Python Developer
Posted
Jun 21, 2026 (Jun 21)
Seniority
Not Specified
Work Model
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Type
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Category
Salary
Not specified
Skills
Description
Python Developer (Backend / Cloud Infrastructure) We are looking for a highly skilled Python Developer to join a rapidly expanding technology team. This role will play a key part in enhancing and scaling mission-critical backend systems and cloud infrastructure, with a strong focus on performance, reliability, and security. The ideal candidate has deep experience building distributed systems on AWS and thrives in high-impact environments. Responsibilities Develop and scale robust backend services supporting both customer-facing products and internal platforms Contribute to and influence architecture and design decisions, driving improvements in scalability, reliability, and maintainability Build and manage core platform services and APIs, with an emphasis on extensibility and long-term stability Design and implement data pipelines and cloud-native data infrastructure leveraging services such as S3, DynamoDB, ElastiCache, and Redshift Develop event-driven and serverless systems using AWS technologies including Lambda, SQS, EventBridge, Amplify, and API Gateway Ensure systems are highly available, fault-tolerant, and observable, with strong monitoring and alerting practices Automate and streamline operational processes and workflows to improve system efficiency and developer productivity Diagnose and resolve complex production issues, including performance bottlenecks and distributed system challenges Continuously evaluate and adopt modern Python and AWS best practices, staying current with emerging technologies Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience) 7+ years of experience in backend engineering, cloud engineering, or similar roles Strong expertise in Python (3.10+), including modern language features and asynchronous programming Deep hands-on experience with AWS cloud services and architecture (certifications are a plus) Experience working with data-intensive systems, using tools such as Pandas, PyArrow, Polars, or similar libraries in distributed/cloud environments Solid understanding of event-driven architecture, messaging systems, and service orchestration patterns Proficiency in Linux environments, including system-level troubleshooting and shell scripting Experience with Infrastructure as Code (Terraform, CloudFormation) and modern CI/CD pipelines Strong communication skills with the ability to collaborate effectively across engineering and business teams
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