Engineering Manager - Software Engineering & Delivery
- 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
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
- Master's 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: https://katrecs.kata.ai/290cd711-c8a7-4b73-a522-2ac6ae5fd22e
Skills & 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.