Principal GO Developer

Role: Principal GO Developer Duration: 12+ months Location: Denver, CO Job Description: Mandatory Skills GO/Golang, MySQL/Oracle/PostgreSQL, AL/ML, AWS Optional Skills Java, Python, Kubernetes, Docker Required Qualifications • 12 plus years of experience in software engineering, demonstrated experience building and operating production-critical backend systems with meaningful business or revenue impact. • Strong hands-on experience with Go/Golang in real-world production environments. • Experience integrating AI/ML solutions into enterprise systems, including deploying, consuming, or operationalizing ML models. • Understanding of AI/ML concepts such as supervised/unsupervised learning, model evaluation, inference pipelines, and data quality considerations. • Experience applying AI/ML within SDLC processes (e.g., testing, monitoring, observability, or developer productivity tooling). • Deep experience with relational databases (e.g., MySQL, PostgreSQL, Oracle), including schema design, transactional modeling, and performance optimization. • Strong understanding of transactional systems, including data integrity, idempotency, reconciliation, auditability, and failure handling. • Proven ability to make pragmatic, low-complexity design decisions in distributed systems. • Experience working within and improving existing systems with real-world constraints, rather than primarily greenfield environments. • Ability to independently identify problems, define solutions, and drive execution to completion. • Strong communication skills, including the ability to work effectively with both technical and non-technical stakeholders.

Preferred Qualifications • Experience with payment systems, financial transaction platforms, or other high-integrity data domains. • Experience supporting systems with high transaction volume, low latency requirements, or strict uptime expectations. • Familiarity with MLOps practices, including model deployment, monitoring, drift detection, and lifecycle management. • Experience with real-time or near real-time ML inference systems in production environments. • Familiarity with secure data handling, privacy considerations, and ethical AI practices in regulated environments. • Experience with containerized or cloud-based deployment environments Show more Show less