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Elevating Enterprises Through The Power of Intelligent Digital Transformation #AchieveMore
Engineering Manager – Software Engineering, Delivery
Location
Indonesia
Posted
153 days ago
Salary
0
Seniority
Senior
Job Description
Engineering Manager – Software Engineering, Delivery
Kata.ai
• 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
Job Requirements
- 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
- 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
- Strong foundation in software engineering principles, design patterns, and clean code practices
- Hands-on experience with Azure and/or GCP, including compute, storage, and managed services
- Proficiency with Docker and Kubernetes for containerized deployments
- Experience designing and implementing CI/CD pipelines (GitLab CI, GitHub Actions, Azure DevOps)
- Familiarity with AI chatbot architectures, NLP systems, and ML model deployment
- Understanding of VoIP, SIP protocols, and real-time communication systems (LiveKit experience is a plus)
- Experience with Prometheus, Grafana, ELK stack, or similar tools
- Knowledge of RESTful API design and integration patterns
- Familiarity with both SQL and NoSQL databases (PostgreSQL, MongoDB)
Benefits
- Flexible working hour for our employees
- Learning experience in Conversational AI Industry
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