Senior ServiceNow Developer

Principal GO Developer

Location:

Denver, CO

Duration: 1 year

Salary: $82,056.00 yearly

Employment Type:

Full-time

The system is a Go-based, microservice-oriented payment platform running in a containerized environment with a MySQL backend.

It supports high-throughput transaction processing and significant annual revenue, making reliability and correctness critical.

The platform originated externally and requires thoughtful, incremental improvement rather than wholesale redesign.

The work involves ongoing evolution of the system, including improving data fidelity, observability, performance, and flexibility while maintaining strict operational stability.

The platform is progressively incorporating AI/ML-driven capabilities, requiring careful integration into existing system boundaries and SDLC practices.

• Own and evolve existing Go-based services, making measured, low-risk changes that improve system capability, reliability, and clarity.
• Design and implement backend functionality for payment processing, transaction routing, reconciliation, and financial data movement with a strong focus on correctness and auditability.
• Integrate AI/ML components into the existing architecture (e.g., model inference services, decision engines, data pipelines) while ensuring system stability and auditability.
• Apply AI/ML across the SDLC, including production anomaly detection and incident prediction, log and metric analysis using ML techniques, and code quality and defect prediction tools.
• Collaborate with data science teams to operationalize ML models (deployment, monitoring, versioning, rollback strategies) within a production-grade environment.
• Proactively identify system limitations, operational risks, and data gaps, and drive pragmatic solutions with minimal oversight.
• Evaluate the impact and risk of changes in a high-throughput transactional environment, ensuring safe and controlled rollouts.
• Improve system observability, data capture, and operational insight to support both engineering and business needs, including ML-driven observability.
• Model and optimize transactional data using relational databases, with careful attention to consistency, performance, and maintainability.
• Build and maintain APIs and service interfaces with clear contracts and long-term usability in mind.
• Contribute to AI transformation initiatives, identifying where AI/ML can meaningfully enhance system reliability, fraud detection, operational efficiency, or decision-making.
• Collaborate with product, architecture, and non-technical stakeholders to ensure solutions meet business, operational, regulatory, and ethical AI governance requirements.
• Provide technical leadership by guiding design decisions, reviewing code, and mentoring engineers while maintaining a focus on simplicity and stability.
• Own services through their full lifecycle, including design, deployment, monitoring, incident response, and continuous improvement, including ML lifecycle management (MLOps).

• Go/Golang
• MySQL/Oracle/PostgreSQL
• AI/ML
• AWS

• 12+ 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 or Java-based technologies 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…