Cloud Software Engineer (Python & AWS)

The Big Picture

DigiSay Group is a media tech company that started in 2010 focusing initially on creator services including content management and distribution. Today DigiSay acts as a media group with subsidiaries providing end to end services around the content life-cycle from inception to monetization. DigiSay aims to focus on the media sector from a technology, production, and venture building perspective.

About Rightshero

Rightshero is a spin-off company from DigiSay Group, a UAE leading media-tech enabling group based and active in MENA, founded in 2016.

Rightshero transformed into a prominent media-tech services provider and we stand as one of the largest media tech enablers in the MENA region, specialization lies in delivering Anti-Piracy and content security solutions tailored for media companies, offering extensive coverage in the realms of media rights and online protectio

Responsibilities

•Design and implement robust, efficient, and scalable backend systems and APIs using Python and modern frameworks such as Flask, Django, or FastAPI.

• Architect and deploy cloud-native applications using a broad set of AWS services, including EC2, Lambda, RDS, DynamoDB, S3, ECS, and CloudFormation.

• Develop and maintain serverless applications utilizing AWS services like Lambda, API Gateway, Step Functions, and SNS/SQS.

    • Collaborate closely with cross-functional teams including product managers, designers, and frontend engineers to understand requirements and translate them into scalable technical solutions.

    • Write clean, maintainable, and well-documented code following software engineering best practices, with strong unit and integration testing coverage.

    • Implement CI/CD pipelines using AWS Developer Tools such as CodePipeline, CodeBuild, and CodeDeploy to automate testing and deployment workflows.

    • Ensure application security, fault tolerance, and high availability using AWS features such as IAM, Secrets Manager, Auto Scaling, Load Balancers, and CloudWatch.

    • Analyze performance bottlenecks and optimize systems for speed, scalability, and cost-efficiency in a cloud environment.

    • Participate in agile ceremonies (e.g., sprint planning, stand-ups, retrospectives) and contribute to iterative development and continuous improvement.

    • Mentor junior engineers and promote best practices in Python development and cloud architecture.

    • Stay current with evolving technologies, tools, and AWS services, and bring fresh ideas to the team to continuously improve systems and development workflows.

Qualifications

    •    Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

    •    3+ years of professional experience in software engineering, with a strong focus on Python development and AWS cloud architecture.

    •    Deep knowledge of Python and its ecosystem, including libraries and frameworks like Django, Flask, FastAPI, and Scrapy.

    •    Demonstrated experience with AWS services, including:

            - Compute: EC2, ECS, Lambda

            - Storage: S3, EFS

            - Databases: RDS (PostgreSQL/MySQL), DynamoDB

            - Developer Tools: CodePipeline, CodeBuild, CodeDeploy

            - Security: IAM, Secrets Manager

            - Networking: VPC, API Gateway, Load Balancers

            - Monitoring & Infrastructure: CloudWatch, CloudFormation, CloudTrail            

             -Strong hands-on experience with both Python and AWS. Proficiency in both technologies is mandatory; candidates with expertise in only one will not be considered.

    •    Hands-on experience with infrastructure as code (IaC) using CloudFormation, Terraform, or AWS CDK is a plus.

    •    Proficient in building RESTful APIs and integrating backend systems with frontend components.

    •    Familiarity with containerization and orchestration tools such as Docker and Kubernetes.

    •    Experience with version control (e.g., Git) and collaborative workflows

    •    Strong understanding of agile methodologies like Scrum or Kanban.

    •    Excellent problem-solving, debugging, and analytical skills.

    •    Strong communication skills with the ability to articulate technical concepts clearly and collaborate effectively with both technical and non-technical stakeholders.