BizOps Engineer

Mandatory Skills: Jenkins CI/CD Bit Bucket/Git Lab/Git Hub Splunk Dynatrace Chef Habitat PCF Cloud/AWS/AZURE Programming Language (Python/Groovy) Disaster Recovery Activity Vulnerability Management Functions of Switch DNS

Specific Skills:

It is not expected that any single candidate would have expertise across all these areas, but a Biz Ops engineer will spend a bit of time throughout their career with all of these aspects of the role:

Operational Readiness Architect:
Serve as the primary contact responsible for the overall application health, performance, and capacity.
Support services before they go live through activities such as system design consulting, capacity planning and launch reviews.
Partner with the development and product team of a new application to establish the right monitoring and alerting strategy and create the framework to achieve zero downtime during deployment.

Site Reliability Engineering:
Serve as the primary contact responsible for ensuring application scalability, performance, and resilience.
Practice sustainable incident response and blameless post-mortems while taking a holistic approach to problem solving and optimizing time to recover.
Automate data-driven alerts to proactively escalate issues. Work with development teams to establish SLOs and improve reliability.

DevOps/Automation:
Tackle complex development, automation, and business process problems. Engage in and improve the whole life cycle of services-from inception and design, through deployment, operation, and refinement.
Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead Mastercard in DevOps automation and best practices.
Increase automation and tooling to reduce toil and manual intervention

ITSM Practices:
Analyses ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns.

Role Qualifications
The ideal candidate will have experience in many of these areas:
BS degree in Computer Science or related technical field involving coding (eg, physics or mathematics), or equivalent practical experience.
Coding or Scripting exposure.
Appetite for change and pushing the boundaries of what can be done with automation. Be curious about new technology, infrastructure, and practices to scale our architecture and prepare for future growth.
Experience with algorithms, data structures, Scripting, pipeline management, and software design
Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
Interest in designing, analysing, and troubleshooting large-scale distributed systems.
Willingness and ability to learn and take on challenging opportunities and to work as a member of Matrix based diverse and geographically distributed project team.
Ability to balance doing things right with fixing things quickly. Flexible and pragmatic, while working towards improving the long-term health of the system.
Comfortable collaborating with cross-functional teams to ensure that expected system behaviour is understood and monitoring exists to detect anomalies.