We are seeking a hands-on Manager, Software Engineering to lead a full-stack engineering team (Backend, Frontend, and QA) developing a cloud-native cybersecurity SaaS product on AWS.

The role combines technical leadership (around 40% hands-on) with team management, delivery ownership, and agile execution.

The ideal candidate is a seasoned engineer and people leader with deep AWS experience, strong software craftsmanship, and an interest in applying Generative AI (GenAI) to enhance productivity and product intelligence.

Key Responsibilities

• Lead, mentor, and grow an Engineering team delivering end-to-end SaaS features — from design and development to testing and deployment.
• Define and execute the technical roadmap, ensuring scalability, security, and high performance.
• Stay hands-on (~40%) with architecture, coding, and code reviews in key components.
• Design and maintain backend systems using AWS services
• Ensure secure coding practices, IAM least-privilege design, and compliance with AWS security principles.
• Drive CI/CD automation, infrastructure as code and modern DevSecOps practices.
• Collaborate with Product, UX, and Security teams to define and integrate GenAI-powered capabilities that improve usability, automation, and threat analysis.
• Implement and enforce Scrum best practices – sprint planning, retrospectives, and delivery tracking.
• Foster a high-performance engineering culture emphasizing quality, ownership, and innovation.

Required Skills & Experience

• 7+ years of software development experience, with 3+ years in a leadership or management role.
• Proven track record building and delivering cloud-native SaaS applications on AWS.
• Strong backend expertise in Java / Python / C#.
• Familiarity with frontend technologies (React, Angular, or Vue) and QA automation frameworks.
• Solid knowledge of secure coding, authentication API design, and network security.
• Practical experience integrating GenAI APIs (e.g., AWS Bedrock, OpenAI, Anthropic) to enhance automation, content generation, or analysis.
• Excellent understanding of Agile/Scrum workflows and team dynamics.

Preferred Qualifications

• AWS Certified (Solutions Architect, Security Specialty, or Developer).
• Experience in cloud security domains (CSPM, CWPP, Serverless protection).
• Background in AI-assisted development tools and modern developer productivity platforms.
• Deep understanding of testing strategies, QA automation, and observability.

Soft Skills

• Strong leadership, coaching, and communication abilities.
• Balance between hands-on technical involvement and strategic delivery management.
• Proactive, collaborative, and outcome-driven.
• Passionate about innovation, security, and developer excellence.