
- Knowledge of how quantitative or front-office developers operate is a strong plus
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