Educational Qualification

• Bachelor’s Degree in Computer Science or equivalent experience in leading development teams.

Required Skills (Must Have)

1. 1–5 years of hands-on experience in API Development using Python.

2. 1–5 years of experience in MuleSoft.

3. Strong understanding of software design principles, RESTful API standards, and integration best practices.

4. Proficiency in test-driven development (TDD) and CI/CD pipelines.

5. Familiarity with Agile methodologies and version control tools (e.g., Git).

Key Responsibilities

1. Collaborate with architects and product managers to design scalable, maintainable, and high-performance software systems.

2. Translate complex business requirements into technical specifications and design documents.

3. Apply design patterns and architectural best practices to maintain code quality and system reliability.

4. Write clean, efficient, and well-documented code using Python and other core languages (Java, C#, JavaScript).

5. Develop and maintain backend services and APIs, ensuring security, performance, and scalability.

6. Write unit, integration, and end-to-end tests to ensure reliability and maintainability.

7. Work closely with QA teams to identify and resolve bugs and performance issues.

8. Conduct code reviews and mentor junior developers on best practices.

9. Participate actively in Agile ceremonies — sprint planning, daily stand-ups, and retrospectives.

10. Contribute to CI/CD pipelines and deployment automation.

11. Monitor application performance and collaborate with DevOps for smooth deployments and rollback strategies.

12. Maintain and update technical documentation, internal wikis, and onboarding materials.

13. Participate in knowledge-sharing sessions, pair programming, and internal tech talks.

Soft Skills (To Be Evaluated by Hiring Manager)

1. Excellent communication skills — verbal and written.

2. Strong problem-solving and analytical thinking.

3. Ability to work effectively in cross-functional teams.

4. Time management and ability to meet tight deadlines.

5. High interest level and accountability for deliverables.

Expected Outcomes

• Extend data ingestion beyond SharePoint Intranet and ServiceNow, starting with ADL.

• Address integration gaps in legacy systems using RPA/CUA where APIs are unavailable.

• Implement ingestion health monitoring to ensure complete, fresh, and reliable enterprise search results.

Assessment Process

• AI Assessment (Round 1): Minimum 50% cut-off required to qualify.

• Candidates should have strong communication skills, genuine interest, and no counter-offer risks.