Technical contributor responsible for designing, engineering, and continuously optimizing software delivery pipelines and full stack applications in support of modern, scalable, and compliant development environments. The role combines CI/CD pipeline engineering, application development, and platform integration to enable efficient, automated, and governed software delivery. A key focus is the integration of agentic (AI-supported) development capabilities into the software lifecycle, ensuring reproducibility, traceability, and compliance by design. The position requires the ability to implement end-to-end technical solutions across application and platform layers, while continuously improving engineering practices, tooling, and delivery standards in alignment with enterprise IT and regulatory requirements.
Responsibilities:
- Design, implement, and operate robust CI/CD pipelines and automated workflows, ensuring reliable and repeatable software build, integration, testing, and deployment processes.
- Engineer full stack solutions by developing backend services and frontend components.
- Develop and maintain scalable, modular, and testable code with appropriate testing practices.
- Integrate and standardize toolchains across the SDLC including version control, build automation, artifact management, and security scanning.
- Monitor, analyze, and optimize pipeline and application performance with observability capabilities.
- Embed and enforce security, compliance, and quality controls aligned with enterprise and regulatory requirements.
- Contribute to architecture and technical design decisions
- Apply DevOps and platform engineering practices including containerization and infrastructure as code (IaC)
- Evaluate and adopt emerging technologies including AI-assisted development.
- Drive continuous improvement of development processes, tools, and standards.
- Produce and maintain technical documentation.
- Collaborate with cross-functional and global teams.
- Support implementation of governance, traceability, and validation practices for AI-assisted software development in a regulated environment.