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.
Requirements: 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.
This position is open to all candidates.