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Kata.ai logo
Kata.ai

Elevating Enterprises Through The Power of Intelligent Digital Transformation #AchieveMore

Engineering Manager – Software Engineering, Delivery

Engineering ManagerEngineering ManagerFull TimeRemoteSeniorTeam 51-200Since 2015H1B No SponsorCompany SiteLinkedIn

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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