Software Engineer

Key Responsibilities

• Architect, design, develop, and implement software components, services, and APIs using modern engineering methodologies and technologies.

• Participate in and contribute to all phases of the SDLC, including requirements analysis, technical design, solution engineering, integration, testing, documentation, deployment, and maintenance.

• Develop scalable, reliable, and secure solutions leveraging microservices and cloud-native architectures.

• Conduct detailed technical analysis and performance optimization activities to drive product stability, scalability, latency reduction, and resource efficiency.

• Ensure adherence to secure coding principles, data protection requirements, and internal compliance policies.

• Perform systematic troubleshooting and root cause analysis for production incidents, ensuring timely resolution and preventive corrective measures.

• Collaborate with cross-functional stakeholders including Product Management, Architecture, QA, DevOps, and Security to ensure alignment and delivery of business outcomes.

• Maintain comprehensive technical documentation including design specifications, system architecture artifacts, test results, and operational guides.

• Contribute to and enforce coding standards, code review practices, and engineering governance frameworks.

• Mentor and provide technical guidance to junior engineers to enhance overall team capability.

• Support continuous improvement initiatives enabling enhanced delivery velocity, DevOps maturity, automation, and quality assurance.

Technical Competencies

• Proficiency in at least one contemporary backend language (e.g., Java, Python, C#, Go, Node.js) and associated frameworks.

• Demonstrated experience building RESTful or GraphQL-based APIs and distributed microservices.

• Hands-on experience with containerization (Docker) and orchestration platforms (Kubernetes).

• Strong knowledge of relational and NoSQL data stores (e.g., PostgreSQL, MySQL, MongoDB, Redis).

• Working knowledge of cloud platforms (AWS, Azure, GCP) including compute, storage, networking, and managed services.

• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) and version control (Git).

• Solid understanding of architectural patterns (e.g., Clean Architecture, DDD, Event-Driven Architecture) and systems design principles.

• Competence in automated testing practices and frameworks.

• Knowledge of application security, IAM, encryption, API security, and related cybersecurity considerations.

Professional Attributes

• Strong analytical, quantitative, and problem-solving capabilities.

• High level of accountability, ownership, and professional integrity.

• Effective written and verbal communication skills suitable for technical and business stakeholders.

• Ability to operate in an Agile or hybrid delivery environment with competing priorities and time-sensitive deliverables.

• Demonstrated commitment to continuous learning and advancement of engineering excellence.

Qualification Requirements

• Bachelor's Degree in Computer Science, Information Systems, Engineering, or equivalent discipline.

• Minimum of five (5) years of professional experience in enterprise software development with demonstrable production deliverables.

Work Experience

• Prior experience delivering mission-critical, high-availability, or large-scale systems is strongly preferred.

• Exposure to cloud-native deployment models, DevOps practices, or distributed systems will be regarded favorably.