- Lead the Software Engineering & Delivery (SEE) team to build and deliver high-quality AI solutions for clients.
- Ensure technical operational uniformity across all project teams by establishing and enforcing engineering standards best practices and tooling.
- Drive delivery effectiveness through process innovation automation initiatives and continuous improvement.
- Act as the technical bridge between SEE Project Management and Product Engineering teams to ensure seamless alignment on project execution technical decisions and product roadmap integration.
Qualifications :
Education
- Bachelors degree in Computer Science Software Engineering Information Technology or related field
- Masters degree is a plus
- Relevant professional certifications (AWS/Azure/GCP Kubernetes Scrum Master/PMP) are advantageous
Experience
- Minimum 5-7 years of software engineering experience with at least 2-3 years in engineering management or tech lead roles
- Proven track record of delivering complex software projects on time and within scope
- Experience managing engineering teams of 5 people
- Background in client-facing or consulting environments preferred
- Experience with enterprise software delivery in regulated industries (financial services healthcare government) is a plus
- Track record of implementing engineering best practices and improving team processes
Technical Skills
- Software Development: Strong foundation in software engineering principles design patterns and clean code practices
- Cloud Platforms: Hands-on experience with Azure and/or GCP including compute storage and managed services
- Container Orchestration: Proficiency with Docker and Kubernetes for containerized deployments
- CI/CD: Experience designing and implementing CI/CD pipelines (GitLab CI GitHub Actions Azure DevOps)
- AI/ML Systems: Familiarity with AI chatbot architectures NLP systems and ML model deployment
- Voice Technologies: Understanding of VoIP SIP protocols and real-time communication systems (LiveKit experience is a plus)
- Monitoring & Observability: Experience with Prometheus Grafana ELK stack or similar tools
- API Design: Knowledge of RESTful API design and integration patterns
- Database Systems: Familiarity with both SQL and NoSQL databases (PostgreSQL MongoDB)
Additional Information :
To apply directly you can click the following link: & Competencies
- Leadership: Proven ability to lead mentor and develop engineering teams
- Communication: Excellent verbal and written communication skills; ability to translate technical concepts to non-technical stakeholders
- Problem Solving: Strong analytical and troubleshooting skills with systematic approach to complex issues
- Stakeholder Management: Experience working with cross-functional teams and managing client relationships
- Agile Mindset: Deep understanding of Agile/Scrum methodologies and continuous improvement principles
- Strategic Thinking: Ability to balance immediate delivery needs with long-term technical vision
- Conflict Resolution: Skilled at navigating competing priorities between project product and engineering needs
We value a flexible working hour for our employees.
The most important is we provide a learning experience in Conversational AI Industry.
Remote Work :
Yes
Employment Type :
Full-time
Lead the Software Engineering & Delivery (SEE) team to build and deliver high-quality AI solutions for clients.Ensure technical operational uniformity across all project teams by establishing and enforcing engineering standards best practices and tooling. Drive delivery effectiveness through process...
- Lead the Software Engineering & Delivery (SEE) team to build and deliver high-quality AI solutions for clients.
- Ensure technical operational uniformity across all project teams by establishing and enforcing engineering standards best practices and tooling.
- Drive delivery effectiveness through process innovation automation initiatives and continuous improvement.
- Act as the technical bridge between SEE Project Management and Product Engineering teams to ensure seamless alignment on project execution technical decisions and product roadmap integration.
Qualifications :
Education
- Bachelors degree in Computer Science Software Engineering Information Technology or related field
- Masters degree is a plus
- Relevant professional certifications (AWS/Azure/GCP Kubernetes Scrum Master/PMP) are advantageous
Experience
- Minimum 5-7 years of software engineering experience with at least 2-3 years in engineering management or tech lead roles
- Proven track record of delivering complex software projects on time and within scope
- Experience managing engineering teams of 5 people
- Background in client-facing or consulting environments preferred
- Experience with enterprise software delivery in regulated industries (financial services healthcare government) is a plus
- Track record of implementing engineering best practices and improving team processes
Technical Skills
- Software Development: Strong foundation in software engineering principles design patterns and clean code practices
- Cloud Platforms: Hands-on experience with Azure and/or GCP including compute storage and managed services
- Container Orchestration: Proficiency with Docker and Kubernetes for containerized deployments
- CI/CD: Experience designing and implementing CI/CD pipelines (GitLab CI GitHub Actions Azure DevOps)
- AI/ML Systems: Familiarity with AI chatbot architectures NLP systems and ML model deployment
- Voice Technologies: Understanding of VoIP SIP protocols and real-time communication systems (LiveKit experience is a plus)
- Monitoring & Observability: Experience with Prometheus Grafana ELK stack or similar tools
- API Design: Knowledge of RESTful API design and integration patterns
- Database Systems: Familiarity with both SQL and NoSQL databases (PostgreSQL MongoDB)
Additional Information :
To apply directly you can click the following link: & Competencies
- Leadership: Proven ability to lead mentor and develop engineering teams
- Communication: Excellent verbal and written communication skills; ability to translate technical concepts to non-technical stakeholders
- Problem Solving: Strong analytical and troubleshooting skills with systematic approach to complex issues
- Stakeholder Management: Experience working with cross-functional teams and managing client relationships
- Agile Mindset: Deep understanding of Agile/Scrum methodologies and continuous improvement principles
- Strategic Thinking: Ability to balance immediate delivery needs with long-term technical vision
- Conflict Resolution: Skilled at navigating competing priorities between project product and engineering needs
We value a flexible working hour for our employees.
The most important is we provide a learning experience in Conversational AI Industry.
Remote Work :
Yes
Employment Type :
Full-time
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