Sr AI Engineer

Experience:

• 10+ years – Professional software engineering experience across application design, implementation, delivery, and support. REQUIRED

• 10+ years – Experience reviewing and validating code and technical artifacts against complex business rules and operational requirements. REQUIRED

• 7+ years – Experience with modern application development using C#/.NET and related backend technologies. REQUIRED

• 5+ years – Experience with React or similar modern frontend frameworks for workflow-driven or administrative applications. REQUIRED

• 5+ years – Experience with infrastructure as code, including Terraform module design, state management, and drift control. REQUIRED

• 5+ years – Experience designing and maintaining CI/CD pipelines in platforms such as Azure DevOps, GitHub Actions, or similar. REQUIRED

• 5+ years – Experience with observability practices including structured logging, metrics, tracing, dashboards, alerts, and SLOs. REQUIRED

• 5+ years – Experience working with relational and NoSQL data technologies, including SQL Server or PostgreSQL and modern NoSQL patterns for scalable application design. REQUIRED

• 3+ years – Experience with containerized deployment models, including Docker, Kubernetes, and Helm. REQUIRED

• 3+ years – Experience with event-driven architectures, message buses, and saga or state machine patterns. PREFERRED

• 3+ years – Experience using Redis for more than basic caching, including atomic operations, distributed locking, counters, or coordination patterns. PREFERRED

• 3+ years – Experience with legacy modernization or translating legacy business behavior into modern implementations. PREFERRED

Knowledge, Skills, Abilities

• Strong ability to direct AI agents using precise specifications, bounded tasks, technical constraints, and validation criteria.

• Strong ability to evaluate generated code and technical artifacts for correctness, completeness, maintainability, and fitness for production use.

• Excellent understanding of software architecture, modular design, dependency control, integration patterns, and distributed systems fundamentals.

• Strong understanding of CI/CD, infrastructure as code, release safety, rollback strategies, and production readiness practices.

• Strong knowledge of observability, including structured logging, OpenTelemetry concepts, distributed tracing, dashboards, alerts, and SLOs.

• Strong understanding of relational and NoSQL data modeling patterns, including when each is appropriate in modern application architectures.

• Practical knowledge of Redis beyond simple caching, including atomic operations, distributed locking, counter-style use cases, and coordination patterns.

• Ability to detect problematic patterns in AI-generated output, including architectural drift, hidden coupling, weak failure handling, and unnecessary complexity.

• Strong understanding of automated testing and verification approaches across unit, API, integration, component, end-to-end, infrastructure, and runtime validation layers.

• Ability to reason effectively about translated or reverse-engineered legacy business rules, even when the original implementation language is unfamiliar.

• Strong analytical, problem-solving, and risk-based decision-making skills.

• Ability to identify ambiguity in requirements and contribute corrections back into documentation and specifications.

• Ability to collaborate effectively with architecture, QE, SRE, product, and business stakeholders.

• Strong written and verbal communication skills, including the ability to turn ambiguous goals into precise technical direction.

• Ability to manage priorities, handle complexity, and maintain sound engineering judgment in a high-throughput AI-assisted environment.

• Ability to learn new tools, technologies, and agent-driven workflows quickly.

Licenses/Certifications

• AWS Certified Solutions Architect – Professional PREFERRED

• AWS Certified DevOps Engineer – Professional PREFERRED

• HashiCorp Terraform Associate PREFERRED

• Microsoft Certified: Azure Developer Associate PREFERRED

• Microsoft Certified: Azure DevOps Engineer Expert PREFERRED

• Certified Kubernetes Application Developer (CKAD) PREFERRED