Middleware Observability Specialist

Enhance our observability strategy for middleware infrastructure to ensure Always On availability for critical payment systems.

As a skilled Software Developer, you will work with a global team to implement modern monitoring solutions, integrate with AI ML frameworks, and drive automation initiatives that guarantee exceptional reliability and performance of our middleware services.

• Key Responsibilities
• Lead the review and enhancement of our observability strategy for the middleware portfolio, integrating with Prometheus, Grafana, and Splunk to ensure comprehensive coverage and effectiveness.
• Play a key role in our migration from Splunk to ELK stack, ensuring seamless transition and improved functionality.
• Develop and maintain integrations with internal AI ML frameworks to enhance operational support and incident response.
• Evaluate opportunities and implement OpenTelemetry (OTEL) across our middleware stack.
• Design and implement observability strategies for middleware products deployed on public cloud platforms (AWS, Azure, GCP).
• Develop deep expertise in our middleware technologies, including webservers, application servers, Hazelcast, and IBM DataPower.
• Identify and implement automation opportunities using Python to streamline operations and enhance reliability.
• Participate in on-call rotations to provide critical support for middleware infrastructure, troubleshooting complex issues in production environments.

What You Will Gain

• Your work will directly contribute to the reliability of systems processing billions of transactions globally.
• Opportunity to implement cutting-edge observability solutions and AI ML integrations.
• Continuous learning environment with exposure to diverse technologies and cloud platforms.
• Collaborative work atmosphere with talented engineers.
• Hybrid work model with a balance of remote and office-based collaboration.

Qualifications

Required Qualifications:

• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred Qualifications:

• 5+ years of experience working with observability solutions (Prometheus, Grafana, Splunk, ELK).
• Strong Python coding experience for developing automation tools and integrations.
• Working knowledge of middleware products (e.g., Tomcat, Apache, JBoss, Hazelcast, IBM DataPower).
• Experience with monitoring and logging infrastructure design and implementation.
• Familiarity with public cloud platforms (AWS, Azure, GCP) and their monitoring capabilities.
• Understanding of infrastructure-as-code principles using tools like Terraform or Ansible.
• Experience with CI CD pipelines and practice.
• Experience with OpenTelemetry (OTEL) implementation.
• Knowledge of AI ML integration for operational tooling.
• Experience with containerization technologies (Docker, Kubernetes).
• Background in Site Reliability Engineering or similar operational roles.
• Experience with middleware performance tuning and optimization.
• Understanding of security best practices for middleware components.

The Skills We Seek

• Problem-solving excellence with exceptional analytical abilities to quickly identify and resolve complex technical issues.
• Automation mindset with passion for automating repetitive tasks and creating scalable solutions.
• Continuous learning with a focus on learning new technologies and transferring knowledge to others.
• Collaborative approach with effective communication with both technical and non-technical stakeholders.
• Operational focus with understanding of the importance of reliability and performance in production environments.
• Adaptability with comfort working in a dynamic environment and prioritizing multiple tasks effectively.