Posted 10 days ago
Engineering Manager
AI Summary
Lead and develop high-performing engineering teams in Nepal, combining people leadership with technical delivery ownership to ensure consistent, high-quality outcomes.
About this role
About the Role
We are looking for an experienced Engineering Manager to lead and develop high-performing engineering teams in Nepal.
You will combine strong people leadership with technical understanding and delivery ownership, helping engineers grow while ensuring teams consistently deliver high-quality solutions and strong business outcomes.
This is a leadership role for someone who enjoys developing people, solving complex delivery challenges, and improving the way engineering teams work.
What You’ll Do
- Lead, mentor, and develop engineers through regular 1:1s, coaching, feedback, and individual development plans.
- Take ownership of team performance, delivery, and outcomes.
- Identify risks and blockers early and drive them through to resolution.
- Manage priorities, dependencies, expectations, and delivery commitments with stakeholders.
- Support architecture discussions, technical decision-making, and engineering quality initiatives.
- Promote best practices across testing, code quality, documentation, CI/CD, maintainability, and security.
- Build a culture of accountability, collaboration, continuous improvement, and technical excellence.
- Strengthen engineering processes and delivery capabilities as our teams continue to grow.
- Work closely with distributed and cross-functional teams across the organization.
- Help engineers develop toward broader technical and leadership responsibilities.
What We’re Looking For
- 10+ years of software engineering experience, including engineering leadership or management experience.
- Proven experience leading, mentoring, and developing engineering teams.
- Strong track record of delivering successful engineering outcomes.
- Experience working in Agile software development environments.
- Strong understanding of modern software development practices and the software delivery lifecycle.
- Experience with architecture discussions, technical risk management, and quality assurance.
- Strong people-management, coaching, and stakeholder-management skills.
- Excellent communication and relationship-building capabilities.
- Strong ownership, problem-solving, prioritization, and decision-making skills.
- Ability to balance technical, business, delivery, and people priorities.
- Experience working with distributed and cross-functional teams.
Nice to Have
Experience with modern data platforms and technologies such as:
- Databricks
- Apache Spark
- Python
- SQL
- AWS, Azure, or GCP
- Modern data engineering platforms and ecosystems
Why Join Us?
You’ll have the opportunity to shape both people and technology, with meaningful ownership over engineering outcomes and team development.
You will help build strong engineering teams in Nepal while collaborating with colleagues and stakeholders across an international organization. Your work will directly influence engineering quality, delivery reliability, employee growth, and ultimately the success of our customers and business.
If you are an experienced engineering leader who enjoys developing talented people while driving technical and delivery excellence, we’d like to hear from you.
About Us
Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms.
With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner.
At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support.
We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
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