What’s Important to Us
We are seeking a strong technical leader who can drive architecture, solve complex engineering challenges, mentor teams, build AI-enabled applications, and ensure high-quality delivery.
As a Python Lead, you will own the design, architecture, and delivery of scalable backend systems, AI-enabled applications, and cloud-native platforms.
Experience & Qualifications
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7+ years of software engineering experience with strong hands-on development expertise in Python.
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Proven experience leading technical teams and large-scale software initiatives.
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Strong background in architecture, system design, scalability, performance optimization, and security.
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Experience building enterprise-grade cloud-native applications.
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Bachelor’s degree in Computer Science, Engineering, or related field.
Core Technical Skills
Python & Backend Development
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Strong expertise in Python and frameworks such as Django, Flask, FastAPI.
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Experience building REST APIs, GraphQL services, microservices, and distributed systems.
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Strong understanding of scalable backend architecture and API design.
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Strong experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or Elasticsearch.
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Knowledge of database design, query optimization, and performance tuning.
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Frontend collaboration with working knowledge of HTML5, CSS, JavaScript, and frameworks such as ReactJS and Angular. Skilled in partnering with frontend teams to deliver seamless full‑stack solutions.
Architecture, Cloud & DevOps
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Strong working knowledge of software architecture including microservices, event-driven systems, and distributed architectures.
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Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
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Experience with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
Engineering Excellence & AI
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Strong commitment to clean coding principles, design patterns, code reviews, and best engineering practices.
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Experience in unit testing, integration testing, and automated quality checks.
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Exposure to AI-driven development, LLM integrations, automation tools, or modern AI ecosystems is a strong advantage.
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Experience with monitoring, logging, alerting, and incident management.
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Strong focus on system reliability, performance, and SLA adherence.
Leadership and Soft Skills
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Lead technical design and architecture discussions.
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Translate business requirements into scalable technical solutions.
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Provide effort estimations and technical guidance.
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Mentor developers and drive engineering excellence.
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Promote best practices in architecture, coding, quality, and delivery.
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Strong analytical and problem-solving skills.
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Excellent communication and stakeholder management.
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Ability to work effectively in cross-functional and distributed teams.
