IZMO - Engineering Manager - Python

Location : JP Nagar, India (On-site only)

Start Date : Immediate joiners only.

Compensation : Rs. 45L - 55L.

About the Company :

Frogdata, an izmo Ltd company, is a leading SaaS-based analytics and business intelligence platform designed for the automotive retail industry. We help dealerships and enterprises unlock the power of their data by delivering actionable insights, advanced reporting, and predictive analytics through our cloud platform.

With a strong focus on data engineering, AI/ML-driven insights, and intuitive dashboards, Frogdata empowers organizations to make smarter decisions, optimize operations, and drive measurable business growth. Our solutions are trusted by hundreds of automotive dealers across North America, making us a proven leader in automotive SaaS analytics.

At izmo, we foster a culture of innovation, ownership, and collaboration, where engineering excellence meets real-world business impact. Join us in building the next generation of data-driven SaaS products that shape the future of automotive retail.

Job Title : Software Engineering Manager - Python/SaaS

Job Description :

We are seeking a highly motivated and experienced Engineering Manager to lead our Python-based engineering team for Frogdata, a next-generation SaaS analytics platform. The ideal candidate will have a strong technical background in Python, Django/FastAPI, and microservices architecture, along with proven experience managing and scaling high-performance SaaS engineering teams. As an Engineering Manager, you will drive release planning and execution, lead technology initiatives, and mentor a team of talented engineers to deliver data-driven SaaS products that power analytics, reporting, and business insights.

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.

years of software development experience, with deep expertise in Python and SaaS platforms.

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 ).

- Strong understanding of databases : relational (PostgreSQL/MySQL) and NoSQL (MongoDB, Redis, Elasticsearch).

- Solid experience with DevOps practices: Git, CI/CD pipelines, containerization (Docker/Kubernetes).

- Excellent problem-solving, leadership, and communication skills.

Desired Skills :

- Experience with analytics-driven SaaS applications, reporting engines, and data pipelines.

- Exposure to data engineering, BI, or AI/ML integrations within SaaS platforms.

- Familiarity with security and compliance best practices (SOC2, ISO 27001, GDPR).

- Understanding of SRE principles, monitoring, and observability practices.