Senior Software Engineer – Product Reliability Engineering (Middleware)

Location: Singapore; hybrid position with office attendance expectations confirmed by the Hiring Manager

Company

hirify.global provides global payments technology supporting transactions across more than 200 countries and territories.

What you will do

• Design and ship production-grade automation frameworks, tools, and platforms for hirify.global's middleware products.
• Write maintainable Python, Java, or Go code and develop modular deployment, validation, rollback, and reporting frameworks.
• Build agentic AI capabilities for monitoring, anomaly detection, self-healing, and autonomous platform operations.
• Integrate LLM frameworks, RAG pipelines, and agent frameworks into production reliability workflows.
• Improve monitoring, alerting, observability, troubleshooting, root cause analysis, and performance tuning.
• Coordinate releases and deployments, contribute within an Agile squad, participate in on-call rotations, and mentor junior engineers.

Requirements

• 2+ years of relevant experience with a Bachelor's degree, or 5+ years of relevant experience; typically 3–5 years of professional software engineering or equivalent SRE/DevOps experience.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• Production-quality programming experience with Python, Java, or Go, with solid foundations in data structures, algorithms, and systems design.
• Hands-on experience with Jenkins, Terraform, Ansible, Docker, Kubernetes, cloud platforms, and monitoring or observability tools.
• Strong troubleshooting, debugging, performance tuning, and Linux/Unix command-line skills.
• Curiosity about GenAI and agentic systems, including OpenAI, Anthropic, LangChain, or related technologies.

Nice to have

• Middleware experience with Tomcat, Apache, Spring Boot, JBoss, IBM MQ, IBM DataPower, Hazelcast, Kafka, Flink, or SQS.
• AI/ML engineering experience or hands-on work with LangChain, LangGraph, LlamaIndex, RAG pipelines, or production AI agents.
• Experience with event-driven and streaming architectures, networking fundamentals, open-source contributions, or a public engineering portfolio.

Culture & Benefits

• Work on systems operating at global scale across 200+ countries and billions of daily transactions.
• AI-first engineering environment focused on building and deploying agentic AI.
• Career paths toward Staff Engineer, Technical Lead, or Engineering Manager roles.
• Mentorship from senior PRE engineers and principal architects experienced in distributed systems.
• Tuition assistance, cloud certification support, and continuous learning stipends.