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Popular mid-level backend title, metro location, and broad cloud skill requirements increase competition.
Core backend, Python, cloud, and database skills are easily transferable across industries.
Explicit years plus mandatory backend, cloud, serverless, NoSQL and IaC skills produce strict shortlisting filters.
Design, implement, and maintain backend engineering solutions to ingest and process machine learning extracted alternatives investment data.
Lead individual projects including setting priorities, delivering software releases, and collaborating with data scientists, product managers, and operations engineers.
Rapidly iterate on new product offerings within a serverless architecture using IaC (Terraform) and ensure system scalability and usability for alternative investment strategies.
At least 3 years of backend development experience.
Proficient in Python or Java and experience with NoSQL databases such as DynamoDB.
Experience with serverless architectures and infrastructure as code, preferably Terraform.
Must have legal authorization to work in the country of employment on day one; visa sponsorship not available.
Experienced in building scalable backend systems handling financial data within the fintech or wealth/portfolio management domain.
Comfortable working in collaborative, cross-functional teams involving machine learning engineers and product managers.
Practical skills in AWS services and relevant technologies like DynamoDB and OpenSearch/Elasticsearch to support alternatives data management workflows.