Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and applied experience
Experience in cloud development, with a focus on application design and development.
Proficiency in programming languages such as Java, Python, or Node.js.
Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
Experience building RESTful APIs and working with event-driven or serverless architectures.
Experience with Git, CI/CD pipelines, automated testing frameworks and DevOps practices.
Experience with monitoring and logging tools like CloudWatch, Dynatrace, Datadog, Prometheus, Grafana, or ELK stack.
Proficiency in data warehousing solutions like Snowflake and Iceberg and relational databases such as RDS or Oracle.
Experience in Infrastructure as code (IAC) such as Terraform or equivalent
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Preferred qualifications, capabilities, and skills
Experience in automation in any scripting languages such as python/groovy etc.
Exposure to web-development frameworks e.g. React JS, Angular
Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer
Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases.
