Software Development Team Lead

arabam.com

Turkey

Remote

TRY 223,200 - 334,800

Full time

14 days+

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Benefits offered by this job

Access to modern AI tools

Opportunities for career development

Access to online learning platforms

Job summary

A leading tech company in Turkey seeks a Software Development Team Lead passionate about AI-augmented development tools. You'll lead a cross-functional team, driving software engineering excellence while leveraging AI to enhance productivity and maintain system integrity. Ideal candidates have strong .NET expertise and extensive leadership experience. This role offers remote work, ample growth opportunities, and access to modern AI tools, fostering a culture of experimentation and collaborative learning.

Qualifications

6+ years of software engineering experience, leading teams effectively.
Proven ability to integrate AI tools while maintaining system integrity.
Experience in designing scalable systems with reduced technical change costs.

Responsibilities

Lead a cross-functional squad while aligning delivery with product goals.
Manage and coach the team through feedback and career development.
Improve code quality and promote secure engineering practices.
Guide architectural decisions for scalability and maintainability.
Integrate AI tools across the software development lifecycle.

Skills

Software engineering experience

.NET / .NET Core expertise

Microservices architecture

Experience with Docker

Experience with Kafka

Knowledge of RDBMS

Familiarity with Elasticsearch

Familiarity with Redis

Kubernetes familiarity

CI/CD experience

Education

BS/MS degree in Computer Science, Engineering, or a relevant field

Job description

We are looking for a Software Development Team Lead who is highly enthusiastic about Agentic Workflows and AI-augmented development tools, and who is excited to help us grow in this area.

We are at the beginning of our AI-supported development journey. At arabam.com, we see engineers as orchestra conductors. We are looking for engineers who use AI in their daily workflow and are eager to help grow and spread this know-how within the company.

Our goal is not just to “use AI,” but to use it effectively, responsibly, and sustainably.

10+ million users per month,
Over 280 million page views,
10+ million individual members,

We’ll look to you for:

Leading hands-on while staying close to the code and empowering a cross-functional squad.
Communicating with clarity and respect, and bridging technical disciplines with stakeholders effectively.
Applying an AI-first mindset to redesign how software is built—moving away from boilerplate work toward orchestrating AI agents for complex problems.
Using AI agents in architectural design, backlog refinement, and technical decision-making, and leading by example in modern engineering.
Balancing technical excellence with business value and delivery efficiency through a strategic, pragmatic approach.

Qualifications

6+ years of software engineering experience, with a proven track record in leadership.
Strong expertise in .NET / .NET Core, OOP, and microservices architecture.
Practical experience with Docker, Kafka, RDBMS, Elasticsearch, and Redis.
Familiarity with Kubernetes, performance monitoring, and CI/CD ecosystems.
Experience designing scalable systems that reduce future technical change costs.
Experience leading teams with AI-augmented tools while maintaining system integrity.
Ability to evaluate AI-generated architectural patterns and ensure long-term maintainability.
Experience integrating agentic workflows to automate leadership and coordination tasks.
BS/MS degree in Computer Science, Engineering, or a relevant field.

Responsibilities

Lead a cross-functional squad (Backend, Frontend, iOS, Android, QA), aligning delivery with the product roadmap and business goals.
Manage and grow the team through 1:1s, feedback, hiring support, and career development.
Improve code quality through strong review habits, coaching, and reduced technical debt.
Increase reliability and performance through observability, incident learning, and metrics-driven improvements.
Guide architectural decisions to keep systems simple, scalable, and maintainable.
Promote a security-first mindset and encourage secure-by-default engineering practices.
Unblock delivery by resolving technical and team conflicts quickly and fairly.
Work closely with Product, Data, and Design to shape solutions and influence product direction.
Lead AI adoption by documenting best practices and coaching engineers to collaborate effectively with AI.
Integrate AI across the SDLC with clear KPIs and human-in-the-loop checks, keeping quality and accountability high.

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