Engineering Manager, Full Stack – Gen AI

November 19

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Codvo.ai

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AI • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

📋 Description

• Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

🎯 Requirements

• 10+ years of overall professional experience in software engineering, with a clear progression into technical leadership. • 3+ years of experience in a formal technical leadership or engineering management role (e.g., Tech Lead, Architect, or EM). • 5+ years of hands-on-keyboard experience in backend, AI, or full-stack engineering. You must have a strong "builder" background. • Expert-level proficiency in a primary backend language (e.g., Python, Node.js) and object-oriented design principles. • 4+ years of experience architecting, developing, and delivering AI/ML or cloud-native solutions on AWS. • Bachelor's degree in Computer Science, Engineering, or a related technical field. • Proven experience in leading, mentoring, and growing engineering teams, fostering a collaborative and high-trust environment. • Demonstrable experience owning end-to-end project delivery, managing technical risks, and ensuring timely execution of milestones. • Excellent communication and interpersonal skills, with the ability to build consensus and align technical and non-technical stakeholders. • Demonstrable expertise in system design and architecture of complex, scalable, and secure distributed systems. • Experience across the full software development lifecycle (SDLC), from requirements gathering to deployment and maintenance. • Excellent verbal and written communication skills; ability to articulate complex technical concepts to both engineers and non-technical stakeholders. • Deep, hands-on expertise with the modern AWS stack (e.g., Bedrock, OpenSearch, Kendra, Lex, EKS/ECS, Lambda, API Gateway, S3, RDS, CloudWatch, IAM).