Location: New York
Join a mission-critical team within the firm’s cutting-edge platform engineering function, supporting platform for front-office developers.
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
• 8-12 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, Langraft, Rag-Patterns)
• Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, Api Gateway, Step Functions, MSK, Cloud formation 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
If you or someone you know is interested in this position, apply below or reach out to matth
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