
Middleware Architect
1 day ago
We're seeking a seasoned reliability engineer to join our middleware team. As a member of this diverse group, you'll be instrumental in ensuring the seamless flow of transactions across the world's largest payment network.
Key Responsibilities:
- Design and implement solutions that maintain Always On availability for our middleware services
- Create intelligent automation for monitoring, deployment, and incident response
- Investigate complex technical issues and prevent future incidents
- Contribute to the evolution of our middleware from traditional to cloud-native solutions
- Collaborate with engineers globally to build, support, and deploy middleware services
- Impact: Your work will help process millions of transactions, enabling global commerce
- Growth Opportunities: Regular learning sessions, mentorship programs, and exposure to cutting-edge technology
- Work-Life Integration: Hybrid work model (2-3 days in office) with flexible scheduling
- Inclusive Culture: Join a team that promotes diverse perspectives and collaborative problem-solving
Our team values diversity, teaching, learning from each other, work-life balance, innovation, experimentation, personal growth, and career development.
Impact & Growth- Shape reliability standards for global payment systems
- Mentor and be mentored by talented engineers
- Drive automation and observability initiatives
- Influence architectural decisions
- Build systems that process billions in transactions
This is a hybrid position. Employees can alternate time between remote and office work. A general guidepost is being in the office 50% or more of the time based on business needs.
QualificationsBasic Qualifications:
- 3+ years of experience with a Bachelor's Degree or more than 2 years of experience with an Advanced Degree
Core Skills:
- Experience with modern middleware technologies such as Tomcat, Apache, Springboot, SQS, JBoss, IBM MQ, IBM DataPower, Hazelcast, Flink, Connect Direct, SSL
- Understanding of Linux/Unix systems, networking, cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and infrastructure-as-code tools (Terraform, Ansible)
- Proficiency with monitoring tools (Prometheus, Grafana, Datadog), logging systems (ELK stack, Splunk), and tracing tools (Jaeger, Zipkin)
- Proven track record of automating complex tasks and processes using Python, Go, Java, or similar
Technical Areas for Growth:
- Cloud & System Architecture: Design scalable, resilient systems across hybrid cloud platforms
- AI/ML Operations: Support and optimize ML model deployment pipelines and monitoring systems
- Observability & Performance: Master advanced monitoring, tracing, and performance optimization techniques
- Automation & Intelligence: Build smart alerting systems and automated remediation workflows
- Distributed Systems: Design and maintain globally distributed payment processing systems
- Solving complex problems energizes you
- You believe in automation over manual processes
- Sharing knowledge and mentoring others excites you
- Comfortable with ambiguity and rapid change
- Building reliable systems over quick fixes is your priority
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