Key Responsibilities
Design, develop, test, deploy, and operate scalable, secure, and highly available software solutions.
Build cloud-native applications and services on Google Cloud Platform (GCP) leveraging Kubernetes (GKE), containerization, CI/CD pipelines, observability, and infrastructure automation.
Design and implement distributed systems capable of supporting high transaction volumes with strict latency and availability requirements.
Drive performance engineering initiatives including throughput optimization, latency reduction, capacity planning, application profiling, and scalability improvements.
Design, implement, and support modern deployment strategies including Canary Deployments, Blue-Green Deployments, feature flags, and automated rollback mechanisms.
Translate business requirements into extensible, resilient, and maintainable technical solutions.
Lead architecture discussions, design reviews, and technical decision-making processes.
Develop high-quality code while enforcing engineering best practices including secure coding, automated testing, code reviews, and operational readiness.
Troubleshoot complex production issues, perform root-cause analysis, and drive long-term reliability improvements.
Improve platform reliability, scalability, security, observability, and operational efficiency through automation and continuous improvement.
Collaborate with Product, Architecture, Security, SRE, DevOps, and other cross-functional teams to deliver enterprise-grade solutions.
Mentor engineers and contribute to a strong engineering culture focused on ownership, innovation, and continuous learning.
Leverage agentic workflows to improve developer productivity, code quality, testing effectiveness, and operational efficiency.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.
Preferred Qualifications
12+ years of software engineering experience in enterprise, fintech, payments, or highly regulated environments.
Strong hands-on experience with Google Cloud Platform (GCP), including GKE, Cloud Monitoring, Cloud Logging, cloud networking, and cloud security services.
Deep expertise in Java/J2EE, RESTful APIs, microservices, and distributed systems.
Experience with Kubernetes, Docker, CI/CD, and modern software delivery practices.
Strong understanding of testing, debugging, troubleshooting, and production support.
Experience designing, developing, and operating high-throughput, low-latency applications that process large transaction volumes while maintaining stringent SLA and SLO commitments.
Proven success delivering measurable performance improvements, including application optimization, throughput scaling, latency reduction, JVM tuning, caching strategies, and database performance enhancements.
Experience conducting performance testing, load testing, stress testing, benchmarking, and capacity planning for large-scale distributed systems.
Experience implementing and operating Canary Deployments, Blue-Green Deployments, feature flags, progressive delivery, and automated rollback strategies.
Experience building fault-tolerant systems with active-active architectures, resiliency patterns, graceful degradation, and automated recovery mechanisms.
Strong understanding of Infrastructure as Code (Terraform), deployment automation, and DevOps practices.
Experience with observability platforms, monitoring, logging, tracing, alerting, and operational analytics.
Strong understanding of production operations, incident management, root cause analysis, and operational excellence.
Experience designing API-first architectures, secure service communications, and enterprise integration patterns.
Demonstrated ability to mentor engineers and influence technical direction across multiple teams.
Experience leveraging AI-assisted development tools and automation to improve engineering efficiency and software quality.
Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,300.00 to $ 307,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
