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Tier-1 brand, metro location, mid-level generalist backend role, and broad stack increase competition.
Core Python, cloud, and observability skills transfer across industries, though banking domain adds moderate bias.
Multiple mandatory technical skills, secure development expectations, and explicit years requirement enforce strict shortlisting.
Design, develop, and troubleshoot multiple software components using Python and related technologies within the Payments Technology team.
Write secure, high-quality code and leverage enterprise-authorized AI-assisted development tools to improve code quality and productivity.
Analyze large datasets to inform secure and stable application development, participating in the full Software Development Life Cycle with agile methodologies.
2+ years of applied software engineering experience with formal training or certification.
Hands-on practical experience with Python, Observability, OpenTelemetry (OTel), and Dynatrace.
Experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs.
Experience in a large corporate environment developing and debugging code with modern programming and database querying languages.
Demonstrated ability operating in agile, SDLC-driven environments, with exposure to CI/CD, resiliency, and security considerations.
Experienced in full stack Python development and microservices deployment using AWS services (EKS/ECS/EC2).
Familiarity with infrastructure as code tools like Terraform and relational databases such as Oracle or PostgreSQL.