————————————————— Ensure applications adhere to secure coding practices and compliance requirements. Drive secure handling of payroll, tax, financial, and personally identifiable information (PII). Advocate for auditability, data governance, and security-by-design principles throughout the development lifecycle. Mentorship & Engineering Excellence Mentor and coach engineers through design reviews, code reviews, pair programming, and technical guidance. Promote engineering best practices related to testing, observability, maintainability, and operational ownership. Raise the technical bar across the team through continuous improvement initiatives and knowledge sharing. Unified Engineering Ownership Take end-to-end ownership across requirements, design, development, testing, deployment, monitoring, and production support. Lead small to medium-sized projects and coordinate technical efforts across multiple contributors. Collaborate effectively with product management, compliance teams, customer support, and other engineering teams to deliver customer-focused solutions. Lead the design, development, and delivery of complex software solutions supporting payroll, compliance, and enterprise applications. Drive technical design discussions and influence architectural decisions that improve scalability, maintainability, security, and performance. Evaluate technology choices, identify technical risks, and recommend solutions aligned with business objectives. Partner with architects and senior engineering leaders to evolve platform capabilities and engineering standards. Software Development Design and develop scalable backend APIs, distributed systems, and cloud-native services. Deliver high-quality, maintainable, and testable software using modern engineering practices. Drive performance optimization initiatives across services, APIs, and data processing workflows. Contribute to modernization efforts that improve system reliability, developer productivity, and operational efficiency. AI-First Engineering Champion AI-assisted software development practices across the team. Utilize AI tools to accelerate requirements analysis, design reviews, code generation, testing, documentation, troubleshooting, and operational workflows. Mentor engineers on effective and responsible use of AI throughout the SDLC. Identify opportunities to improve engineering productivity through automation and AI-enabled workflows. Reliability, Observability & Operations Lead production incident response, root cause analysis, and long-term corrective actions. Drive improvements in observability, telemetry, monitoring, alerting, and service health. Establish operational excellence practices that improve system resiliency and reduce customer impact. Partner with SRE and platform teams to improve service reliability and operational maturity. Bachelor's degree in Computer Science, Engineering, or related technical field. Proven experience designing and delivering scalable backend services, APIs, and distributed systems. Hands-on experience with cloud platforms such as GCP, AWS, or Azure. Experience with distributed caching technologies such as Redis and/or Hazelcast. Strong experience with observability platforms including Grafana, Kibana, OpenTelemetry, or similar technologies. Demonstrated ability to lead complex technical initiatives from design through production. Proven experience troubleshooting and resolving complex production issues. Strong understanding of secure software development and handling of sensitive customer data. Demonstrated AI-first engineering mindset with hands-on use of AI-assisted development tools and workflows. Strong ownership mentality as a unified engineer with experience operating services throughout the full SDLC. Experience in payroll, tax, HR, fintech, compliance, or other highly regulated domains. Understanding of U.S. and/or Canadian payroll processing concepts. Knowledge of CI/CD, Infrastructure as Code, and modern DevOps...
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