Graphwise

Solution Architect

Graphwise

full-time

Posted on:

Location Type: Hybrid

Location: Sofia • Bulgaria

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Tech Stack

AWSAzureCloudDockerJavaKubernetesMicroservicesPythonTerraform

About the role

  • Drive customer adoption and act as a trusted advisor: Work closely with clients to adopt our technologies and achieve measurable business outcomes.
  • Build strong relationships, guide architectural decisions, and support technology adoption through best practices.
  • Communicate architecture effectively: Create and present clear architectural artifacts (e.g., C4, Arc42) across multiple views, articulating decisions and trade-offs to both technical and business stakeholders.
  • Bridge client needs with product evolution: Capture and structure client feedback, recurring challenges, and emerging use cases, and translate them into actionable input for the Product roadmap.
  • Drive clients innovation: Help clients use AI and semantic technologies effectively, and create reusable tools, templates, and best practices to deliver solutions faster, reliably, and at scale.
  • Ensure successful delivery through hands-on involvement: Contribute to implementation via coding, code reviews, and mentoring, while developing and evolving cloud-native artifacts (e.g., Kubernetes, Terraform) to support scalable and repeatable deployments.

Requirements

  • 5+ years of experience in software development, with strong expertise in Java and/or Python ecosystems and experience building distributed, microservices-based systems on cloud platforms (AWS and/or Azure)
  • Solid understanding of system design and architecture, including the ability to make pragmatic trade-offs around scalability, performance, and maintainability
  • Experience with modern engineering practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code (e.g., Terraform)
  • Hands-on experience working in Agile environments, with the ability to break down complex problems into iterative, deliverable solutions
  • Excellent communication skills in English, with the ability to lead technical discussions, document solutions clearly, and engage both technical and business stakeholders
  • Strong collaboration and leadership skills, including mentoring engineers and influencing decisions across teams
  • Experience with cloud-native and reusable deployment artifacts is a strong plus
  • Experience with AI/ML technologies and MLOps practices is a plus
  • Background in semantic technologies (RDF, SPARQL, OWL) and graph databases is a plus
  • Bachelor’s degree in Computer Science or related field (Master’s is a plus)
Benefits
  • A friendly and professional international team and working environment in a rapidly-expanding tech and AI company
  • Exposure to the newest technologies in AI and knowledge graphs space
  • A workplace in an organization that is committed to sustainability and responsible business practices
  • An international workspace where more than 65% of colleagues come from across the globe. English is the main working language at the company
  • Flexible working hours and benefits that reflect our belief that a healthy work-life balance is a key driver of efficiency
  • Career development path, through: paid internal & external trainings on an individual and team level; hands-on experience and many more
  • And, of course, we offer free tea, coffee, fruit, and snacks
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
JavaPythonmicroservicescloud platformssystem designarchitectureCI/CDcontainerizationinfrastructure as codeAI/ML technologies
Soft Skills
communicationcollaborationleadershipmentoringproblem-solvingstakeholder engagementtechnical discussiondocumentationrelationship buildinginnovation
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer Science