What You'll Do
- Lead modernization and migration of legacy systems to cloud-native architectures and microservices.
- Define and drive the architectural vision for scalable, event-driven distributed systems on AWS.
- Oversee engineering teams building microservices, serverless applications, relational and NoSQL databases.
- Champion adoption of AI-first approaches to improve productivity, monitoring, testing, and automation.
- Drive platform consolidation and core services migration to reduce complexity and operational costs.
- Lead, mentor, and grow a distributed engineering organization across time zones.
- Establish a culture of excellence, ownership, and collaboration.
- Ensure teams are aligned with business priorities and deliver on time with high quality.
- Ensure systems operate at scale with resiliency, performance, and observability as top priorities.
- Implement world-class monitoring, logging, and alerting frameworks for real-time visibility.
- Establish practices for cost optimization, high availability, and disaster recovery.
- Lead integration strategy with SaaS products like Salesforce, NetSuite, Workday, and other ERP platforms.
- Orchestrate large-scale ERP migrations and data consolidation initiatives.
- Drive adoption of enterprise integration tools, data warehouses, and messaging/event platforms.
- Build real-time dashboards and analytics platforms to support executive decision-making.
- Partner with product, data, and business teams to align engineering execution with business goals.
- Anticipate industry trends and position the company to leverage emerging AI and cloud-native technologies.
What You'll Need to Succeed
- 12+ years in software engineering, with 5+ years in leadership roles managing distributed teams.
- Strong background in organizational transformation, platform modernization, and ERP/core services migrations.
- Proven expertise in AWS cloud services, event-driven systems, and microservices.
- Strong background in transactional system design with high performance and reliability.
- Hands-on experience with relational (Postgres, MySQL) and non-relational databases (DynamoDB, MongoDB, etc.).
- Demonstrated success in building AI-enabled systems, automation frameworks, or ML/AI integrations.
- Strong knowledge of enterprise SaaS integration (Salesforce, NetSuite, Workday) and enterprise data platforms.
- Exceptional leadership and communication skills to guide global teams.
- Strong background in observability practices (OpenTelemetry, Prometheus, Grafana, Datadog, etc.).
- Deep understanding of enterprise data pipelines, real-time dashboards, and data warehouses (Snowflake, Redshift, BigQuery).
- Ability to work across product, engineering, data, and executive leadership to align strategy and execution.
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