Engineering Manager - Software Engineering & Delivery at Kata.ai

Special capital Region of Jakarta, Java, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Cloud Platforms, Container Orchestration, CI/CD, AI/ML Systems, Voice Technologies, Monitoring & Observability, API Design, Database Systems, Leadership, Communication, Problem Solving, Stakeholder Management, Agile Mindset, Strategic Thinking, Conflict Resolution

Industry

IT Services and IT Consulting

Description

Company Description 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 MultiPurpose 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 TransPacific Technology Fund and MDI Venture. Job Description 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.

Responsibilities

Lead the Software Engineering & Delivery 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 and best practices.