This role is for a seasoned engineer who thrives at the intersection of technology and business impact. You will lead cross-functional initiatives that influence the entire organization, taking ownership from concept through delivery. Your work will directly shape the evolution of our systems architecture and engineering standards.
Key Responsibilities
- Design and drive implementation of scalable, cross-team technical projects with broad business implications
- Challenge existing technical paradigms and advocate for modern, resilient system design
- Define project scope, gather requirements, and coordinate alignment across departments
- Own end-to-end delivery of complex initiatives, ensuring quality and consistency
- Lead strategic conversations about long-term technology direction and platform evolution
- Mentor engineers across teams, fostering technical growth and best practices
- Collaborate on architecture decisions, engineering standards, and cross-departmental solutions
- Represent engineering excellence through internal knowledge sharing and external speaking
- Deliver actionable insights and recommendations based on deep technical analysis
- Support the development of long-term technical strategy across engineering domains
- Advance adoption of AI-native development and agent-based engineering models
What We're Looking For
- Proven experience building and maintaining highly available distributed systems
- Strong foundation across multiple programming languages and infrastructure platforms
- Ability to lead technical discussions and influence decision-making at scale
- Experience mentoring engineers and promoting engineering excellence
- A thoughtful, collaborative approach to leadership and innovation
- Passion for aligning technical strategy with business outcomes
Technology Environment
You'll work with a diverse set of technologies including Java, NodeJS, Python, and Go, deployed via Kubernetes and Docker on Google Cloud Platform and AWS. Infrastructure is managed using Terraform and Jenkins, with data systems spanning BigQuery, BigTable, Dataflow, RedShift, Kinesis, and managed databases like MySQL, PostgreSQL, Couchbase, and Clickhouse.
