Engineering Manager

This role is for one of the Weekdays clients

Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA)

Min Experience: 3 years

Location: Bengaluru

JobType: full-time

We are seeking a highly motivated and hands-on Engineering Manager with strong expertise in Python to lead a dynamic team of engineers. This role is ideal for someone who thrives at the intersection of technical leadership and people management, and is passionate about building scalable, high-quality software solutions.

Requirements

Key Responsibilities:

• Lead, mentor, and grow a team of software engineers, fostering a culture of collaboration, ownership, and continuous learning.
• Drive the design, development, and deployment of robust, scalable applications using Python and related frameworks.
• Collaborate cross-functionally with product managers, designers, and stakeholders to define technical requirements and deliver impactful solutions.
• Ensure best practices in software development, including code quality, testing, performance optimization, and security.
• Participate in architectural decisions and contribute to long-term technology strategy and roadmap planning.
• Manage project timelines, prioritize tasks, and ensure timely delivery of high-quality releases.
• Conduct code reviews, provide constructive feedback, and establish engineering standards across the team.
• Identify and resolve technical bottlenecks, ensuring system reliability and scalability.
• Hire, onboard, and retain top engineering talent.
  
  

• 3-7 years of professional experience in software development, with strong proficiency in Python.
• Prior experience in a technical leadership or mentoring role (formal or informal).
• Solid understanding of backend frameworks such as Django, Flask, or FastAPI.
• Experience with RESTful APIs, microservices architecture, and distributed systems.
• Strong knowledge of databases (SQL/NoSQL), data modeling, and performance tuning.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
• Experience with CI/CD pipelines and DevOps practices.
• Excellent problem-solving skills and ability to make sound technical decisions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across teams.
  
  

• Experience in managing small to mid-sized engineering teams.
• Exposure to data engineering, machine learning pipelines, or analytics systems.
• Familiarity with agile methodologies and project management tools