About the Role
This position involves analyzing system functionality, working with teams to resolve technical issues, and ensuring systems align with business goals through continuous evaluation and improvement.
Responsibilities
- Assess existing system architectures to identify areas for optimization
- Collaborate with engineers and product teams to define system requirements
- Document system workflows and data flow diagrams for clarity and future reference
- Diagnose and troubleshoot system performance issues
- Support integration of new technologies into existing infrastructure
- Translate business needs into technical specifications
- Monitor system performance and recommend enhancements
- Conduct root cause analysis for recurring technical problems
- Develop and maintain system documentation
- Participate in change management processes for system updates
- Ensure compliance with internal standards and security policies
- Work closely with IT and operations teams during system rollouts
- Evaluate vendor solutions and support procurement decisions
- Assist in testing system upgrades and patches
- Provide technical guidance during incident resolution
- Track and report on key system performance metrics
- Facilitate communication between technical and non-technical stakeholders
- Support disaster recovery planning and testing
- Contribute to capacity planning initiatives
- Maintain awareness of emerging technologies relevant to system architecture
Nice to Have
- Experience in AI or machine learning infrastructure
- Familiarity with containerization technologies like Docker
- Background in DevOps practices
- Knowledge of API design and integration patterns
- Experience supporting real-time data processing systems
Compensation
Competitive salary based on experience and location
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative environment within a cross-functional technology team
Our Tech Stack
- We use modern cloud infrastructure with a focus on scalability and reliability
- Primary tools include AWS, Kubernetes, Docker, and Terraform
- Our systems are built around microservices architecture
- We leverage monitoring tools like Datadog and Prometheus
- CI/CD pipelines are powered by GitHub Actions and Jenkins
Growth Opportunities
- Opportunities to lead system design initiatives
- Access to training and certification programs
- Mentorship from senior technical staff
- Chance to contribute to architectural decisions
- Pathways for advancement into technical leadership roles
Available for qualified candidates requiring work authorization
