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Metro location plus broad backend/cloud/observability requirements increase applicant competition to medium.
Core backend and distributed-systems skills are transferable, though payroll/compliance domain knowledge adds some bias.
Explicit 8+ years plus mandatory backend, cloud, observability, and security experience makes filters strict.
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Lead design and delivery of scalable, secure payroll and compliance software solutions across distributed systems and cloud-native environments.
Drive engineering excellence including AI-assisted development, observability, incident management, and operational improvements throughout the software lifecycle.
Mentor engineers and collaborate cross-functionally to influence technical direction, ensuring compliance, security, and platform scalability.
Bachelor's degree in Computer Science, Engineering, or related technical field.
8+ years of professional software engineering experience.
Strong experience in Java and/or Python, SQL, cloud platforms (GCP, AWS, Azure), distributed caching (Redis/Hazelcast), and observability tools (Grafana, Kibana, OpenTelemetry).
Demonstrated ability in leading complex technical initiatives, troubleshooting production issues, secure software development, and AI-assisted engineering practices.
Experienced in designing and operating high-volume, secure payroll or compliance-related distributed systems in cloud-native environments.
Comfortable taking unified end-to-end ownership from requirements through production with a strong AI-first engineering mindset.
Proven technical leader able to influence multi-team engineering practices, operational excellence, and promote AI-driven productivity improvements.