Software Development Engineering Manager
Role Direction and Impact
The Software Development Engineering Manager will be a critical leadership role in our engineering organization. This person will not only manage and grow engineering teams but also remain hands-on with technical guidance and strategic execution.
Key Responsibilities
- Lead, mentor, and manage a team of engineers, fostering growth and accountability.
- Define and follow thru technical KPIs, strategy, architecture, and roadmap.
- Collaborate cross-functionally team with product, design, QA, infosec, professional services, and stakeholders.
- Champion best practices in development, ensuring code quality, scalability, and maintainability.
- Drive a culture of innovation and continuous improvement.
- Provide hands-on technical guidance and support in design and coding when necessary.
- Own project delivery end-to-end, ensuring milestones are met.
- Recruit, onboard, and retain top engineering talent.
- Monitor project risks and implement mitigation strategies.
- Stay updated on emerging technologies and industry trends to keep the team competitive.
Technical Requirements & Key Skills
- Technical Background: Strong foundation in software engineering with hands-on coding experience.
- Software Development Expertise: Deep understanding of software design, architecture, algorithms, and system design.
- Leadership & Management: Proven track record of managing teams of engineers (3+ members). Experience managing high-performance teams and driving results
- Modern Practices: Familiarity with Agile, DevOps, CI/CD pipelines, and modern development tools.
- Cloud & Infrastructure: Experience with AWS, GCP, or self-managed data centres.
- Programming Languages: Proficiency in at least one modern language (Python, Java, C++, etc.).
- Database Knowledge: Hands on experience SQL databases, Clickhouse
- Project Ownership: Demonstrated ability to take projects from concept to production.
- Plus Skills: Containerization (Docker, Kubernetes), microservices, distributed systems, data-driven decision-making. OLAP databases. Employee engagement program. Design review evaluations. Big data processing.
