Lead Infrastructure Engineer, Payments Technology
JPMorgan Chase
- Singapore
- Permanent
- Full-time
- Build Infrastructure As Code (IaC) using Terraform.
- Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
- Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels
- Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
- Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
- Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
- Documents and shares knowledge within your organization via internal forums and communities of practice
- Drives a workstream or project consisting of one or more infrastructure engineering technologies
- Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
- Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity
- Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions
- Adds to team culture of diversity, equity, inclusion, and respect
- Bachelor's degree in Computer Engineering or equivalent.
- Minimum 5 years of experience required
- Deep proficiency in Terraform
- Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform
- Fluency in at least one programming language such as (e.g., Python, Java Spring Boot, .Net, etc.)
- Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
- Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
- Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
- Drives to continue to develop technical and cross-functional knowledge outside of the product
- Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
- AWS Exposure (Understanding and working experience in AWS applications, and understanding of resiliency, scalability, observability, monitoring etc,)
- Experience deploying and managing services on modern platforms (AWS, GCP, Azure)
- Ability to identify and solve problems related to complex data structures and algorithms
- Drive to self-educate and evaluate new technology