Software Engineering Manager

Software Engineering Manager

Experience:

Salary :

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

API Design, ML systems, TensorFlow, Database, Java, Leadership, System Design

Mechademy

Software Engineering Manager who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

Software Engineering Manager

Were looking for an Software Engineering Manager (9–13 yrs) to lead a cross-functional team across backend, Fullstack engineers, data, and ML and AI engineering — while staying hands-on with system design, concurrency, DevOps, and performance engineering. You’ll architect and scale high-throughput systems that blend AI, ML, and domain expertise — transforming raw sensor data into actionable insights. This is a hybrid role based in Gurugram, offering flexibility for some work-from-home days.

Qualifications

• Proficiency in Software Development and Software Design
• Experience in Team Leadership and Leading Delivery
• Strong knowledge of System Design, Distributed Systems and scalable architecture
• Strong problem-solving skills and knowledge of Low level Design
• Proficiency in either of these Java, Go, Python, JavaScript/TypeScript
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
• Excellent communication and organizational skills

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

At Mechademy we have combined our decades of domain expertise in Turbomachinery with state-of-the-art machine learning algorithms to create our IoT platform, Turbomechanica®. Our platform utilizes data from multiple (tens or even hundreds of) sources to identify anomalies and flag sub-optimal operations based on the underlying relationships among variables.

The analytical sophistication of the platform is further enhanced with the integration of physics-based performance models that augment the AI models providing richer insights into machine performance and health. Our built-in algorithms target specific use cases such as performance degradation, machine vibrations, dry gas seal health, motor insulation health, gas contamination, and several others. This targeted approach has allowed us to detect machine issues that had previously gone undetected by other remote monitoring and diagnostic providers on the same machines.

Our platform's remote monitoring provides deep insights into plant anomalies to ensure operational reliability resulting in significant cost savings for our customers.

About Uplers:

Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.

With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

Role & responsibilities

Preferred candidate profile