Back
Metro location and attractive senior engineering title increase competition, but seniority and specialty moderate density.
Core backend and cloud skills are transferable, though platform/AI integration preference increases domain specificity moderately.
Explicit 10+ years and staff-level requirement plus specific cloud, Kubernetes, and observability skills raise strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end technical leadership for major platform components including architecture, design, implementation, testing, deployment, and operation.
Architect scalable, maintainable cloud-native services that adapt to evolving product requirements and user load.
Integrate and evangelize AI-assisted development tools across the engineering workflow while collaborating cross-functionally to translate business requirements into robust technical solutions.
10+ years of software engineering experience, with at least 2 years in a staff-level or equivalent role.
Deep expertise in backend systems, platform engineering, cloud infrastructure, data engineering, or AI/ML integration.
Proficiency in at least one backend language (e.g., Java, Go, Python, Node.js) and hands-on experience with Kubernetes, Helm, Terraform, and modern CI/CD tools.
Work Experience Required: 10+ years including 2+ years at staff engineer level.
Demonstrates strong cross-functional collaboration and ability to deliver complex software systems that other teams depend on, balancing speed and quality under ambiguity.
Actively uses AI-native development tools daily and has interest in integrating AI/ML into product features or workflows.
Experienced in cloud-native microservices architecture, observability practices, and able to mentor and influence engineering culture and practices.