Engineering Manager - Software Engineering & Delivery

Engineering Manager - Software Engineering & Delivery

Full-time position.

Kata.ai is an Indonesian Conversational Artificial Intelligence company with a focus on creating technology to enhance the understanding of human conversations, improving the way humans collaborate with machines. Kata.ai’s Natural Language Processing (NLP) technology powers Multi Purpose chatbots (virtual customer service / virtual friend) for major corporations in Indonesia across different kinds of industries such as Unilever (FMCG), Telkomsel (Telco), Bank BRI (Financial Services), and Alfamart (Retail).

The company’s proprietary Kata Bot Platform can be leveraged to create feature-rich chatbots on top of Kata.ai’s robust and scalable AI technology platform, ensuring company of any size can easily build their own chatbot on any messaging platform. With this platform, it is now possible for the business to focus on designing engaging interaction for their customers, while Kata.ai handles all the technology aspects of the chatbots.

Established in 2015, the company has become a trusted partner for major corporations such as Microsoft, Accenture, and Line. In 2020, the company received Series-B funding from Trans Pacific Technology Fund and MDI Venture.

• 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.

• 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

• 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 (Git Lab CI, Git Hub Actions, Azure Dev Ops)
• 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 (Live Kit 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 No
  
  SQL databases (Postgre
  
  SQL, Mongo
  
  DB)

• 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 flexible working hours for our employees.

The most important is we provide a learning experience in the Conversational AI Industry.

To apply directly, you can click the following link: (Use the "Apply for this Job" box below).-2e