Lead Software Engineer – Python | Cloud & AI

Key Responsibilities

• Lead the architecture technical design and implementation of enterprise-scale applications and services.
• Develop and maintain high-quality backend services using Python and modern backend frameworks.
• Design and implement scalable REST APIs microservices and distributed systems.
• Translate business and product requirements into technical architecture and actionable development plans.
• Lead engineering teams through development code review testing deployment and production support.
• Establish and maintain engineering standards covering architecture coding practices security performance and scalability.
• Evaluate technologies and architectural approaches and make informed technical decisions.
• Identify technical risks and proactively resolve complex engineering and delivery challenges.
• Ensure applications meet required standards for security scalability reliability performance and maintainability.
• Support CI/CD pipelines cloud deployment release management and production operations.
• Participate in technical planning estimation architecture reviews and engineering roadmap discussions.
• Conduct code reviews and provide technical guidance to engineering team members.
• Mentor developers and promote a culture of ownership collaboration and continuous improvement.
• Communicate technical decisions and architecture clearly to both technical and non-technical stakeholders.

Qualifications :

Required Qualifications & Technical Skills

• 7 years of professional software engineering experience including significant experience in system design or architecture.
• Strong hands-on experience with Python and enterprise backend development.
• Strong experience with FastAPI Django or equivalent Python frameworks.
• Proven experience designing and developing RESTful APIs.
• Strong understanding of microservices and distributed-system architecture.
• Strong knowledge of database design data modelling and performance optimization.
• Strong understanding of application security authentication and authorization.
• Proven experience designing large-scale multi-system architectures.
• Experience making technical decisions across multiple teams products or platforms.
• Strong understanding of software engineering principles design patterns and development best practices.

Cloud & DevOps

Hands-on experience with one or more of the following cloud platforms:

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Experience with the following will be an advantage:

• Docker and containerization
• CI/CD pipelines
• Cloud-native application development
• Infrastructure automation
• Monitoring and observability
• Deployment automation

AI Data & Emerging Technologies

Experience in one or more of the following will be highly valued:

• Artificial Intelligence / Machine Learning
• Generative AI and LLM-based applications
• Retrieval-Augmented Generation (RAG)
• Vector databases
• Agentic AI / AI Agents
• Data engineering and data platforms
• Analytics pipelines
• ML model integration and deployment

Additional Information :

Preferred Industry Experience

Experience working with enterprise-grade technology platforms in any of the following sectors will be advantageous:

BFSI / Fintech Telecommunications Retail Logistics Healthcare SaaS

Leadership & Architecture Experience

Candidates should demonstrate experience in:

• Technical leadership and engineering-team mentoring
• Enterprise architecture and system design
• Architecture governance and engineering standards
• Technical decision-making
• Code review and engineering quality management
• Cross-team technical collaboration
• Stakeholder management
• Performance optimization
• Cloud cost optimization
• Production support and incident management

Professional Competencies

• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to communicate complex technical concepts clearly.
• Strong ownership and accountability.
• Ability to work effectively with distributed and cross-functional teams.
• Ability to balance business requirements with technical considerations.
• Strong commitment to engineering quality and continuous improvement.

What We Offer

• Opportunity to work on enterprise-scale software and technology platforms.
• Exposure to modern Python Cloud AI/ML and distributed-system technologies.
• Significant technical ownership and architectural responsibilities.
• Opportunity to work with experienced engineering and business teams.
• Technical leadership and professional development opportunities.
• Collaborative and performance-driven engineering environment.
• Competitive compensation and benefits based on experience and company policy.

How to Apply

Interested candidates are requested to send their updated CV to the designated career(@) email address with the subject line:

Application Lead Software Engineer Python Cloud & AI

Please ensure your CV clearly highlights your experience in Python backend engineering system architecture cloud technologies AI/ML and technical leadership current & expected salary notice period. 

Flyte Solutions Ltd.
Engineering Scalable Technology for Global Businesses

Only shortlisted candidates will be contacted for the next stage of the recruitment process.

Remote Work :

No

Employment Type :

Full-time