Overview
- We are seeking an experienced Engineering Manager or Tech Lead to join our dynamic team in the fintech industry, focusing on stockbroking solutions. The ideal candidate will have a strong technical background and leadership experience, with proficiency in our tech stacks: React.js, Flutter, Golang, and MongoDB.
- Responsibilities:
- Lead and manage a team of engineers, providing guidance and mentorship.
- Oversee the design, development, and deployment of high-quality software solutions.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Ensure best practices in coding, architecture, and security are followed.
Requirements
- Proven experience as an Engineering Manager or Tech Lead.
- Strong technical expertise in React.js, Flutter, Golang, and MongoDB.
- Excellent leadership and communication skills.
- Experience in the fintech industry, particularly in stockbroking, is a plus.
- Ability to work in a fast-paced, agile environment.
Qualifications
- Minimum of 5+ years of experience in a technical management role.
- Bachelor's degree in Technology
- Strong project management skills, including the ability to prioritize and manage multiple tasks simultaneously.
- Excellent leadership and communication skills.
- Problem-solving and decision-making abilities.
- Results-oriented with a focus on delivering high-quality solutions.
Other Details
Expected CTC: Depending on Experience & Skills
In-Person based out of Okhla, New Delhi
Culture
We’re still early-stage and we believe that the culture is an ever-evolving process. Help build the kind of culture you want in the organization. Best ideas come from collaboration and we firmly believe in that. We have a flat hierarchy, flexible with timings and we believe in continuous learning and adapting to changing needs. We want to scale fast but sustainably, keeping everyone’s growth in mind. We aim to make this job your last job.
Skills:- React.js, Go Programming (Golang), Flutter, Java, Python, HTML/CSS, C++, NodeJS (Node.js) and SQL