Back End Software Engineer

• The Back End Software Engineer will develop and maintain server-side logic, database architecture, and cloud-native infrastructure supporting AI Foundations initiatives.
• This role is heavily focused on cloud infrastructure, Kubernetes platforms, and DevOps best practices.
• The ideal candidate will combine deep backend engineering expertise with strong platform architecture experience and the ability to work semi-autonomously in rapid prototyping environments.

Backend Application Development:

• Develop and maintain server-side logic, APIs, authentication systems, and database interactions.
• Define and manage central database architecture ensuring performance, scalability, and reliability.
• Integrate front-end components with backend services.
• Collaborate with front-end developers, Product Managers, customers, and end users to design cohesive solutions.
• Build prototypes, products, and systems that meet quality standards and business requirements.
• Ensure reusable, well-documented, and thoroughly tested components.

• Design and implement scalable cloud infrastructure on Azure and other cloud platforms (Google Cloud Platform, AWS).
• Architect and deploy Kubernetes-based platforms and operators.
• Implement infrastructure as code using Terraform and Crossplane.
• Develop and manage cloud-agnostic observability stacks including Prometheus, Thanos, Loki, Tempo/Jaeger, OpenTelemetry, Grafana, and Alertmanager.
• Implement and manage platform security including event monitoring, Falco detection, and CIS benchmark compliance.
• Apply strong GitOps best practices to DevOps processes and automation pipelines.

• Create and oversee DevOps processes to improve reliability and deployment efficiency.
• Provide technical leadership and documentation to developers and stakeholders.
• Lead internal workshops and enable end users through training and technical guidance.
• Stay current with emerging technologies, tools, and cloud-native practices.

• Bachelor s degree in Computer Science, Computer Engineering, Mathematics, Applied Statistics, or related field.
• 7+ years of relevant experience in software engineering or related technical roles.
• Expert-level experience with Kubernetes (required).
• Strong experience with cloud platforms (Azure, AWS, Google Cloud Platform).
• Hands-on experience with Terraform and infrastructure as code.
• Deep understanding of observability tools (Prometheus stack, OpenTelemetry, Grafana, etc.).
• Experience implementing security monitoring and compliance frameworks.
• Strong backend development experience (APIs, authentication, database systems).

• Experience building cloud-agnostic infrastructure.
• Experience working on AI or ML platform teams.
• Experience developing Kubernetes operators.
• Strong communication skills with the ability to lead workshops and technical sessions.
• Experience working in rapid prototyping or innovation-driven environments.

• 7+ years of professional experience in backend and cloud infrastructure engineering.