Senior Software Engineer/Developer
Fidelity InvestmentsAbout the role
Job Description:
Position Description:
Builds and maintains large scale Machine Learning (ML) Infrastructure and ML pipelines, dashboards, platforms and tools to enable both prediction and optimization of model development. Performs advanced analytics and scales existing ML platforms and frameworks for model trains and deployment. Develops ML operations using various cloud technologies and collaborates with Data Scientists to robustly scale up ML Models for large volumes in production, to deliver personalized experiences to customers. Partners with Applied Data Scientists to build models and to simplify data and ML ecosystem. Analyzes information to determine, recommend, and plan computer software specifications on major projects and proposes modifications and improvements based on user need. Provides business solutions by developing complex or multiple software applications.
Primary Responsibilities:
Develops original and creative technical solutions to on-going development efforts.
Designs applications or subsystems on major projects and for/in multiple platforms.
Develops applications for multiple projects supporting several divisional initiatives.
Supports and performs all phases of testing leading to implementation.
Assists in the planning and conducting of user acceptance testing.
Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
Responsible for post-installation testing of any problems.
Establishes project plans for projects of moderate scope.
Works on complex assignments and often multiple phases of a project.
Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.
Education and Experience:
Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Software Engineer/Developer (or closely related occupation) building, deploying, and maintaining scalable ML infrastructure in Cloud Amazon Web Services (AWS).
Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Software Engineer/Developer (or closely related occupation) building, deploying, and maintaining scalable ML infrastructure in Cloud Amazon Web Services (AWS).
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (“DE”) architecting, developing, and deploying multi-tier, in-house patterns in Application Containerization Infrastructure Deployment (ACID) framework and Software Development Life Cycle (SDLC) framework using Agile to deliver at scale; and improving application performance and supporting business rules to ensure observability and resiliency while writing production-level code adhering to PEP 8 standards.
DE developing and migrating web services using SOAP, REST API, Swagger API, and API Gateway; integrating third-party vendor services and implementing Continuous Integration (CI) and Continuous D
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