Back
Tier-1 brand, metro role, and generalist senior backend title increase candidate density.
Core backend and cloud skills transfer across industries, though financial indices knowledge helps.
No explicit years but expects strong production backend, AWS and database experience, so moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain production-grade software services, APIs, libraries, and command-line tools primarily in Python within a modern AWS environment.
Own feature development end-to-end including design, coding, testing, deployment, and production support, with responsibility for software quality and reliability.
Design data models and integrations for relational databases (Aurora PostgreSQL) and object storage and implement scalable data processing on AWS (Lambda, S3, containers).
Proven experience building and maintaining production software (applications, services, or libraries) beyond scripting or notebooks.
Proficiency in Python preferred; candidates with deep experience in Java, C#, C, C++, Scala, Go, or Rust and willingness to transition to Python will be considered.
Strong practical experience with relational databases, including schema design and query writing (Aurora PostgreSQL preferred).
Working knowledge of cloud platforms, ideally AWS services such as Lambda, S3, containers, and IAM basics. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in hands-on software development with strong software engineering fundamentals including modular design, code maintainability, testing, and CI/CD workflows.
Able to work collaboratively in Agile teams and directly engage with product and business stakeholders to translate requirements into working software.
Comfortable or motivated to work with large-scale data processing, ETL pipelines, and data schema evolution in a financial or data-intensive domain.