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Lead an engineering team responsible for enterprise SaaS platform services, owning technical direction, software lifecycle, delivery, operations, quality, and modernization. Manage people, guide architecture, improve CI/CD and observability, and ensure secure, scalable, resilient systems. Drive adoption of AI-assisted and agentic development with appropriate validation and guardrails. Collaborate across engineering, platform, architecture, security, quality, and product teams while building Azure cloud-native solutions.

Leads an engineering team responsible for the full lifecycle of enterprise SaaS products, including architecture, development, deployment, operations, modernization, and continuous improvement. Provides technical direction, people leadership, delivery accountability, and cross-team collaboration. Drives cloud-native engineering, CI/CD, quality, resilience, observability, and secure development while leading adoption of AI-assisted and agentic engineering practices.

Lead design engineering for the enterprise design system, creating AI-consumable components and working prototypes. Drive accessibility, frontend foundations, agentic UI generation, governance, and lead a blended UI engineering team.

Owns new-logo enterprise sales within a defined territory, including pipeline development, complex opportunity management, forecasting, and closing. The role sells SaaS compliance solutions to regulated financial institutions, navigates multi-stakeholder buying processes, and translates regulatory, risk, and audit challenges into solutions. Success requires consultative selling, quota achievement, CRM discipline, and collaboration across Compliance, Legal, Risk, IT, Procurement, and other internal teams.

Designs, builds, and operates secure, scalable AWS infrastructure for a multi-account B2B SaaS platform. Responsibilities include Terraform-based provisioning, ECS and distributed systems operations, networking, IAM, databases, Kafka, monitoring, CI/CD, disaster recovery, incident response, cost optimization, and compliance support. The engineer partners with application and security teams, maintains documentation and runbooks, and contributes to reliability and automation improvements.

Lead and execute StarCompliance's data and AI strategy: build a governed data foundation, deliver production-grade LLM and ML capabilities (RAG, semantic search, vector DBs), establish MLOps, and grow a cross-functional Data & AI team aligned with product and business priorities in a regulated financial environment.

Design, implement, and maintain integration- and API-level automated tests for a distributed, cloud-native SaaS platform. Validate asynchronous/event-driven workflows and failure modes, build performance and scalability tests and data, integrate tests into CI/CD, analyse test results and telemetry, and collaborate with product and engineering teams to improve reliability, observability, and release readiness.

Design, implement, and maintain integration- and API-level automated tests for a distributed, cloud-native SaaS platform. Validate asynchronous/event-driven workflows, build performance and scalability tests, integrate tests into CI/CD pipelines, analyze failures with logs/telemetry, and collaborate with product and engineering teams to improve reliability, observability, and release readiness.