Senior Software Engineer – Product Reliability Engineering (Middleware)

Visa's Middleware Product Reliability Engineering (PRE) team in Singapore is evolving from a traditional operations team into a modern software engineering organization. We're not just keeping the lights on — we're building the intelligent systems that keep them on.

We're looking for a Software Engineer who is curious, internally driven, and excited to help shape the future of reliability engineering at Visa. You'll spend most of your time writing code — building automation, agentic AI, and platform tooling that powers reliability and availability for Visa's middleware products at global scale.

• Build Software, Not Just Scripts
• Design and ship production-grade automation frameworks, tools, and platforms that improve reliability and availability of Visa's middleware products.
• Write clean, maintainable Python, Java, or Go — code that scales, gets reviewed, and runs in production.
• Develop modular frameworks for deployment orchestration, validation, rollback, and reporting.

You'll Thrive here If you are

• Relentlessly curious – you ask *why* before *how*, never satisfied with "it works."
• Internally driven – you spot opportunities, take initiative, and follow through.
• A systems thinker – you anticipate second-order effects and design for failure modes.
• Collaborative – you thrive in cross-functional, globally distributed teams.
• An excellent communicator – you explain complex concepts clearly to any audience.
• A fast learner – you adapt and grow as technology shifts (especially with AI).
• Customer focused – reliability isn't a metric; it's a promise to those depending on Visa.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Basic Qualifications

• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• WHAT WE'RE LOOKING FOR
• 3–5 years of professional software engineering experience (or equivalent SRE/DevOps with strong coding chops).
• Bachelor's degree in Computer Science, Software Engineering, or related field — or equivalent experience.
• Proficiency in at least one programming language (Python, Java, or Go preferred) — production-quality code, not glue scripts.
• Solid foundations in data structures, algorithms, and systems design.
• Hands-on experience with DevOps tools: Jenkins, Terraform, Ansible, Docker, Kubernetes.
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Working knowledge of monitoring/observability tools (Prometheus, Splunk, Grafana, or similar).
• Strong troubleshooting, debugging, and performance tuning skills.
• Comfort in Linux/Unix environments with command-line fluency.
• Genuine curiosity about GenAI and agentic systems (OpenAI, Anthropic, LangChain).
• Bonus Points For
• Middleware experience: Tomcat, Apache, Spring Boot, JBoss, IBM MQ, IBM DataPower, Hazelcast, Kafka, Flink, SQS.
• AI/ML engineering experience or hands-on work with LLM frameworks (LangChain, LangGraph, LlamaIndex, RAG pipelines).
• Experience integrating AI agents or LLMs into production systems.
• Event-driven and streaming architectures (Kafka, Flink, SQS).
• Networking fundamentals: DNS, load balancing, service mesh, TCP/IP.
• Open-source contributions or a public engineering portfolio.
• Core technologies
• Python | Java | Go | Agentic AI / LLMs | LangChain / LangGraph | AWS / GCP / Azure | Kubernetes | Terraform / Ansible | Jenkins | Prometheus / Splunk / Grafana | Kafka / Flink | Tomcat / Spring Boot / IBM MQ / DataPower
• Why Join Us
• Global scale from day one – your code runs across 200+ countries and billions of daily transactions.
• AI-first engineering culture — we actively build and deploy agentic AI, not just discuss it.
• Clear career trajectory – paths toward Senior Engineer, Staff Engineer, Technical Lead, or Engineering Manager.
• World-class mentorship — learn from senior PRE engineers and principal architects with deep experience operating distributed systems at global scale across leading tech and fintech companies.
• Mission that matters – your work powers economic access and financial inclusion for billions.
• Investment in your growth – tuition assistance, cloud certifications (AWS, GCP, CKA), continuous learning stipends.

• Contribute to our Agentic AI initiatives — intelligent systems for monitoring, anomaly detection, self-healing, and autonomous platform operations.
• Integrate LLM frameworks (LangChain, LangGraph, agent frameworks, RAG pipelines) into production reliability workflows.
• Partner with data science teams to bring AI-driven insights into day-to-day engineering.

• Build and improve monitoring, alerting, and observability across our middleware stack.
• Drive production troubleshooting, root cause analysis, and engineer permanent fixes.
• Coordinate middleware releases, deployments, and performance tuning at global scale.

• Operate within an Agile squad – share knowledge, document playbooks, and raise the bar.
• Participate in on-call rotations with strong support structures.
• Mentor junior engineers and learn from senior PRE engineers and principal architects.

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

We're a software engineering team disguised as an SRE team. We're building agentic AI, automation frameworks, and self-healing platforms that keep Visa's middleware running across 200+ countries. If you're an engineer who loves writing code AND cares deeply about how systems behave in production — read on.