Lead Software Engineer - Cloud Native Platforms (GCP)

Experteer Overview As a Lead Software Engineer, you will design, build, and operate secure, scalable cloud-native platforms on Google Cloud Platform (GCP) to support high-volume, globally distributed payments. You will lead engineering excellence across application development, distributed systems, and production operations while mentoring others. You’ll collaborate with cross-functional teams to deliver enterprise-grade, reliable solutions that meet strict latency and availability targets. This role offers impact at scale and an opportunity to shape platform reliability and performance in a dynamic fintech environment. Compensation / Benefits * Design, develop, test, deploy, and operate scalable, secure, and highly available software solutions. * Build cloud-native apps on GCP using Kubernetes (GKE), containers, CI/CD, observability, and automation. * Design distributed systems supporting high transaction volumes with strict latency/availability goals. * Lead performance initiatives: throughput, latency, capacity planning, profiling, and scalability. * Implement modern deployment strategies: Canary, Blue-Green, feature flags, automated rollback. * Translate business requirements into resilient, maintainable technical solutions. * Lead architecture discussions, design reviews, and technical decision-making. * Develop high-quality code with secure coding, automated testing, reviews, and operational readiness. * Troubleshoot production issues, perform root-cause analysis, and drive reliability improvements. * Improve platform reliability, scalability, security, observability, and efficiency through automation. * Collaborate with Product, Architecture, Security, SRE, DevOps, and cross-functional teams. * Mentor engineers and contribute to a culture of ownership, innovation, and continuous learning. * Leverage agentic workflows to boost developer productivity, code quality, and testing efficiency. Tasks * 10+ years of relevant work experience with a Bachelor’s Degree, or 7+ years with advanced degree, or 4 years with PhD, or 13+ years total experience * Strong hands-on experience with Google Cloud Platform (GCP), including GKE, Cloud Monitoring, Cloud Logging, networking, and security services * Deep expertise in Java/J2EE, RESTful APIs, microservices, and distributed systems * Experience with Kubernetes, Docker, CI/CD, and modern software delivery practices * Proven ability to design high-throughput, low-latency applications for large transaction volumes with stringent SLAs/SLOs * Track record of performance improvements (throughput, latency, JVM tuning, caching, db performance) * Experience with performance testing, load/stress testing, benchmarking, and capacity planning * Experience with Canary/Blue-Green deployments, feature flags, progressive delivery, and automated rollback * Experience building fault-tolerant, active-active systems with resiliency and automated recovery * Strong knowledge of Infrastructure as Code (Terraform), deployment automation, and DevOps practices * Experience with observability (monitoring, logging, tracing, alerting) and operational analytics * Experience in production operations, incident management, root cause analysis, and operational excellence * API-first architecture design, secure service communications, and enterprise integration patterns * Ability to mentor engineers and influence technical direction across multiple teams * Experience leveraging AI-assisted development tools and automation to improve efficiency Key requirements * Medical, Dental, Vision * 401(k) * FSA/HSA * Life Insurance * Paid Time Off * Wellness Program

throughput, latency, capacity planning, profiling, and scalability. * Implement modern deployment strategies: Canary, Blue-Green, feature flags, automated rollback. * Translate business requirements into resilient, maintainable technical solutions. * Lead architecture discussions, design reviews, and technical decision-making. * Develop high-quality code with secure coding, automated testing, reviews, and operational readiness. * Troubleshoot production issues, perform root-cause analysis, and drive reliability improvements. * Improve platform reliability, scalability, security, observability, and efficiency through automation. * Collaborate with Product, Architecture, Security, SRE, DevOps, and cross-functional teams. * Mentor engineers and contribute to a culture of ownership, innovation, and continuous learning. * Leverage agentic workflows to boost developer productivity, code quality, and testing efficiency. Tasks * 10+ years of relevant work experience with a Bachelor’s Degree, or 7+ years with advanced degree, or 4 years with PhD, or 13+ years total experience * Strong hands-on experience with Google Cloud Platform (GCP), including GKE, Cloud Monitoring, Cloud Logging, networking, and security services * Deep expertise in Java/J2EE, RESTful APIs, microservices, and distributed systems * Experience with Kubernetes, Docker, CI/CD, and modern software delivery practices * Proven ability to design high-throughput, low-latency applications for large transaction volumes with stringent SLAs/SLOs * Track record of performance improvements (throughput, latency, JVM tuning, caching, db performance) * Experience with performance testing, load/stress testing, benchmarking, and capacity planning * Experience with Canary/Blue-Green deployments, feature flags, progressive delivery, and automated rollback * Experience building fault-tolerant, active-active systems with resiliency and automated recovery * Strong knowledge of Infrastructure as Code (Terraform), deployment aaaaaaaaa

• and DevOps practices * Experience with observability (monitoring, logging, tracing, alerting) and operational analytics * Experience in production operations, incident management, root cause analysis, and operational excellence * API-first architecture design, secure service communications, and enterprise integration patterns * Ability to mentor engineers and influence technical direction across multiple teams * Experience leveraging AI-assisted development tools and automation to improve efficiency Key requirements * Medical, Dental, Vision * 401(k) * FSA/HSA * Life Insurance * Paid Time Off * Wellness Program