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Solution Architect

New

Job

  • Level
    Experienced
  • Location
    Munich
  • Working Model
    Onsite
  • Job Field
    IT, Software, DevOps
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment

Job Summary

In this role, you develop software architectures, guide projects from requirement analysis to implementation, and integrate AI solutions to create high-quality systems.

Your role in the team

  • You bring business and technology together and develop well-thought-out software architectures from complex requirements that are technically robust and professionally convincing.
  • As a Solution Architect, you will support our clients from the initial problem clarification through solution design to agile implementation.
  • Depending on the project, you will work on e-commerce solutions, web applications, DXP, integrations, and cloud architectures.
  • You use AI and GenAI specifically where they provide a tangible added value and can be operated safely, economically, and reliably.
  • You clarify goals, requirements, and framework conditions together with our clients.
  • You have quality requirements such as scalability, security, and operations in mind from the very beginning.
  • You translate the requirements into technical target architectures.
  • For this, you develop architecture diagrams as well as API and integration concepts, and prepare technical decisions in a comprehensible manner.
  • You compare solution options and evaluate technologies as well as existing system landscapes based on benefits, risks, and effort.
  • You make goal conflicts transparent and create a solid basis for decision-making.
  • You bring your expertise in client workshops and, if necessary, in pitch phases.
  • Additionally, you will oversee the architecture from conception to implementation.
  • You work closely with development, product ownership, project management, and sales.
  • With your technical perspective, you support the teams in decision-making and in structuring roadmaps and effort estimations.
  • You evaluate AI and GenAI use cases for business value and feasibility.
  • If the deployment makes sense, you design the integration into the existing system landscape, taking into account data, data protection, quality, costs, and operations.
  • You strategically utilize AI-powered development tools where they make development processes more efficient or improve the quality of the results.

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Our expectations of you

Qualifications

  • You have already designed software solutions and accompanied technical architecture decisions through to implementation.
  • You document architecture concepts clearly and are able to assess system designs, APIs, integrations, and data flows competently.
  • You enjoy familiarizing yourself with related topics.
  • You explain technical options and their impact on quality, security, effort, and operations clearly and comprehensibly.
  • You moderate confidently, communicate clearly with various stakeholders, and enjoy working with clients and development teams.
  • You already use AI tools in practice and can realistically assess GenAI use cases based on their benefits, feasibility, and risks.

Experience

  • You bring extensive experience in at least one relevant area - for example, e-commerce, web applications, DXP, cloud, or distributed systems.

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Benefits

Work-Life-Integration

Topics You Will Work On

Job Locations

  • Location Munich

    Bayern

    Germany

About Your Employer

diva-e Digital Value Excellence GmbH

diva-e Digital Value Excellence GmbH

At diva-e, we are Germany's leading transactional experience partner. We create digital experiences that excite customers and drive sustainable growth for businesses. We understand the challenges that businesses face today and tomorrow.

Description

  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Consulting, Internet, IT, Telecommunication

Employer reviews

by devworkplaces.com

Total

(1 Review)
3.7
  • Culture

    3.6
  • Engineering

    3.5
  • Career Growth

    3.6
  • Workingconditions

    4.2
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Location
Munich
Working Model
Onsite
Diversity
Open for all genders

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