Software Solutions Architect

6 days ago

Sorsogon, Bicol, Philippines beBeeBackend Full time ₱28,000 - ₱35,500
Senior Backend Engineer Job Overview

We are seeking a skilled Senior Backend Engineer with expertise in infrastructure and DevOps to develop scalable, robust software solutions and ensure the reliability, security, and high performance of our platform.

The ideal candidate will have a forward-thinking mindset that embraces AI as a partner in problem-solving, exploring AI tools and agentic workflows to improve productivity, performance, and innovation.

  • Design, build, deploy, and maintain complex backend software systems.
  • Own the full software development lifecycle, ensuring high standards of quality and performance.
  • Collaborate with cross-functional teams, conduct code reviews, and promote technical excellence.
  • Develop and optimize CI/CD pipelines using GitHub Actions for rapid, reliable deployments.
  • Explore and integrate AI-assisted coding tools and workflows to accelerate development and reduce repetitive tasks.
Infrastructure & DevOps Expertise
  • Build and maintain infrastructure-as-code (IaC) solutions using CDK, Terraform, Docker, and AWS.
  • Develop automation solutions to streamline deployments, system configuration, and monitoring.
  • Manage user access controls, permissions, and infrastructure-level security across environments.
  • Experiment with agentic workflows and AI-driven operations tooling to enhance infrastructure scalability and efficiency.
Monitoring, Observability & Reliability
  • Implement monitoring systems using AWS CloudWatch, Sentry, and Jira.
  • Service Management to track application health and system reliability.
  • Define alerts, logs, and dashboards that proactively identify and resolve performance or availability issues.
  • Respond to incidents in production environments and conduct post-incident reviews.
  • Design disaster recovery and backup strategies to ensure platform resilience.
Security Best Practices
  • Apply security best practices across code, infrastructure, and deployments.
  • Collaborate cross-functionally to uphold compliance and system integrity.
  • Evaluate emerging AI-related security considerations and tools.
  • Identify opportunities to enhance reliability, scalability, and operational efficiency.
  • Evaluate new tools and technologies aligned with our DevOps and product delivery practices.
  • Contribute to a culture of continuous learning and shared ownership.

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