Visionary Software Developer

Seeking a visionary Technical Lead to drive architectural excellence in our software development team. As a key member of our engineering organization, you will play a critical role in shaping the future of our RPA product.

• Technical Visionary: Define and lead the architectural design and development of our RPA product, ensuring solutions are scalable, maintainable, and aligned with organizational strategic goals.
• Tech Leadership: Provide technical leadership and mentor team members on architectural best practices, analyze and resolve complex technical challenges, and ensure high system reliability and performance.
• Cross-Functional Collaboration: Collaborate with cross-functional stakeholders, including product managers, QA, and engineering teams, to define system requirements, prioritize technical objectives, and design cohesive solutions.
• Code Standards and Reviews: Establish and enforce coding standards, best practices, and guidelines across the engineering team, conducting code reviews with a focus on architecture, maintainability, and future scalability.
• Documentation and Knowledge Transfer: Develop and maintain comprehensive documentation for system architecture, design decisions, and implementation details, ensuring knowledge transfer and facilitating team collaboration.
• Testing Strategies: Architect and oversee robust testing strategies, including automated unit, integration, and regression tests, to ensure adherence to quality standards and efficient system validation.
• Innovation and Research: Research and integrate emerging technologies, particularly advancements in RPA and automation, to continually enhance the product's capabilities and technical stack.
• Mentorship and Team Alignment: Serve as a technical mentor and advisor to engineering teams, fostering professional growth and ensuring alignment with the overall architectural vision.

Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Experience: 8+ years of professional experience in software development.
• Skills:
  • Programming Languages: Expertise in object-oriented programming languages such as Java, C#, or similar, with a strong understanding of design patterns and principles.
  • Software Development Best Practices: Deep familiarity with software development best practices, version control systems (e.g., Git), and continuous integration/continuous delivery (CI/CD) workflows.
  • Cloud Platforms: Proven experience deploying and managing infrastructure on cloud platforms such as AWS, Azure, or Google Cloud, including knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  • RESTful APIs and Microservices: Strong proficiency in architecting, building, and optimizing RESTful APIs and microservices, with familiarity in tools like Swagger/OpenAPI and Postman for design and testing.
  • Database Design: Comprehensive knowledge of SQL databases (e.g., PostgreSQL, SQLServer) with expertise in designing scalable and reliable data models, including creating detailed Entity-Relationship Diagrams (ERDs) and optimizing database schemas for performance and maintainability.
  • CI/CD Pipelines: Demonstrated experience in building and maintaining robust CI/CD pipelines using tools such as Jenkins or GitLab CI.
  • Agile Development Environments: Comfortable and experienced in agile development environments, demonstrating adaptability to evolving requirements and timelines while maintaining high productivity and focus on deliverables.
  • Security Best Practices: Familiarity with security best practices in software development, such as OWASP guidelines, secure coding principles, and implementing authentication/authorization frameworks (e.g., OAuth, SAML, JWT).
  • Microservices Architecture: Experience with microservices architecture, message brokers (e.g., RabbitMQ, Kafka), and event-driven design.
  • Performance Optimization: Extensive experience in performance optimization and scalability, with a focus on designing high-performance systems and utilizing profiling tools and techniques to optimize both code and infrastructure for maximum efficiency.