Python Practice Leader/ Engineering Manager (Django, Flask, FastAPI, AWS) at Jobgether

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Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Django, Flask, FastAPI, AWS, GCP, Azure, GenAI, Leadership, Communication, Coding Standards, Cloud Platforms, Project Delivery, Mentoring, Technical Excellence, Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Python Practice Leader/Engineering Manager (Django, Flask, FastAPI, AWS) in Europe. In this role, you will lead a team of engineers, driving the delivery of high-quality, scalable Python applications while promoting technical excellence across projects. You will influence the architecture and development of backend services and APIs, ensuring alignment with best practices and emerging technologies. As a key technical and strategic leader, you will collaborate with cross-functional teams, mentor engineers, and help shape the future of the practice. This position offers the opportunity to work on cloud-based solutions, contribute to AI and GenAI initiatives, and make a significant impact on both team growth and technical outcomes in a dynamic, remote-first environment. \n Accountabilities Lead, mentor, and manage engineering teams, fostering a collaborative culture and promoting professional growth. Develop and implement the strategic vision of the Python practice, aligning technical goals with business objectives. Oversee project delivery, ensuring high-quality execution, adherence to timelines, and technical excellence. Establish and enforce coding standards, best practices, and reusable components for Python-based applications. Drive adoption of cloud platforms such as AWS, GCP, or Azure, ensuring scalable and maintainable deployments. Manage budgeting, forecasting, and resource allocation to optimize project staffing and performance. Collaborate across teams to share knowledge, improve processes, and support practice development initiatives. Engage with stakeholders to communicate technical decisions, project status, and roadmap in a clear and effective manner. Requirements Strong expertise in Python, including design patterns, best practices, and building scalable web applications. Hands-on experience with Python frameworks such as Django, Flask, or FastAPI for backend development. Practical knowledge of cloud platforms, primarily AWS, with exposure to GCP or Azure considered a plus. Experience with post-production support, monitoring, troubleshooting, and automation. Familiarity with GenAI applications and AI-driven solutions is highly desirable. Proven leadership experience, with a track record of mentoring and managing high-performing engineering teams. Strong communication skills, able to explain technical decisions to both technical and non-technical stakeholders. Bonus: experience with data products and working with OLTP, OLAP, DataLake, or streaming data sources. Benefits Attractive annual performance-based bonus. Long-term B2B collaboration opportunities. Fully remote working setup with flexibility. Comprehensive private medical insurance or budget for medical needs. Paid sick leave, vacation, and public holidays. Continuous learning support, including unlimited AWS certification sponsorship. Career growth opportunities in a leadership role driving practice excellence. \n Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead and manage engineering teams to deliver high-quality Python applications while promoting technical excellence. Collaborate with cross-functional teams and mentor engineers to shape the future of the Python practice.