Software Engineer
Role details
Job location
Tech stack
Job description
As a Software Engineer, you will design, develop, and maintain scalable, high-performance applications that support critical business operations. You will work on full stack systems with a backend focus, contributing to modernizing enterprise applications and improving system reliability, security, and performance.
You will collaborate cross-functionally with engineering, product, security, and infrastructure teams to deliver resilient, compliant, and cloud-ready solutions. Responsibilities
- Design, develop, test, and deploy full stack applications using .NET / .NET Core (C#)
- Build and maintain scalable backend services and RESTful APIs
- Design and optimize database schemas, queries, and data models (Oracle/SQL)
- Develop efficient data access layers using Entity Framework / EF Core
- Implement event-driven architecture using tools like Apache Kafka
- Ensure application performance, scalability, and security in a regulated environment
- Troubleshoot and resolve production issues, conducting root cause analysis
- Contribute to code reviews, testing, and continuous integration workflows
- Collaborate within an Agile/Scrum team to deliver high-quality software
- Support compliance, audit, and risk management requirements
Additional Details
- Focus area: Supporting internal applications related to branch data and metadata management
- Technology stack: Primarily .NET/C#, Oracle/SQL, React/Angular, Kafka
- Work model: Hybrid (3 days onsite required)
- Occasional release support (schedule adjusted, no overtime required)
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Requirements
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 4+ years of experience in software engineering
- 4+ years of experience with .NET / C# development
- 4+ years of experience with relational databases (Oracle, SQL)
- Experience building and consuming RESTful APIs
- Experience with frontend frameworks such as React or Angular, * Experience designing and building scalable distributed systems
- Experience with Apache Kafka or event-driven architectures
- Experience with cloud platforms (Azure preferred; AWS or Google Cloud Platform acceptable)
- Experience with CI/CD pipelines (e.g., Jenkins, Harness) and DevOps practices
- Familiarity with containerization platforms such as Kubernetes or OpenShift
- Experience working in regulated or enterprise environments
- Exposure to AI-assisted development tools (e.g., GitHub Copilot)