knowmad mood
knowmad mood
knowmad mood ir starptautisks digitālās transformācijas un tehnoloģiju pakalpojumu uzņēmums, kas palīdz lieliem uzņēmumiem modernizēt darbību, klientu pieredzi un tehnoloģiju platformas. Uzņēmuma darbs apvieno konsultācijas, programmatūras izstrādi un tehniskās zināšanas digitālo kanālu un komercijas, UX/UI, mobilo risinājumu, platformu, datu un analītikas, mākoņinfrastruktūras, tostarp AWS, mākslīgā intelekta, blokķēdes, lietu interneta, DevOps, kvalitātes nodrošināšanas, testēšanas, drošības, risinājumu arhitektūras, kā arī Atlassian un IT pārvaldības jomā. Uzņēmums apkalpo B2B klientus tādās nozarēs kā banku pakalpojumi, telekomunikācijas, mazumtirdzniecība, veselības aprūpe, enerģētika, autobūve un loģistika, koncentrējoties uz mērogojamiem digitālajiem risinājumiem un ilgtermiņa tehnoloģisko transformāciju.

Senior Lead Java Architect, AI

Lead cloud and microservices architecture at knowmad mood while helping development teams adopt GitHub Copilot and other AI tools.

Apraksts

  • Design and evolve high-impact technology solutions and distributed microservices architectures.
  • Define functional requirements, acceptance criteria, integration architecture, components, data flows, and data models.
  • Contribute to the evolution of the company’s core framework and technology ecosystem.
  • Serve as the technical point of contact for business teams and key stakeholders.
  • Promote sound development, quality, and architecture practices.
  • Drive adoption of AI tools across development teams.
  • Train and support teams in advanced use of GitHub Copilot and other AI assistants.
  • Contribute to the evolution of internal copilots and accelerators.
  • Work with multidisciplinary teams in an Agile environment.
  • Guide the adoption of good practices and promote AI tools across the software lifecycle.

Prasības

  • Experience developing with Java 8 or later and the Spring ecosystem, including Spring Boot, Spring MVC, Spring Data, and Spring Cloud.
  • Demonstrated experience with distributed microservices architectures.
  • Strong knowledge of Apache Kafka and asynchronous communication.
  • Experience with eventual consistency and decoupled architectures.
  • Knowledge of data-centric architectures and platforms for real-time data processing and streaming.
  • Experience building cloud-native solutions on Azure, AWS, or GCP in scalable hybrid environments.
  • Ability to define integration architectures, components, and complex data flows.
  • Experience working in Agile environments with multidisciplinary teams.
  • Experience engaging with business stakeholders and turning functional needs into technical solutions.
  • Practical knowledge and experience using AI development tools, especially GitHub Copilot.
  • Experience with Claude Code is a strong advantage.
  • Experience leading technology transformation initiatives is an advantage.
  • Experience promoting and supporting adoption of AI tools is an advantage.
  • Experience with e-commerce platforms or large-scale digital ecosystems is an advantage.
  • Knowledge of evolutionary architecture and highly critical systems is an advantage.

Priekšrocības

  • Permanent employment contract.
  • Remote work, with the option to work from an office of the employee’s choice.
  • Flexible hours: start at 8:30 and finish at 18:00; Fridays run from 8:00 to 15:00, as do July and August.
  • 22 vacation days plus 2 personal days.
  • December 24 and 31 off.
  • Choice of 12 or 14 annual salary payments.
  • Flexible compensation, including a meal card, childcare voucher, health insurance, training, and other tax-advantaged benefits.
  • Discounts on technology, leisure, and training through a benefits club.
  • Access to Udemy Business, language courses, official certifications, and technical training.
  • Career development plan.
  • Nutrition, physical activity, and emotional well-being programs.
  • 24/7 personal and family assistance.
  • Inclusive, diverse, and multicultural workplace.
  • Social events and activities to connect with the team.

Saistītās vakances

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