Senior Software Engineer

About the company:

Sharpsell.ai&aposs Sales Playbook Automation Platform helps large sales teams to scale deal-winning behaviour with dynamic product illustrations, real-time learning and personalised content. Sharpsell comes with playbooks for salespeople that adapt and serve them every step of the sales process by: providing learning, content, tools, frameworks and answers that are required to build trust and close deals.

Sharpsell is used by leading companies by 7,50,000+ frontline sales users in BFSI and Pharma industries and is funded by leading investors like Cornerstone Venture Partners and Mistry Ventures.

Responsibilities:

* Design and implement robust, scalable, and high-performance backend architectures.

* Lead the development and integration of APIs using modern Python frameworks such as FastAPI.

* Architect and optimize complex database solutions, including schema design and query optimization for relational databases like PostgreSQL/MySQL.

* Design and deploy systems that handle distributed workloads and complex data storage solutions, including databases, key-value stores, blob storage, and caching mechanisms.

* Leverage AWS services for scalable deployments, including but not limited to EC2, S3, RDS and Lambda.

* Ensure system reliability, scalability, and performance through architectural best practices, including asynchronous programming in Python.

* Own the deployment process, managing CI/CD pipelines and handling configurations for multiple environments.

* Debug and resolve critical system issues, ensuring minimal downtime and effective incident management.

* Stay updated with industry trends and propose modern solutions to meet business objectives.

Skills and Qualifications:

* Extensive experience in Python programming and frameworks like FastAPI (preferred), Flask, or Django for building APIs.

* Proficiency in ORMs, especially SQLAlchemy, with a strong understanding of database design, migrations (using Alembic), and declarative query languages.

* Strong grasp of asynchronous programming and its application in Python for scalable architectures.

* Expertise in working with relational databases like PostgreSQL/MySQL, including schema design, query optimization, and database management.

* Experience with AWS services, including architecture design and deployment (e.g., EC2, RDS, Lambda, S3).

* Familiarity with distributed systems, microservices architecture, and message brokers (e.g., RabbitMQ, Kafka, or SQS).

* Proficient understanding of CI/CD pipelines and modern DevOps practices, including Docker and Kubernetes.

* Strong understanding of system design principles and building highly scalable and maintainable systems.

* Experience working with caching mechanisms (e.g., Redis, Memcached) to improve performance.

* Excellent communication and problem-solving skills, with the ability to collaborate effectively with cross-functional teams.