Senior Lead Software Developer

at Appiness Interactive

Senior Lead Software Developer

Appiness Interactive

Company

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Senior Lead Software Developer

at Appiness Interactive

Posted by Shashirekha S

6 - 10 yrs

₹10L - ₹14L / yr

Remote only

Skills

Python

Django

FastAPI

Flask

pandas

Apache Spark

Apache Airflow

Systems design

Apache Kafka

RabbitMQ

SQL

PostgreSQL

MongoDB

cicd

Position Overview: The Lead Software Architect - Python & Data Engineering is a senior technical leadership role responsible for designing and owning end-to-end architecture for data-intensive, AI/ML, and analytics platforms, while mentoring developers and ensuring technical excellence across the organization.

Key Responsibilities:

Design end-to-end software architecture for data-intensive applications, AI/ML pipelines, and analytics platforms
Evaluate trade-offs between competing technical approaches
Define data models, API approach, and integration patterns across systems
Create technical specifications and architecture documentation
Lead by example through production-grade Python code and mentor developers on engineering fundamentals
Conduct design and code reviews focused on architectural soundness
Establish engineering standards, coding practices, and design patterns for the team
Translate business requirements into technical architecture
Collaborate with data scientists, analysts, and other teams to design integrated solutions
Whiteboard and defend system design and architectural choices
Take responsibility for system performance, reliability, and maintainability
Identify and resolve architectural bottlenecks proactively

Required Skills:

8+ years of experience in software architecture and development
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Strong foundations in data structures, algorithms, and computational complexity
Experience in system design for scale, including caching strategies, load balancing, and asynchronous processing
6+ years of Python development experience
Deep knowledge of Django, Flask, or FastAPI
Expert understanding of Python internals including GIL and memory management
Experience with RESTful API design and event-driven architectures (Kafka, RabbitMQ)
Proficiency in data processing frameworks such as Pandas, Apache Spark, and Airflow
Strong SQL optimization and database design experience (PostgreSQL, MySQL, MongoDB) Experience with AWS, GCP, or Azure cloud platforms
Knowledge of containerization (Docker) and orchestration (Kubernetes)
Hands-on experience designing CI/CD pipelines Preferred (Bonus)

Skills:

Experience deploying ML models to production (MLOps, model serving, monitoring) Understanding of ML system design including feature stores and model versioning
Familiarity with ML frameworks such as scikit-learn, TensorFlow, and PyTorch
Open-source contributions or technical blogging demonstrating architectural depth
Experience with modern front-end frameworks for full-stack perspective

Key Responsibilities:

Design end-to-end software architecture for data-intensive applications, AI/ML pipelines, and analytics platforms
Evaluate trade-offs between competing technical approaches
Define data models, API approach, and integration patterns across systems
Create technical specifications and architecture documentation
Lead by example through production-grade Python code and mentor developers on engineering fundamentals
Conduct design and code reviews focused on architectural soundness
Establish engineering standards, coding practices, and design patterns for the team
Translate business requirements into technical architecture
Collaborate with data scientists, analysts, and other teams to design integrated solutions
Whiteboard and defend system design and architectural choices
Take responsibility for system performance, reliability, and maintainability
Identify and resolve architectural bottlenecks proactively

Required Skills:

8+ years of experience in software architecture and development
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Strong foundations in data structures, algorithms, and computational complexity
Experience in system design for scale, including caching strategies, load balancing, and asynchronous processing
6+ years of Python development experience
Deep knowledge of Django, Flask, or FastAPI
Expert understanding of Python internals including GIL and memory management
Experience with RESTful API design and event-driven architectures (Kafka, RabbitMQ)
Proficiency in data processing frameworks such as Pandas, Apache Spark, and Airflow
Strong SQL optimization and database design experience (PostgreSQL, MySQL, MongoDB) Experience with AWS, GCP, or Azure cloud platforms
Knowledge of containerization (Docker) and orchestration (Kubernetes)
Hands-on experience designing CI/CD pipelines Preferred (Bonus)

Skills:

Experience deploying ML models to production (MLOps, model serving, monitoring) Understanding of ML system design including feature stores and model versioning
Familiarity with ML frameworks such as scikit-learn, TensorFlow, and PyTorch
Open-source contributions or technical blogging demonstrating architectural depth
Experience with modern front-end frameworks for full-stack perspective

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