Software Engineer

We are seeking a versatile software engineer with experience across full-stack development, technical architecture, and data engineering to help deliver scalable, secure, and modern digital solutions. In this role, you will work closely with system engineers, data engineers, AI/ML specialists, frontend developers, and platform teams to build and enhance shared platforms, data pipelines, and intelligent applications that align with enterprise architecture and business priorities., * Design, build, and maintain end-to-end software and data solutions across cloud and distributed environments.

• Collaborate with cross-functional teams to deliver solutions aligned with enterprise architecture, shared platforms, and product priorities.
• Contribute to technical architecture decisions, including scalability, security, maintainability, and performance trade-offs.
• Develop and optimize data pipelines, integrations, APIs, and application services.
• Support AWS-based application, data, and AI/ML workloads, including orchestration, monitoring, and security.
• Integrate AI/ML capabilities into products and business workflows, including model deployment, inference pipelines, and monitoring.
• Partner with DevOps teams to improve CI/CD, automation, observability, and operational resilience.
• Write clean, secure, and maintainable code across frontend, backend, and data layers.
• Troubleshoot production issues, identify root causes, and implement durable fixes.
• Support security, compliance, and governance requirements, including standards such as NIST, GDPR, and SOX where applicable.
• Stay current on emerging technologies and contribute ideas that improve products, platforms, and engineering practices.

• Bachelor’s degree in Computer Science or a STEM field.
• Relevant working experience in software engineering, data engineering, or related technical roles.
• Experience with cloud platforms, preferably AWS.
• Experience with frontend technologies such as JavaScript, HTML5, CSS, and frameworks such as Angular or React.
• Experience with backend development using technologies such as Python, Java, and related frameworks.
• Experience designing or supporting data pipelines, ETL/ELT processes, and integrations.
• Familiarity with CI/CD, automated testing, containerization, and cloud-native tools such as Git, Docker, Kubernetes, Gradle, or Maven.
• Understanding of secure engineering practices and compliance considerations in enterprise environments., * Experience with AI/ML deployment, integration, or monitoring.
• Experience with API orchestration, MCP-based integrations, or connected system architectures.
• Knowledge of technical data domains and enterprise data architecture.
• Supply chain domain experience.
• Ability to work effectively across teams, communicate clearly, and adapt to changing priorities.