Responsibilities
- Lead and manage a team of data and web engineers.
- Develop and implement technical strategies and roadmaps.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure the best possible performance, quality, and responsiveness of applications.
- Identify and correct bottlenecks and fix bugs.
- Help maintain code quality, organization, and automatization.
- Improve existing systems and processes.
- Write technical documentation.
- Mentor and guide team members in their professional development.
- Conduct performance reviews and provide feedback.
- Manage project timelines and deliverables.
- Ensure projects are delivered on time and within budget.
- Stay up-to-date with emerging technologies and industry trends.
- Ensure security and compliance of data and web systems.
- Manage vendor relationships and third-party integrations.
- Participate in the recruitment and onboarding of new team members.
- Foster a culture of innovation and continuous improvement.
- Collaborate with stakeholders to understand business needs and translate them into technical requirements.
- Provide technical leadership and make critical decisions.
- Ensure alignment of technical solutions with business objectives.
- Manage and allocate resources effectively.
- Monitor and report on project progress and performance.
- Ensure adherence to best practices and standards.
Nice to Have
- Experience with machine learning and AI technologies.
- Knowledge of big data technologies.
- Experience with DevOps and CI/CD pipelines.
- Familiarity with containerization and orchestration tools.
- Experience with microservices architecture.
- Knowledge of cloud security and compliance.
- Experience with data visualization tools.
- Familiarity with agile coaching and training.
- Experience with technical writing and documentation.
- Knowledge of user experience (UX) design principles.
- Experience with international teams and cultural diversity.
- Familiarity with data governance and management.
- Experience with performance monitoring and analytics.
- Knowledge of data privacy and protection regulations.
- Experience with technical training and development programs.
- Familiarity with technical recruitment and onboarding processes.
- Experience with technical project management tools.
- Knowledge of technical debt management.
- Experience with technical risk assessment and mitigation.
- Familiarity with technical documentation standards.
Compensation
Competitive salary and benefits package.
Work Arrangement
Hybrid work arrangement with flexible hours.
Team
Collaborative and innovative team environment.
What You'll Love About Us
- Competitive compensation and benefits package.
- Flexible work arrangements and hybrid work environment.
- Opportunities for professional growth and development.
- Collaborative and innovative team culture.
- Global organization with diverse and inclusive work environment.
- State-of-the-art technology and tools.
- Focus on work-life balance and employee well-being.
- Supportive and inclusive leadership.
- Opportunities to work on cutting-edge projects.
- Commitment to continuous learning and development.
What We're Looking For
- Proven experience in a senior engineering management role.
- Strong technical background in data and web engineering.
- Experience with cloud platforms and services.
- Proficient in programming languages such as Python, Java, or similar.
- Experience with databases and data management systems.
- Knowledge of web technologies and frameworks.
- Strong leadership and management skills.
- Excellent communication and interpersonal skills.
- Ability to work in a fast-paced, dynamic environment.
- Problem-solving and analytical skills.
Our Tech Stack
- Cloud platforms (AWS, Azure, GCP).
- Programming languages (Python, Java, JavaScript).
- Databases (MySQL, PostgreSQL, MongoDB).
- Web frameworks (React, Angular, Vue.js).
- Containerization tools (Docker, Kubernetes).
- CI/CD pipelines (Jenkins, GitLab CI, CircleCI).
- Data visualization tools (Tableau, Power BI, Looker).
- Big data technologies (Hadoop, Spark, Hive).
- Machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
- Version control systems (Git, SVN).
Visa sponsorship available for eligible candidates.
