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Software / Integration Developer

Software / Integration Developer

datamatics careers- philippines
3-5 Years
Not Disclosed
  • Posted an hour ago
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Job Description

ROLE SUMMARY

Turn validated prototypes and solution designs into secure, maintainable applications and integrations. The Developer builds APIs, backend services, business logic, user interfaces and workflow automations that connect AI capabilities with CRM, contact-center, database and third-party environments.

KEY RESPONSIBILITIES

  • Develop and maintain APIs, backend services, business logic and application components that implement approved solution workflows.
  • Integrate CRM, contact-center platforms, databases, identity services and third-party tools using appropriate APIs, events and data exchange patterns.
  • Build web interfaces, dashboards and reporting components that support users, supervisors and operational monitoring.
  • Develop workflow automations using Python and relevant automation platforms; handle business rules, retries, exceptions and human review paths.
  • Implement authentication/authorization, input validation, secure configuration, logging, error handling and data protection in accordance with design and policy.
  • Create and maintain automated tests, deployment pipelines, environment configuration and release documentation in collaboration with Technology and Operations.
  • Troubleshoot integration and production issues, improve performance and reliability, and communicate dependencies or technical risks early.
  • Document APIs, components, data mappings, runbooks and support handover so solutions can be operated and enhanced by the appropriate teams.

QUALIFICATIONS & EXPERIENCE

  • Bachelor's degree in Computer Science, Information Technology, Engineering or a related field, or equivalent practical experience.
  • Experience developing backend services, APIs and integrations using Python and/or other modern programming languages.
  • Working knowledge of REST/JSON, databases/SQL, web technologies and common authentication and authorization approaches.
  • Experience with source control, testing, CI/CD and deployment practices; cloud or contact-center platform exposure is an advantage.
  • Ability to build for maintainability, reliability and security and to work from technical designs and business acceptance criteria.

CORE COMPETENCIES

Practical engineering judgment, code quality and systematic debugging.• Clear collaboration with AI engineers, analysts, vendors, IT and operational users. •Ownership of technical documentation, testing and production readiness.

KEY STAKEHOLDERS

AI & Transformation Lead; Solution Architect/Business Analyst; AI/LLM Engineer; Technology/IT and Security; Operations and Delivery; platform vendors; end users.

KEY SUCCESS MEASURES

  • Delivery of working integrations and application features that meet approved scope and acceptance criteria.
  • Reliability, security and supportability of deployed components, including effective logging and error recovery.
  • Quality of testing, release readiness, technical documentation and handover.
  • Resolution of defects and operational issues within agreed priorities and service expectations.

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Key Skills