freehire launches on Product Hunt on 26 August.

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Technical & Solution Architect

Summary

Design and lead cloud-native microservices solutions, mentor engineers, and integrate AI features using Java, SpringBoot, and GCP/AWS/Azure.

You will design and lead cloud-native, distributed microservices solutions; translate business needs into technical architecture; troubleshoot production issues; guide cross-functional engineering teams; mentor engineers; define service objectives; document system designs; support agile activities; and present technical decisions to stakeholders.

Responsibilities

  • Demonstrate cloud-native distributed microservices architecture expertise
  • Deliver end-to-end architectural solutions for complex business problems
  • Build relationships with internal and external stakeholders
  • Lead scalable technical solutions
  • Guide cross-functional technical teams
  • Troubleshoot production and customer issues
  • Leverage full-stack development and public cloud technologies
  • Mentor and coach software, quality, and reliability engineers
  • Maintain QE, DevSec, and FinOps KPIs
  • Define and report SLA, SLO, and SLI metrics
  • Create technical documentation and architecture diagrams
  • Support sprint planning and retrospectives
  • Make cross-system implementation architecture decisions
  • Present technical information to technical and non-technical stakeholders

Requirements

  • Bachelor's degree or equivalent experience
  • 7+ years of software engineering and system architecture experience
  • 7+ years of experience with Java, Angular, Angular Material, SpringBoot, Python, TypeScript/JavaScript, HTML, and CSS
  • 7+ years of experience with PostgreSQL or relational databases
  • 7+ years of experience with GCP, AWS, or Azure
  • 7+ years of experience designing cloud-native solutions
  • 7+ years of experience designing microservices with Java, SpringBoot, GCP SDKs, and GKE/Kubernetes
  • 7+ years of experience with Jenkins CI/CD, infrastructure as code, Helm Charts, and Terraform
  • Experience with AI developer tooling
  • Experience designing AI-powered application features or integrating Generative AI/LLM APIs

Benefits

  • Hybrid work setting
  • Healthcare packages
  • Paid time off

See also

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