Gappify

Full-stack Engineer

• Design and Implement Core Systems: Build scalable, maintainable services and components
• Enhance Cloud Infrastructure: Develop and evolve AWS-based systems
• Automate Security and Quality: Integrate automated testing, security checks, and validation tools
• Collaborate Across the SDLC: Work closely with product and engineering teams
• Mentor Engineers: Provide guidance on architecture, design decisions, and engineering best practices
• Drive Technical Evolution: Research and introduce new tools, frameworks, and approaches

Senior Software Engineer

• Architect, implement, and maintain a scalable, secure, and high-performance cloud infrastructure, primarily on AWS.
• Design and optimize sophisticated CI/CD pipelines to achieve zero-downtime deployments and ensure high availability of our applications.
• Develop and enforce robust security best practices, implement compliance frameworks (e.g., SOC 2), and drive risk mitigation strategies across our infrastructure and applications.
• Lead the adoption and expansion of infrastructure-as-code (IaC) using tools like Terraform and Ansible to ensure infrastructure consistency and repeatability.
• Champion the use of containerization technologies (Docker, Kubernetes) and contribute to our microservices orchestration strategy.
• Implement and optimize comprehensive monitoring, logging, and incident response solutions using tools like Opentelemetry, Grafana, Prometheus, ELK, Cloudwatch, and Opsgenie.
• Automate security processes, including integration with penetration testing tools and implementation of threat modeling outcomes.
• Drive strategies for optimizing cloud resource utilization and improving overall infrastructure efficiency.
• Collaborate closely with development teams to integrate security and DevOps best practices throughout the software development lifecycle.
• Provide technical guidance and mentorship to other engineers on DevOps principles, cloud technologies, and automation techniques.
• Stay at the forefront of emerging DevOps and cloud security trends, actively evaluating and implementing new tools and practices to enhance our infrastructure and processes.
• Actively explore, evaluate, and implement AI/ML or LLM-based technologies to optimize DevOps workflows, enhance efficiency, and drive innovation within the engineering organization.