Backend Software Engineer – AI-Enabled Development

**Job Description – Software Engineer (Backend)

Software Engineers at IFS transform product visions and roadmaps into high‑quality, maintainable, and scalable software capabilities. They interpret functional and technical requirements to design and implement enterprise‑grade backend software while ensuring performance, security, maintainability, and usability.

This role specifically includes basic DevOps competencies (CI/CD, cloud awareness, deployment automation, observability fundamentals) to ensure strong collaboration with platform engineering, quality engineering, and operational teams. This is not a DevOps role but a backend engineer role with operational and automation awareness.
Automated testing and code coverage understanding is must.

Summary

A Software Engineer (Backend) at IFS designs, develops, tests, and maintains backend components of IFS products. The role includes writing clean, efficient, secure, and scalable code, participating in design and code reviews, and applying sound engineering principles. Engineers also contribute to improving the codebase, documentation, and development processes.

They take part in automation and pipeline efficiency by applying foundational DevOps practices such as CI/CD pipelines, containerization, and cloud‑ready development. The engineer proactively prevents issues and resolves them quickly when they arise. They

**Essential Duties & Accountabilities

1. Backend Software Design & Development

• Design and develop backend services and components based on functional and technical requirements.
  Ensure performance, security, maintainability, and scalability.
• Use established software engineering best practices, patterns, and architectural guidelines.
• Take ownership of assigned tasks and contribute to technical initiatives.

2. Testing, Debugging & Code Quality

• Debug and resolve backend issues; evaluate alternative solutions where necessary.
• Ensure appropriate test coverage (unit, integration, API tests).
• Participate in code reviews, contributing constructive improvement feedback.

3. DevOps‑Related Responsibilities (Foundational Level)

(Adapted from DevOps responsibilities but proportionate to a Software Engineer role)

• Use and contribute to CI/CD pipelines for automated building, testing, and deployment.
• Write backend code that is cloud‑ready, container‑ready, instrumented for logging and monitoring.
• Apply fundamental DevSecOps practices (dependency scanning, secure coding, basic automation).
• Collaborate closely with DevOps/platform engineering to ensure smooth releases and efficient developer experience.

 
 4.  AI‑Driven Engineering Responsibilities

• Use of recommended AI tools (GitHub Copilot, Microsoft Copilot, Any Given commercial tools)
• AI‑assisted coding, refactoring, testing, documentation
• AI‑powered architecture/design review
• AI‑enabled observability & anomaly detection
• Experimentation with new AI capabilities
• Continuous feedback loop into engineering leadership
• Alignment with emerging IFS platform AI strategy

 Fully aligned with:

• Your previous Software Engineer (mid) scope
• DevOps foundations
• AI adoption expectations for modern engineering teams

 

5. Documentation

• Create and maintain technical documentation including API specs, architecture decisions, and system-level designs.
   

6. Stakeholder Engagement

• Work with requirement owners, architects, and QA to ensure functional fit and technical quality.
• Provide solution options and participate in technical estimations.
• Support prototyping and early validation efforts.
   

7. Knowledge Sharing & Collaboration

• Share knowledge with peers, mentor junior team members at a basic‑to‑intermediate level.
• Promote good engineering practices and continuous improvement.
   

8. Product/Program Contribution

• Assist in product-related market understanding and provide inputs into technical direction.
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Required Competence Areas

Using the Software Engineer competency matrix as baseline.

1. Technical Design & Programming

• Strong analytical, logical, and problem‑solving skills.
• Proficiency in at least one backend programming language.
• Understanding of algorithms, data structures, design patterns.

2. Documentation

• Ability to document code, design choices, and architecture decisions.

3. Performance, Reliability & Security

• Understanding of caching, indexing, scalability concepts.
• Familiarity with secure coding and OWASP basics.

4. DevOps & Cloud Fundamentals

• Understanding of CI/CD pipelines and ability to contribute to build/test automation.
• Basic containerization skills (Docker) and cloud‑ready design patterns.
• Familiarity with observability basics (logs, metrics, traces).
• Exposure to infrastructure-as-code or cloud environments is a plus (Terraform, Azure, etc.).

5. Collaboration & Leadership

• Able to participate in technical discussions and offer inputs.
• Provides support to less experienced engineers.
• Works independently on medium complexity tasks.
   

Required Education & Experience

Essential

• University degree in Software Engineering, Computer Science, or related field.
• Experience in software development lifecycle.
• Understanding of DevOps principles (CI/CD, automation).
• Strong problem‑solving skills and willingness to learn.

Desirable

• Experience with cloud platforms (Azure preferred).
• Experience with backend frameworks, REST APIs, microservices.
• Familiarity with agile methodologies.
• Knowledge of secure coding and testing practices.

University degree in Software Engineering, Computer Science, or related field.

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.