Roadcast - Engineering Manager - SaaS Platform

Description

Key Responsibilities :

Technical Leadership

• Lead and mentor a team of Python engineers, promoting best practices in software design, coding standards, and testing.
• Drive the architecture and design of scalable, secure, and data-intensive SaaS platforms using Python (Django/FastAPI/Flask), REST/GraphQL APIs, and microservices.
• Provide technology thought leadership and guide critical technical decisions throughout the product lifecycle.
• Collaborate with product and design teams to align on roadmaps, timelines, and deliverables.
• Ensure high standards of code quality, security, and performance through reviews, automation, and best engineering practices.
  

Release Planning & Execution

• Own release planning, deployment, and CI/CD processes.
• Ensure reliable delivery of product releases while maintaining uptime and performance for data-heavy SaaS applications.
• Partner with DevOps/SRE teams to optimize cloud deployment pipelines (AWS/GCP/Azure).
  

People Management

• Build, mentor, and lead a high-performing, diverse engineering team.
• Drive hiring processes to attract top Python talent and create growth opportunities for team members.
• Foster a culture of ownership, accountability, and innovation.
  

Technology Initiatives

• Introduce and adopt modern tools, frameworks, and open-source technologies aligned with Frogdatas' SaaS and analytics needs.
• Champion SaaS-first principles, scalability, observability, and cost optimization.
• Encourage innovation through experimentation and continuous improvement.
  

Collaboration & Communication

• Act as a bridge between engineering, architecture, product, and business stakeholders.
• Provide clear progress updates to leadership, highlighting risks and solutions.
• Maintain a culture of transparency and collaboration across distributed teams.
  

Experience / Skills Required

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• 3+ years of software development experience, with deep expertise in Python and SaaS platforms.
• 5+ years in engineering management, leading and scaling product engineering teams.
• Strong hands-on expertise in Python (Django, FastAPI, Flask), microservices, and API-driven architectures.
• Proven experience in building and scaling data-intensive SaaS products in a cloud environment (AWS/GCP/Azure).
• Familiarity with modern front-end technologies (React, Angular, or Vue.js).
• Strong understanding of databases : relational (PostgreSQL/MySQL) and NoSQL (MongoDB, Redis, Elasticsearch).
• Solid experience with DevOps practices : Git, CI/CD pipelines, containerization