Senior Python Developer

The Role

Python Developer supports the development team in building robust, scalable backend systems, APIs, and data pipelines. They are expected to be an expert in Python development, API design, and cloud infrastructure. The role includes supporting ML/AI systems when needed, working closely with ML/AI and data engineers and other teams to deliver high-quality backend solutions.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Informatics, or a related technical discipline – or equivalent professional experience

Advanced Python and strong SQL for backend development, data processing, and database operations

Solid grasp of backend design patterns, microservices architecture, database optimization, and containerization best practices

FastAPI or Flask experience; strong in RESTful API design, implementation, and documentation, including versioning and authentication

Solid experience with SQL databases (MySQL/PostgreSQL) and AWS DynamoDB (NoSQL), Document stores (OpenSearch) for application data stores and data pipelines; query optimization and schema design

Experience with message queuing systems (SQS, RabbitMQ) and caching solutions (Redis, Memcached)

AWS services, RDS, OpenSearch, Bedrock, Docker, AWS ECS/Fargate, S3, Lambda, AWS Batch

CI/CD with Jenkins; Terraform, Infrastructure as Code,

Orchestrating data processing and ETL pipelines (AWS Steps functions, AWS Batch, Prefect)

Git with Bitbucket repositories; code review practices and branching strategies

Skills, Knowledge, and Abilities

Quick adaptation to new technologies and tools

Experimental mindset focused on discovery and innovation; willingness to explore new approaches and learn from both successes and failures

Strong analytical skills and data-driven decision making; capable of dissecting complex business or technical problems and designing appropriate backend architectures

Thrive under tight schedules; comfortable making independent technical decisions; take initiative in identifying and addressing technical challenges

Vigilant about data quality, edge cases, and performance bottlenecks

Ability to communicate and collaborate across diverse teams including data engineers, ML engineers, domain experts, and product managers

Very good command of English, written and spoken

Key Responsibilities

Design, implement, and maintain RESTful APIs using FastAPI or Flask; ensure proper API versioning, authentication, authorization, and documentation

Build scalable data ingestion, processing, and ETL pipelines; orchestrate workflows using Prefect or AWS Step Functions; support ML/AI systems with backend infrastructure and data pipeline support

Containerize services with Docker; deploy and manage AWS infrastructure (ECS/Fargate, Lambda, S3, RDS); implement CI/CD pipelines with Jenkins and Terraform

Design and optimize database schemas, queries, and data models for both relational and NoSQL databases

Develop and integrate microservices; implement message queuing (SQS, RabbitMQ) and caching strategies (Redis, Memcached)

Optimize application performance, implement caching strategies, and design systems for horizontal scalability and high availability

Implement comprehensive logging, monitoring, and alerting; troubleshoot production issues; ensure system reliability and performance

Champion clean code, unit/integration testing, code reviews, and documentation for long-term maintainability

Contribute to technical specifications and architecture decisions

Stay current with innovations in backend development, Python ecosystem, and cloud technologies

Join us to build scalable, high-impact backend systems powering next-gen data and AI solutions!