Senior Python Engineer

Role Description

Are you someone who loves turning bold ideas into reality? Does the thought of experimenting with cutting-edge tech and creating quick Proof of Concepts (POCs) excite you? At Arionkoder, our Innovation Team is searching for a Backend Developer who thrives on pushing boundaries and sharing their journey through impactful communication. If you’re passionate about reshaping what’s possible with technology, we’d love to meet you.

What You’ll Do

• Experiment and Build: Rapidly prototype and iterate on backend solutions, creating POCs to explore new ideas and validate use cases.
• Collaborate Creatively: Partner with frontend developers, ML engineers, and domain experts to design and deliver innovative solutions.
• Integrate Thoughtfully: Integrate AI/ML models into backend systems, optimizing their performance for scalable, real-world applications.
• Optimize and Secure: Build scalable, secure systems using AWS services and adhere to industry best practices.
• Mentor and Lead: Guide team members, sharing your knowledge and fostering a culture of curiosity and experimentation.

Qualifications

• Curiosity and Passion: You’re eager to explore emerging backend technologies and stay ahead of the curve.
• Hands-On Problem-Solver: You’re driven to create, prototype, and refine solutions quickly, learning from successes and failures alike.
• Great Communicator: You excel at making technical ideas accessible, inspiring your team and the broader organization.
• Team-Oriented Mindset: You succeed in multidisciplinary teams and believe innovation is strongest when perspectives combine.
• Technical Expertise:
• Proficiency in Python and FastAPI for backend development.
• Strong experience with AWS services (Lambda, API Gateway, RDS, S3, etc.).
• Familiarity with integrating AI/ML models into backend systems.
• Solid understanding of CI/CD pipelines, RESTful APIs, and GraphQL.
• Extra skills that can make you stand out:
• Experience with monitoring and observability tools (e.g., CloudWatch, Datadog).
• Familiarity with conversational AI, natural language processing (NLP), Computer Vision or ML based predictive models is nice to have.
• Knowledge of Docker, containerization, and debugging tools.
• Exposure to event-driven architectures and message queues (e.g., SQS, SNS, Kafka).
• Knowledge of Infrastructure-as-Code tools like Terraform or AWS CDK.
• Understanding of database optimization and performance tuning for both SQL and NoSQL databases.

Benefits

• Monthly USD Service Fee
• 20 business days of paid Agreed Time Off—Annual + 6 Local Holidays
• Caregiver Time Off
• A dynamic remote work culture. You can work from anywhere!
• An entrepreneurial environment.