$ cat jobs/back-end-python-engineer-aws-desktop-miratech1-6b661420f9bb.json
Back-End Python Engineer (AWS - Desktop)
Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a valuesdriven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. This role focuses on building and maintaining scalable, secure backend systems using Python and cloud technologies. The candidate will design RESTful APIs and microservices, integrate third-party solutions like Pindrop, and develop high-performance applications on AWS. The role involves working extensively with cloud services (Lambda, S3, DynamoDB), implementing CI/CD pipelines, ensuring system observability, and contributing to infrastructure automation. Additionally, the candidate will support contact center transformation initiatives, including integrations with Amazon Connect, while collaborating across teams to deliver reliable and efficient solutions. Responsibilities Design, develop, and maintain RESTful APIs and microservices using Python. Integrate and support Pindrop solutions including authentication, fraud detection workflows, and SDK/API usage. Architect secure, scalable, and high-performance backend applications. Integrate backend services with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and DynamoDB. Write clean, efficient, testable code following best practices for performance, ma
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