Position Summary

We are seeking a highly skilled and motivated Senior Developer I to design, develop, and support enterprise-scale applications and services. This individual will play a critical role in delivering high-quality software solutions, solving complex technical challenges, mentoring team members, and driving engineering excellence.

The ideal candidate combines solid software development expertise with modern cloud technologies, DevOps practices, and AI-assisted engineering techniques. They are expected to independently deliver complex solutions, improve team productivity, and contribute to the continuous evolution of our technology platform.

This role requires a hands-on engineer who can balance technical execution, solution design, operational support, and collaboration across cross-functional teams. Responsibilities align with internal Senior Developer I expectations of being a fully competent developer who tackles complex problems, demonstrates strong professional growth, and regularly contributes to team improvement.

Key Responsibilities

Software Development

- Design, develop, test, deploy, and maintain high-quality software solutions.
- Write clean, scalable, maintainable, and secure code following industry best practices.
- Break down complex business requirements into technical solutions.
- Deliver features independently with minimal supervision.
- Participate in code reviews and maintain coding standards.
- Ensure software quality through automated testing and continuous integration practices.

Technical Design & Architecture

- Create technical designs and implementation approaches for new features.
- Evaluate technologies, frameworks, and architectural patterns.
- Contribute to system design discussions and technical decision-making.
- Design scalable, resilient, and performance-optimized solutions.
- Document architecture, design decisions, and operational procedures.

Problem Solving & System Ownership

- Diagnose and resolve complex application and production issues.
- Perform root-cause analysis and implement long-term corrective actions.
- Optimize system performance, reliability, scalability, and security.
- Monitor application health and proactively identify improvement opportunities.
- Take ownership of features throughout their lifecycle.

Cloud & DevOps

- Build and support cloud-native solutions on AWS, Azure, or similar platforms.




- Implement CI/CD pipelines and deployment automation.
- Utilize infrastructure-as-code and automated operational practices.
- Support monitoring, alerting, and observability initiatives.
- Collaborate with infrastructure and security teams to maintain compliance and reliability.

AI-Assisted Engineering & Copilot Adoption

- Leverage AI-powered developer tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, Cursor, Claude, or similar platforms to improve productivity and software quality.
- Use AI tools to accelerate coding, debugging, unit test generation, technical documentation, code reviews, and knowledge discovery.
- Apply effective prompt engineering techniques to obtain accurate and useful technical outputs.
- Evaluate AI-generated code and recommendations using sound engineering judgment.
- Ensure responsible AI usage while adhering to organizational security, privacy, compliance, and intellectual property standards.
- Identify opportunities to improve development efficiency through AI-enabled workflows and automation.
- Share AI best practices and mentor team members on responsible and effective AI adoption.
- Stay current with emerging AI technologies and assess their applicability to business solutions.

Technical Leadership & Mentoring

- Mentor junior and intermediate developers.
- Share technical knowledge and engineering best practices.
- Guide team members on solution design, coding standards, and troubleshooting approaches.
- Promote a collaborative and learning-oriented team culture.
- Influence engineering improvements through technical leadership and example.

Continuous Improvement

- Drive improvements in development processes, tooling, and engineering practices.
- Reduce technical debt and improve maintainability.
- Identify opportunities for automation and operational efficiency.
- Contribute to engineering standards and best practices.

Required Qualifications

Education

- Bachelor's degree in Computer Science, Software Engineering, Information Technology,



or equivalent practical experience.

Experience

- 7+ years of professional software development experience.
- Proven experience delivering enterprise-scale software applications.
- Experience working in Agile/Scrum development environments.
- Demonstrated success in independently delivering complex technical solutions.

Technical Skills

Required

- Strong proficiency in C#, .NET, and object-oriented programming.
- Strong understanding of software architecture and design patterns.
- Experience developing REST APIs and service-oriented solutions.
- Strong SQL and relational database design experience.
- Experience with cloud platforms such as AWS or Azure.
- Experience with CI/CD pipelines and DevOps practices.
- Strong debugging, troubleshooting, and performance tuning skills.
- Experience with automated testing methodologies.
- Source control expertise using Git.

Preferred

- React, Angular, Vue, or Blazor development experience.
- Experience with microservices architectures.
- Experience with NoSQL technologies such as DynamoDB, Cosmos DB, or MongoDB.
- Experience with containerization technologies such as Docker or Kubernetes.
- Experience integrating AI/LLM services such as Azure OpenAI, AWS Bedrock, OpenAI APIs, or similar platforms.
- Experience building AI-enabled or intelligent automation solutions.

Core Competencies

Technical Excellence

- Produces high-quality, maintainable, and scalable solutions.
- Demonstrates strong analytical and problem-solving capabilities.
- Exercises sound technical judgment.

Ownership & Accountability

- Takes responsibility for deliverables and outcomes.
- Proactively identifies risks and drives resolution.
- Demonstrates reliability and commitment to quality.

Collaboration

- Works effectively across engineering, product, QA, and business teams.
- Communicates technical concepts clearly to both technical and non-technical audiences.
- Builds productive working relationships.

Innovation

- Embraces emerging technologies and engineering practices.
- Utilizes AI and automation to improve productivity and software quality.
- Continuously seeks opportunities for improvement and innovation.

Leadership

- Coaches and mentors team members.
- Positively influences engineering culture.
- Helps improve team effectiveness and delivery outcomes.

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