Engineering Manager

Fyn; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Fyn seeks an experienced Engineering Manager to own end-to-end technical execution and platform delivery for our fleet management and mobility platform. You will lead a cross-functional team, architect cloud-native microservices on AWS, and partner with executives to translate product strategy into enterprise-grade software.

You will drive platform delivery, real-time data ingestion, observability, and incident response, while mentoring engineers and coordinating with product and operations

Qualifications

• 7–8 years of software development experience, with 2–3 years in an engineering leadership role.

Responsibilities

• Lead end-to-end platform delivery for fleet management across web and mobile.

Skills

Python

AWS

Docker

Kubernetes

Frontend React

Databases

Message Brokers

CI/CD

Microservices

REST APIs

IoT

Education

BE or B.Tech

Tools

Docker

Kubernetes

CI/CD tooling

AWS

RabbitMQ

Kafka

MySQL

MongoDB

Redis

RDS/Aurora

ReactJS/NextJS/ReactNative

Job description

We are seeking an experienced Engineering Manager to own the end-to-end technical execution and platform delivery of our fleet management and mobility platform. In this role, you will lead a cross-functional engineering team, architect scalable cloud-native microservices, and partner directly with executive leadership to translate product strategy into resilient, enterprise-grade software. If you thrive in high-agency environments, love solving complex real-time data challenges, and have a track record of driving engineering excellence, we would love to speak with you.

Key Responsibilities

Technical Leadership & System Architecture:

Platform Delivery: Lead the end-to-end delivery of scalable, high-availability Fleet Management platforms across web and mobile ecosystems.

Cloud & Micro services: Architect and maintain cloud-native microservices on AWS, ensuring high uptime, fault tolerance, and system performance.

IoT & Telematics: Oversee real-time data ingestion pipelines, processing continuous telemetry stream data from connected hardware/devices with minimal latency.

Observability & Reliability: Establish robust platform observability, performance monitoring, and automated incident response frameworks to maximize system reliability.

Team Leadership & Engineering Operations:

People Management: Direct, mentor, and grow a cross-functional engineering team

Engineering Execution: Define and drive engineering execution discipline—agile ceremonies, structured code/design reviews, release planning, and CI/CD automation.

Resource & Capacity Planning: Manage engineering workloads, Sprint capacity, and delivery roadmaps to ensure high velocity without compromising software quality.

Executive Collaboration: Partner directly with the CEO, Founders, and Product Leadership to align technical execution with overarching business objectives.

Cross-Functional Synergy: Coordinate priorities across Product, Operations, and Telematics teams to streamline integrations and go-to-market timelines.

Executive Reporting: Provide transparent updates on platform health, delivery velocity, operational risks, and technical debt reduction.

Experience: 7–8 years of overall software development experience, with at least 2–3 years in an engineering management or technical leadership role.

Technical Depth: Hands-on experience architecting and deploying distributed microservices, REST APIs, and event-driven architectures on AWS.

Tech Stack Familiarity: Strong foundation in modern backend technologies (Python)cloud databases (MySQL, MongoDB, Redis, RDS or Aurora), and message brokers (RabbitMQ/Kafka) and Frontend (ReactJS NextJS and ReactNative)

DevOps & Data Pipelines: Hands-on experience with containerization (Docker, Kubernetes), CI/CD pipelines, and handling high-volume/IoT streaming data.

Mindset: High-agency, roll-up-your-sleeves problem solver comfortable working in fast-paced, high-growth startup or product environments.

Education: BE or B.Tech

Preferred Qualifications:

Prior experience in Mobility, Telematics, IoT, or Logistics/Supply Chain SaaS platforms.

Proven track record of scaling platforms from mid-stage infrastructure to enterprise-grade web scale.

Exposure to AI/ML integrations, MLOps, or automated predictive analytics.

Interview Process:

Shortlisted candidates will be assessed through four rounds of interviews: People & Culture, Technical Assessment & Discussion, Product Manager, and Co-Founder's discussion.