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  "employer_name": "Caspian One",
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  "job_description": "About the Role\n\nJoin a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on engineering leader to shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions.\n\nThis is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke GenAI tools that directly impact trading performance. If you’re passionate about building something unique, ahead of the curve, and never done before, this is your chance to make it happen.\n\nWhat You’ll Do\n\nYou’ll lead and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption:\n• Architect and develop cutting-edge platform services for AI-driven trading.\n• Potentially lead a small team of engineers, driving technical excellence while staying hands-on.\n• Collaborate with internal infra/platform teams to align capabilities and avoid duplication.\n• Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes.\n• Mentor junior engineers and set best practices for AI/ML infrastructure.\n• Influence across organisational boundaries and champion modern engineering trends.\n• Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling.\n\nTech Stack\n• Programming: Expert level Python (Java familiarity is a plus).\n• AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more.\n• On-Prem: Managed Kubernetes Platform and Hadoop ecosystem.\n\nWhy This Role is Different\n• Direct Impact: Build AI tools that traders and quants use daily to optimise strategies.\n• Creative Freedom: Open collaboration and the chance to bring your ideas to life.\n• Visibility: Be a big player in a small, high-impact team with exposure across the organisation.\n\nWhat We’re Looking For\n• 10 + years of extensive experience in software/data engineering, ideally in platform or infra roles.\n• Expert level programming skills in Python; passion for code quality and testing.\n• Demonstrable experience applying GenAI concepts to front-office/capital market environments.\n• Extensive financial services experience, ideally in a front-office environment.\n• Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation).\n• Passion for being hands-on while enabling and growing a small engineering team.\n\nNice to Have\n• Experience with on-prem Hadoop and Kubernetes.\n• Experience with LangChain & LangGraph.\n• Familiarity with AWS cost management and optimisation tools.\n• Knowledge of front-office developer workflows in financial services.",
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  "job_posted_at_datetime_utc": "2026-03-12T00:00:00.000Z"
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