SHIV KUMAR
SINGH
Golang Microservices • Scalable Architectures • Distributed Systems
“Dynamic Software Engineer with extensive experience at F5 Networks, specializing in Golang microservices and scalable architectures. Proven ability to enhance SaaS products, design MSP isolation frameworks, and integrate complex distributed systems.”
HIRE ME FOR
Staff-level execution with zero hand-holding. Proven production capabilities from F5 Networks, Wipro, and CTO leadership.
Multi-Tenant SaaS & Scalable Go Microservices
Proven F5 Networks platform capabilities with MSP isolation.
Architecting and developing resilient Golang microservices for multi-tenant SaaS. Engineering Managed Service Provider (MSP), Delegated Access, Support Access frameworks, and SCIM identity provisioning.
High-Concurrency Workloads & gRPC Pipelines
Optimizing concurrent execution under high-load production traffic.
Low-latency inter-service communication using gRPC and Protobuf contracts. Concurrency optimization via worker pools, channels, synchronization primitives, and fan-out/fan-in patterns.
Distributed Observability & Monorepo Scale
Full-stack telemetry and large-scale 100+ service monorepo leadership.
Comprehensive production monitoring with Prometheus, Cortex, Loki, and Grafana. Monorepo migration and automated Phabricator/Jenkins diff validation tools (Wipro & F5 experience).
HOW I THINK & BUILD
“Software engineering at F5 Networks and enterprise scale isn't just writing code — it's guaranteeing multi-tenant isolation, eliminating memory leaks under concurrency, and building self-healing reconciliation pipelines when networks partition.”
Golang Concurrency & Worker Pools
Deep optimization of concurrent workloads using goroutines, channels, sync primitives, worker pools, and context-aware cancellation patterns to slash latency under heavy traffic.
Multi-Tenant SaaS & MSP Isolation
Architecting Managed Service Provider (MSP), Delegated Access, and Support Access frameworks for secure cross-tenant operations, fine-grained RBAC, and SCIM identity provisioning.
Distributed Observability & State Repair
Full production telemetry via Prometheus, Cortex, Loki, and Grafana. Self-healing reconciliation and repair pipelines recovering inconsistent distributed state across services.
TAKE THE SHOT
“Every career has moments where you have to take the shot.”
Move cursor or swipe to aim • Strike the ball to test the keeper
Staff / Principal Software Engineer
High-throughput concurrency & streaming
Multi-region 99.999% SLA availability
Zero-to-one distributed platforms
THE JOURNEY
Every challenge is a level. Explore how 13+ years evolved from low-level C memory allocation to 50k+ TPS distributed platforms.
Software Engineer III (Senior Backend)
Software Engineer III • F5 Networks Multi-Tenant SaaS & Distributed Isolation
Architected scalable Golang microservices for F5's multi-tenant SaaS platform capabilities, focusing on high availability, concurrency, MSP frameworks, and distributed state reconciliation.
- Optimized high-concurrency Golang workloads using goroutines, channels, worker pools, and context-aware cancellation patterns to slash latency under load
- Engineered high-performance gRPC services and Protobuf contracts for secure inter-service communication and standardized backend integration
- Designed and implemented Managed Service Provider (MSP), Delegated Access, and Support Access frameworks for secure cross-tenant isolation and fine-grained RBAC
- Engineered asynchronous event-driven pub-sub notification architectures to propagate state changes and enhance eventual consistency
- Developed distributed reconciliation and repair pipelines to recover inconsistent state and backfill legacy platform data
- Onboarded services into XCIAB (XC in a Box) for automated provisioning and standardized deployments
- Integrated SCIM-based identity provisioning and enterprise SSO synchronization workflows
- Built comprehensive observability using Prometheus, Cortex, Loki, Grafana, structured logging, and distributed tracing
- Designed enterprise cross-tenant MSP isolation framework protecting multi-tenant workloads
- Engineered self-healing reconciliation pipelines recovering inconsistent distributed states
- Optimized P99 latency and memory efficiency for core F5 SaaS platform services
THE FORMATION
$ ls -la /toolkit/ — Click any position on the tactical board to review the scouting report.
Golang (Go)
Captain #10Primary Striker — Lethal Concurrency & Microservices
Primary language at F5 Networks, Wipro, and CTO leadership. Built multi-tenant SaaS microservices, monorepos, and high-concurrency real-time engines.
// High-concurrency worker pool with context cancellation
func StartWorkerPool(ctx context.Context, tasks <-chan Task, workers int) {
var wg sync.WaitGroup
for i := 0; i < workers; i++ {
wg.Add(1)
go func(id int) {
defer wg.Done()
for {
select {
case <-ctx.Done(): return
case task, ok := <-tasks:
if !ok { return }
process(ctx, id, task)
}
}
}(i)
}
wg.Wait()
}MATCH HIGHLIGHTS
$ cat /case_studies/ — Mission-critical architectures deployed to production.
F5 Multi-Tenant SaaS Platform & MSP Isolation Framework
High-availability Golang microservices enabling enterprise Managed Service Provider (MSP) cross-tenant security and RBAC.
100+ Services Golang Monorepo & Uber Freight Ingestion
Large-scale consolidation of 100+ microservices into a unified Go Monorepo with automated Phabricator CI/CD.
Real-Time Multiplayer Card Game & Fan-Out/Fan-In Engine
High-concurrency gaming microservices with parallel card validation and real-time auto-suggestions in Go.
Distributed State Reconciliation & Observability Platform
Self-healing repair pipelines and full-stack observability across F5's distributed SaaS ecosystem.
WHEN I'M NOT CODING
Engineers build best when they live with curiosity. Play a quick match on the interactive foosball table or explore what keeps me inspired.
Football & Tactical Defense
Center back & defensive anchor • Weekend league competitorPlaying in defense taught me to read the game from the back, anticipate counter-attacks, cut passing lanes, and build clean plays under pressure — principles that directly mirror zero-trust security and resilient distributed system architecture.