ShiftCode Analytics, Inc. · 21 hours ago
System Performance Engineer - Lead SE : Mastercard
ShiftCode Analytics, Inc. is looking for a System Performance Engineer to lead efforts in application and system performance within a cloud environment. The role involves troubleshooting performance bottlenecks across distributed systems and ensuring that services meet their service-level objectives (SLOs).
AnalyticsConsultingInformation Technology
Responsibilities
Define service-level objectives (SLOs), performance budgets, and latency/throughput targets across services
Architect and champion comprehensive distributed tracing strategies (Dynatrace, AWS X-Ray, etc.)
Analyze application, platform, and cloud behavior using deep-dive techniques such as heap dumps, thread dumps, flame graphs, GC logs, network traces, and storage I/O profiling
Review service and system architectures for performance risks (e.g., synchronous hops, excessive dependencies, misconfigured connection pools, poor cache placement)
Conduct and lead root-cause analysis for performance incidents in production and pre-production environments
Develop capacity models and performance baselines for services running across cloud environments
Qualification
Required
High-volume transaction background like brokerage trading services, payment services, gaming, large scale online retail (Walmart, Amazon, Netflix)
Ability to troubleshoot across entire application and technology stack in a cloud environment
Capability to go beyond diagnoses of the symptoms to the root cause problem and determine a path for resolution
Knowledge in Spring Boot
Experience with high-scale, multi-region, and high-transaction platforms (e.g., financial systems, payment processing, or large enterprise SaaS) running in a Cloud environment
Define service-level objectives (SLOs), performance budgets, and latency/throughput targets across services
Architect and champion comprehensive distributed tracing strategies (Dynatrace, AWS X-Ray, etc.)
Analyze application, platform, and cloud behavior using deep-dive techniques such as heap dumps, thread dumps, flame graphs, GC logs, network traces, and storage I/O profiling
Review service and system architectures for performance risks (e.g., synchronous hops, excessive dependencies, misconfigured connection pools, poor cache placement)
Conduct and lead root-cause analysis for performance incidents in production and pre-production environments
Develop capacity models and performance baselines for services running across cloud environments
Application Layer: Spring Boot internals, JVM tuning, thread/heap management, concurrency debugging, GC optimization
Container Runtime: PCF, Docker, container resource limits, CPU throttling, memory pressure
Orchestrators: PCF, Kubernetes, ECS (autoscaling, pod health, scheduling issues)
Networking: Service-to-service hops, TLS overhead, DNS, routing, load balancer configs (F5, Nginx, ALB/NLB), service mesh performance
Storage: Latency, IOPS constraints, distributed file system behavior
Caching & Middleware: Redis, Hazelcast, NATS, Kafka, RabbitMQ configuration and throughput tuning
Databases: Connection pool tuning, slow queries, indexing, replication lag
Cloud Layer: AWS compute/storage/network performance, regional latency, cross-cloud traffic patterns
Company
ShiftCode Analytics, Inc.
ShiftCode Analytics Inc is a Tampa, FL based firm formed with one sole purpose of delivering best and quick services to its clients nationwide.
Funding
Current Stage
Growth StageCompany data provided by crunchbase