Software Engineering Team Lead/Architect

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Requirements:

• 10+ years of software development experience focused on Python.
• 5+ years of experience leading development teams, mentoring junior engineers, or managing development processes.
• Proven experience in startup environments with adaptability to change and limited resources.
• Strong understanding of software architecture principles, microservices, and cloud technologies (e.g., AWS, GCP, Azure).
• Experience with database/streaming products such as Kafka, RabbitMQ, Event Hub, Kinesis, MongoDB, DocumentDB, Milvus, ElasticSearch.
• Experience with IaC tools such as Terraform, Salt, Puppet, Ansible.
• Backed by experience with structured and unstructured data.
• Hands-on experience with CI/CD pipelines, containerization (Docker, Kubernetes), and modern deployment practices.
• Excellent problem-solving skills and the ability to lead teams through technical challenges.
• Strong verbal and written communication skills to explain technical concepts to various stakeholders.
• Experience with agile methodologies and project management tools (JIRA, Trello, etc.).
• Cybersecurity domain knowledge, focusing on secure software application development or security practices integration.
• An architect certification from one of the main cloud providers (e.g., AWS, Azure, GCP).
• Exposure to other programming languages such as Go, Rust, or JavaScript.
• Contribution to open-source projects or tech forums involvement.

Responsibilities:

• Lead and mentor a team of Python developers, providing guidance on best practices, code quality, and development processes.
• Design, architect, and oversee the implementation of scalable, high-performance software solutions.
• Collaborate closely with cross-functional teams including Product, DevOps, and Security to ensure timely and high-quality delivery of projects.
• Drive technical decisions and ensure alignment with company objectives and engineering best practices.
• Take ownership of the full development lifecycle, from planning and architecture to deployment and support.
• Proactively identify and address bottlenecks, performance issues, and technical debt to maintain system scalability and reliability.
• Maintain a high standard of code quality by promoting best practices like automated testing, code reviews, and CI/CD pipelines.
• Stay current with emerging technologies and trends, especially in the cybersecurity space, to continuously innovate and improve the platform.
• Ensure security considerations are baked into every stage of the development process, collaborating with the security team as needed.