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Tier-1 brand, metro locations, and a mid-level generalist backend title drive high applicant competition.
Core backend and cloud skills transfer across industries, though financial domain knowledge is advantageous.
Multiple mandatory technical skills, cloud/platform requirements, and explicit years create stringent screening filters.
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Lead software design and development efforts using .NET Core, microservices, Kubernetes, Docker, and AWS to deliver secure, high-quality, and scalable technology solutions.
Drive adoption and effective use of AI-assisted engineering practices within the team to improve code quality, delivery speed, and operational outcomes, ensuring validation of AI outputs for correctness, performance, and security.
Produce architecture and design artifacts while collaborating with distributed teams and analyzing large data sets to continuously improve software applications and systems.
5+ years of applied software engineering experience with formal training or certification.
Proficient in Microsoft .NET Core and SQL with hands-on experience in microservices, Kubernetes, Docker, Terraform/cloud formation, and cloud services (AWS).
Experience in system design, application development, testing, operational stability, and agile methodologies including CI/CD and security practices.
Work Experience Required: 5+ years
Experienced in leading technical solutions and guiding teams on AI-assisted software development tools within an enterprise environment.
Strong background in cloud architecture (especially AWS) and microservices in large corporate settings with an emphasis on secure, resilient, and scalable systems.
Preferred knowledge of Capital markets, Securities Processing, Custody, DevOps, SDLC, Agile methodologies, and familiarity with React JS, Entity Framework, or heterogeneous platform integration.