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Job description
Responsibilities
Define and evolve the architecture for large-scale, distributed payroll processing agents and supporting services.
Drive architectural decisions across backend services, data stores, APIs, and front-end integration points.
Ensure systems are designed for high availability, correctness, scalability, observability, and regulatory compliance.
Lead architecture and design reviews; set standards for system design, code quality, and operational readiness.
Design and optimize high-throughput payroll calculation engines and batch/near-real-time processing pipelines.
Build systems that handle complex payroll rules, country/state variations, and edge cases with deterministic accuracy.
Ensure strong transactional integrity, auditability, and traceability across payroll workflows.
Troubleshoot and resolve complex issues involving data consistency, performance bottlenecks, or distributed processing failures.
Partner with AI, data science, and applied ML teams to integrate AI-driven capabilities into payroll processing flows.
Translate AI and analytical requirements into scalable, production-grade software designs.
Enable intelligent automation, anomaly detection, forecasting, or recommendations without owning model creation.
Design systems that support explainability, monitoring, and safe rollout of AI-assisted features in regulated environments.
Design data models and persistence strategies across relational (Postgres, MySQL) and NoSQL (MongoDB) systems.
Ensure efficient schema evolution, data partitioning, and performance optimization at scale.
Build and evolve APIs and services that expose payroll and analytical data securely and reliably.
Collaborate with front-end teams to support Angular-based applications and workflows.
Background in event-driven, batch, or hybrid processing architectures.
Front-end experience supporting or integrating with Angular applications.
Qualifications
8+ years of professional software engineering experience, including 3+ years operating at a senior, staff, or principal level.
Deep experience designing and building distributed systems using .NET Core and modern backend architectures.
Strong hands‑on experience with PostgreSQL, MySQL, and MongoDB, including data modeling and performance tuning.
Experience building and supporting large‑scale, business‑critical processing systems.
Proven ability to lead architecture, influence technical decisions, and mentor engineers.
Strong problem‑solving skills with the ability to break ambiguous problems into clear technical designs.
Experience collaborating with AI, ML, or data science teams to productionize analytical or intelligent capabilities.
Experience with payroll, HCM, financial, or other highly regulated enterprise systems.
Familiarity with AI concepts such as anomaly detection, rule augmentation, model inference pipelines, or decision‑support systems.
Experience designing systems with strict requirements for compliance, auditability, and data privacy.
Front-end experience supporting or integrating with Angular applications.
Background in event-driven, batch, or hybrid processing architectures.
Track record of shaping long‑term platform architecture across multiple teams or domains.
Experience modernizing legacy systems or leading large‑scale technical transformations.
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