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AI Summary
Role: Software Engineer III
Job Summary
As a Software Engineer III, you will independently deliver high-quality, reliable code for moderately complex features while contributing to overall system performance and stability. You will own workstreams end-to-end—from design through release—collaborate across teams, and proactively identify improvements to code, systems, and processes. You will also support team growth through mentorship and knowledge sharing, while adapting to modern engineering practices including AI-assisted development.
Key Responsibilities
Feature Development & Delivery
Design, develop, test, and release robust features with a strong focus on reliability and performance
Own delivery of moderately complex work independently, from backlog refinement through production deployment
Ensure code quality through unit testing, integration testing, and adherence to engineering standards
Quality, Reliability & Operations
Proactively identify and fix root cause issues to improve system stability
Troubleshoot and resolve production incidents, ensuring minimal impact and effective follow-up
Maintain clear and up-to-date technical documentation
Collaboration & Execution
Work closely with product, QA, and DevOps teams to deliver features aligned with business goals
Participate actively in sprint planning, design discussions, and code reviews
Contribute to improving team velocity and delivery predictability
Mentorship & Growth
Support onboarding and mentor junior engineers through guidance and knowledge sharing
Continuously learn and apply new technologies, tools, and best practices
Contribute to a collaborative, inclusive, and accountable engineering culture
Required Skills & Competencies
Core Engineering
Solid understanding of software design principles, object-oriented programming, and system design fundamentals
Experience with API development and microservices-based architectures
Understanding of cloud computing (Azure or AWS) and modern application development patterns
Knowledge of data security and secure coding practices
Modern Engineering & AI
Exposure to AI tools and AI-assisted development workflows
Basic experience integrating or working with AI/ML or generative AI capabilities
Willingness to adopt emerging areas such as AI agents and automated AI workflows (AutoAI)
Collaboration & Problem Solving
Strong analytical and problem-solving skills with attention to detail
Effective communication and collaboration across cross-functional teams
Adaptability in fast-paced, iterative environments
Commitment to ethical and responsible engineering practices
Qualifications (Education & Experience)
5+ years of experience in software engineering and application development
Proven ability to independently deliver features and manage assigned workstreams
Experience working in cross-functional, Agile teams
Demonstrated ability to troubleshoot issues and improve system reliability
Technical Skills
Proficiency in:
Backend: C#, .NET, Python
Frontend: React, Redux, Material UI, Bootstrap
Experience with Web APIs and microservices architectures
Familiarity with source control systems (e.g., GitHub)
Experience with databases (e.g., SQL Server, PostgreSQL, DynamoDB)
Strong fundamentals in cloud platforms (Azure/AWS) with application development experience
Exposure to AI technologies and tools
Working knowledge of CI/CD pipelines (GitHub Actions, Azure DevOps)
Familiarity with Agile development practices and DevOps principles
Ability to quickly learn new technologies and share knowledge with the team
Nice to Have
Certifications in Cloud (Azure/AWS) or AI/ML
Experience contributing to performance optimization or reliability initiatives
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