• Design, develop, test, and maintain reliable, scalable, and secure backend software applications.
• Own complex features from solution design through production release.
• Collaborate with engineers, product managers, architects, designers, QA, security, and data teams to deliver solutions that meet user and business needs.
• Participate in code reviews and architectural discussions while contributing ideas that improve testability, performance validation, and risk assessment.
• Contribute to technical decision-making in cloud-native and serverless environments.
• Balance reliability, security, privacy, cost, and maintainability when designing solutions.
• Write clean, maintainable, well-tested code and promote engineering best practices across the team.
• Mentor fellow engineers through code reviews, pair programming, design discussions, and knowledge sharing.
• Leverage AI-powered engineering tools to improve developer productivity, automated testing, AWS infrastructure management, and operational documentation.
• Investigate and resolve software defects, integration challenges, performance bottlenecks, and production incidents.
• Drive continuous improvement across development processes, delivery pipelines, observability, operational readiness, and release quality.
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What You Bring

• Bachelor's degree in Computer Science or a related technical discipline involving coding.
• Strong proficiency in Python, including object-oriented design, testing practices, typing, and maintainable service design.
• Experience building and operating cloud services within AWS environments.
• Expertise with AWS serverless technologies such as Lambda, API Gateway, DynamoDB, S3, and CloudFront.
• Experience using infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience designing backend capabilities including APIs, secure storage solutions, analytics services, and workflow integrations.
• Strong understanding of RESTful APIs, authentication and authorization mechanisms, and microservices architecture.
• Experience working with event-driven architectures and messaging technologies such as SQS and SNS.
• Experience with both NoSQL and relational database technologies, including practical data modelling approaches.
• Knowledge of DevOps practices, CI/CD pipelines, Git, Docker, and monitoring or logging platforms.
• Experience improving software reliability through observability, performance analysis, incident investigation, or security remediation.
• Experience using Jira, Confluence, and Git.
• A collaborative approach with a demonstrated ability to coach, mentor, and support other engineers.