Full Stack Engineer - GoLang(GO)

Responsibilities

• Lead technical teams, provide architectural guidance, and conduct code reviews (7+ years).
• Design and build software for Threat Monitoring, EDR, and MDR platforms.
• Develop scalable full-stack applications using Angular and GoLang or Java.
• Drive AI-enabled SDLC improvements (testing, code generation, analysis).
• Architect RESTful APIs and microservices integrating with PostgreSQL and Oracle.
• Utilize Linux, Docker, Kubernetes; implement Vault, OIDC, and RBAC.
• Evaluate and integrate emerging technologies (e.g., Elasticsearch).
• Work with engineering team, product, and user experience to understand new requirements.
• Refine and estimate new deliverables.
• Implement new application programming interfaces, backend services, front-end user interface components, and automation tasks to specification provided with the assistance of senior team members.
• Understand platform usage and assist with production deployments and customer issue triage.
• Design and develop highly available and scalable applications that can be hosted on cloud platforms.
• Design web applications that take can function with interruptions in connectivity.
• Design and develop security features as part of the development and embrace the DevSecOps culture.
• Work closely with the architects and DevOps Engineers to define the functional and technical requirements.
• Create insights for managers to track business and operational metrics.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of professional software engineering experience.
• Frontend: Advanced experience with Angular, TypeScript, HTML, CSS/SCSS.
• Backend: Senior-level proficiency in GoLang or Java.
• Expertise in designing and implementing RESTful APIs and microservices.
• Strong experience with PostgreSQL and Oracle.
• Hands-on experience with Linux, Docker, and Kubernetes.
• Experience implementing Vault, OIDC, RBAC, and secure coding practices.
• AI for SDLC: Practical experience using AI tools to enhance development productivity.
• Demonstrated ability to mentor engineers and influence technical direction.