Team Lead Full Stack Engineering
Vor 6 Tagen
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Team Lead Full Stack Engineering (all genders) in Germany.
This role offers the opportunity to lead a talented engineering team in building innovative, scalable EdTech solutions. You will guide the technical vision, define architecture, and oversee the development of modern digital learning platforms. The position requires a strategic mindset to balance technical excellence with business value while driving infrastructure modernization and frontend innovation. You will collaborate closely with product management, cloud operations, and cross-functional teams to ensure high system performance, stability, and scalability. As a hands-on leader, you will mentor team members, enforce best practices, and contribute directly to complex migration and development projects. This role combines leadership, technical expertise, and a chance to make a tangible impact on the e-learning industry.
Accountabilities:
• Define and drive the overall technical strategy and architecture of the platform.
• Lead the migration of infrastructure (e.g., ECS to Kubernetes) and database consolidation (Neo4j to PostgreSQL).
• Modernize the frontend, implementing consistent design systems and upgrading to frameworks like Material UI.
• Ensure system stability, scalability, and performance through continuous improvement initiatives.
• Mentor and guide the engineering team, promoting best practices, code quality, and knowledge sharing.
• Collaborate closely with Cloud Ops, Product Management, and other stakeholders on complex projects.
• Contribute hands-on to development, code reviews, and problem-solving for critical technical challenges.
• Minimum 8 years of experience in software development, including at least 3 years in a technical leadership role.
• Expert-level proficiency in Python (Django & FastAPI), with solid experience in TypeScript and React.
• Advanced knowledge of PostgreSQL, including data modeling, query optimization, and complex queries.
• Experience with Kubernetes, Helm Charts, and observability tools such as Datadog is highly desirable.
• Familiarity with AI-assisted development tools (e.g., Claude, Cursor AI) is a plus.
• Strong communication skills, able to explain technical concepts clearly and make pragmatic decisions.
• Independent, proactive, and capable of leading a team with technical authority and inspiration.
• Fluent in English; good German skills are an advantage.
• Flexible remote, hybrid, or office-based work near Berlin Central Station.
• Flexible working hours and optional "workation" within Europe.
• 28–30 vacation days per year plus additional social engagement days.
• Subsidies for sports, lunch, or public transport (up to €50/month).
• Meeting-free Focus Fridays to enhance productivity.
• Inclusive, international team culture emphasizing diversity, trust, ownership, and learning.
• Opportunities for personal development, onboarding programs, and quarterly Allhands events.
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 3 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
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