Staff Software Engineer- Eng

UKG•Alpharetta, GA

About The Position

The Staff Software Engineer- Eng is a senior individual contributor role within UKG’s Payroll engineering organization. This position is for experienced engineers who operate as technical leaders across teams, owning complex problem spaces and driving the design, delivery, and operational excellence of critical payroll capabilities within UKG’s SaaS platform. In this role, you will work at a system level, leading complex initiatives that span services and teams. You will remain deeply hands-on while influencing technical direction, mentoring engineers, and ensuring UKG’s payroll systems meet the highest standards for correctness, scalability, security, and compliance in a regulated domain.

Requirements

6+years of professional software engineering experience.
Proven experience leading complex technical initiatives in large-scale SaaS or enterprise systems.
Strong hands-on expertise with .NET Core and backend service development.
Deep experience with distributed systems and data-intensive applications.
Significant experience designing and operating systems on Google Cloud Platform.
Ability to drive technical direction through influence, collaboration, and strong technical judgment.

Nice To Haves

Experience in payroll, HCM, financial services, or other highly regulated domains.
Hands-on experience with GCP services such as GKE, Pub/Sub, BigQuery, Cloud SQL, or Spanner.
Experience with event-driven, batch, or hybrid payroll processing architectures.
Familiarity with infrastructure-as-code tools (e.g., Terraform).
Experience modernizing legacy systems or leading multi-phase refactoring efforts.
Exposure to AI/ML-enabled systems in production environments.
Experience supporting multi-tenant SaaS platforms at scale.

Responsibilities

Act as the technical lead for one or more major payroll domains, services, or processing flows.
Drive the design and delivery of cross-team initiatives that impact system reliability, performance, and scalability.
Make and communicate sound technical decisions within your domain, aligning with architectural standards and long-term platform goals.
Identify systemic risks, technical debt, and architectural gaps, and lead efforts to address.
Design and evolve high-volume payroll processing systems with strict requirements for accuracy, auditability, and determinism.
Own complex payroll logic, edge cases, and regulatory-driven changes across multiple geographies or tenants.
Ensure payroll data flows, calculations, and integrations are resilient, traceable, and compliant.
Lead deep technical investigations into production incidents, payroll discrepancies, and performance issues.
Design scalable backend services and APIs using modern architectural patterns (microservices, event-driven systems, batch/streaming hybrids).Apply distributed systems principles including idempotency, data consistency, fault tolerance, and back-pressure.
Guide data modeling and storage decisions across relational and NoSQL technologies.
Drive adoption of modern patterns such as domain-driven design, contract-first APIs, and asynchronous messaging.
Design, build, and operate services on Google Cloud Platform (GCP).
Leverage GCP services such as GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL, Spanner, and Cloud Storage where appropriate.
Ensure cloud-native best practices for scalability, cost efficiency, security, and reliability.
Partner with platform teams on infrastructure-as-code, CI/CD pipelines, and environment standardization.
Set and uphold high standards for code quality, testing, observability, and operational readiness.
Champion automated testing, deployment, and rollback strategies.
Design for resiliency using patterns such as retries, circuit breakers, and graceful degradation.
Improve system observability through structured logging, metrics, and distributed tracing.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, and technical coaching.
Influence technical direction across multiple teams without formal authority.
Lead design reviews and contribute to technical standards and best practices.
Share knowledge through documentation, internal forums, and technical presentations.
Apply modern development practices including: .NET Core and modern C# for backend services Event streaming and messaging (e.g., Pub/Sub, Kafka) Containerization and orchestration (Docker, Kubernetes) API design standards (REST, gRPC, OpenAPI) Data processing and analytics integrations
Evaluate and responsibly adopt new technologies that improve system reliability, developer productivity, or customer outcomes.
Collaborate with AI and data teams to integrate intelligent validation, automation, or anomaly detection into payroll workflows.