Software Systems Engineer

We are seeking a skilled Software Developer to join our Middleware Reliability Engineering team. In this role, you will be responsible for enhancing our observability strategy across our middleware infrastructure, helping us maintain Always On availability for critical payment systems.

You'll work with a global team to implement modern monitoring solutions, integrate with AI ML frameworks, and drive automation initiatives that ensure exceptional reliability and performance of our middleware services.

The ideal candidate will possess exceptional analytical abilities to quickly identify and resolve complex technical issues, with a focus on root cause analysis and permanent solutions.

• Observability Transformation: 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
• Migration Support: Play a key role in our migration from Splunk to ELK stack, ensuring seamless transition and improved functionality
• AI ML Integration: Develop and maintain integrations with internal AI ML frameworks to enhance operational support and incident response
• OTEL Implementation: Evaluate opportunities and implement OpenTelemetry (OTEL) across our middleware stack
• Cloud Observability: Design and implement observability strategies for middleware products deployed on public cloud platforms (AWS, Azure, GCP)
• Technology Mastery: Develop deep expertise in our middleware technologies, including webservers, application servers, Hazelcast, and IBM DataPower
• Automation Development: Identify and implement automation opportunities using Python to streamline operations and enhance reliability
• 24x7 Support: Participate in on-call rotations to provide critical support for middleware infrastructure, troubleshooting complex issues in production environments

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.

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.

• 5+ years of experience working with observability solutions (Prometheus, Grafana, Splunk, ELK)
• Experience with OpenTelemetry (OTEL) implementation
• Knowledge of AI ML integration for operational tooling
• Background in Site Reliability Engineering or similar operational roles

Impact: Your work will directly contribute to the reliability of systems processing billions of transactions globally.

Innovation: Opportunity to implement cutting-edge observability solutions and AI ML integrations.

Growth: Continuous learning environment with exposure to diverse technologies and cloud platforms.

Collaboration: Work with talented engineers in a collaborative, inclusive team environment.

Flexibility: Hybrid work model with a balance of remote and office-based collaboration.

Problem-Solving Excellence: You possess exceptional analytical abilities to quickly identify and resolve complex technical issues, with a focus on root cause analysis and permanent solutions.

Automation Mindset: You're passionate about automating repetitive tasks and creating scalable solutions.

Continuous Learning: You thrive on learning new technologies and transferring knowledge to others.

Operational Focus: You understand the importance of reliability and performance in production environments.

Adaptability: You're comfortable working in a dynamic environment and can prioritize multiple tasks effectively.