The ideal candidate has a high energy with experience and interest in developing cloud native applications, APIs, and data pipelines. Tenacity, an open and curious mind, and desire to learn and understand is critical for success on this team. WHO WE ARE LOOKING FOR The ideal candidate should have deep knowledge on Cloud Security standards and principals, Must have hands on Python scripting language experience any additional scripting language experience will be an added advantage. Candidate should have • experience in cyber Security products, work experience on CI/CD Pipelines, API creation and integration, industry best practice, professional experience, collaboration and good judgment to develop creative solutions that help drive consistency and streamline security tools and solutions. Who have handled a team to 3 to 4 members and lead them technically and could able to guide them. Who can write production‑quality Python, build robust data integrations (REST, CI/CD), and leverage data platforms (e.g., Databricks) while instrumenting model monitoring to prevent drift and bias. They challenge manual processes, document clearly, and communicate crisply to stakeholders and executives. Candidate need to have 9–10+ years in Cloud security automation and Security engineering experience, knowledge on AI/ML application/cloud security will be an advantage. Who have hands on coding • experience in Python scripting language and any additional scrytping language experience would be an advantage.

You will be working on cloud engineering projects and initiatives specifically on security products/tools. Work on python related scripting language is required, other scripting languages are a plus. Integrate tools and systems via API. Utilize data lake tools such as Databricks for centralized data pipelining, integration with AI modules, and in-time security alerting. Complete process and workflow orchestration to streamline team efforts. Secure DevOps principals and CI/CD pipelines utilizing Nike standard practices. Leverage cloud technologies and serverless architectures while evaluating adherence to Nike platform expectations.