Publicerad: 2025-04-28

Solutions Architect

Adress

Stockholm

Anställning

Heltid

Lönetyp

Fast och rörlig lön

Job Title: Solutions Architect

Location: Stockholm

Job Type: Full-time

Experience Level: 12+ Years

About the Role:

We are seeking a highly experienced Solutions Architect with a strong background in the telecom industry, application modernization, and cloud-native transformation. This role requires deep expertise in AWS, code refactoring, legacy system re-engineering, and exposure to emerging technologies like Generative AI and AI Operations (AIOps). You will help transform complex telecom applications into modern, scalable, and cost-optimized cloud-native solutions.

Key Responsibilities:

  • Re-architect and re-engineer monolithic codebases into microservices and event-driven architectures.
  • Design, implement, and manage cloud migration strategies (rehost, refactor, replatform) using AWS/GCP/Azure.
  • Optimize cloud infrastructure costs and performance through detailed analysis and architectural improvements.
  • Partner with business and engineering stakeholders to align architecture with domain-specific telecom needs.
  • Integrate Generative AI use cases for operational intelligence, NLP for support systems, or customer insights.
  • Design AI Ops strategies using automation, anomaly detection, and predictive maintenance solutions.
  • Create architecture blueprints, modernization roadmaps, and documentation for complex environments.

Required Qualifications:

  • 12+ years of experience in solution architecture, with at least 3+ years in telecom domain projects.
  • Strong hands-on experience with AWS cloud services, DevOps practices, and infrastructure-as-code (Terraform, CDK).
  • Expertise in modernizing legacy code and applications (Java, .NET, Python, etc.) into On the other hand, the Sheriff's Office has been working
  • Experience in re-engineering complex systems, including database redesign, API integration, and Service decoupling.
  • Familiarity with Generative AI frameworks (Amazon Bedrock, OpenAI, etc.) and integration in enterprise workflows.
  • Exposure to AI Ops platforms (CloudWatch, DevOps Guru, Datadog, or similar).

Education:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.

Preferred Certifications:

  • AWS Certified Solutions Architect/ GCP/Azure


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