We Build. We Know. We Hire.

HIRE
ENGINEERS
THAT SHIP

Most hiring firms screen resumes. We screen engineers — because we build real products in Go, Rust, Node, and Python every day. We know what production-grade looks like.

The Difference

WE DON'T
JUST PLACE.
WE BUILD.

Other agencies read CVs. We've shipped production systems in every language we hire for. That's why our bar is different — and why our placements stick.

01
Real Product Experience
We built InvesTar (algo trading), ServLoci TestSuite (API testing agents), OptionTree (options execution), and a custom Go compiler — gpp. We hire for the same calibre.
02
Technical Screening by Engineers
Candidates are screened by engineers who have shipped in production, not HR. We test system design, concurrency, architecture — not LeetCode tricks.
03
Hybrid & Cloud-Native Depth
We know cloud cost. We run hybrid architectures. Engineers we place understand both cloud-native and on-prem tradeoffs — rare skill that saves clients real money.
04
90-Day Hard Guarantee
If a placement doesn't work in 90 days, we replace — free. No argument. No invoice. We stand behind every engineer we send.
What We've Built

Our own open-source and product portfolio — the evidence behind every candidate we recommend.

gpp — Custom Go Compiler
Extended Go with Python-style decorator syntax. Compiles real production code. Released on GitHub.
Go · Compiler Engineering
InvesTar — Algo Trading Platform
WASM execution, multi-broker API (Dhan/Zerodha/Groww), real-time data pipelines, risk engine. Live at investar.servloci.in.
Go · WASM · WebSocket · TimescaleDB
httptool — HTTP Load Testing Platform
Production-grade HTTP execution with polyglot evaluators and flexible DSL. Not a toy — used in real testing pipelines.
Go · DSL · Load Testing
ServLoci TestSuite
API, Integration, E2E testing agent that actually works. Generates tests and mocks for your APIs automatically.
Go · AI Agents · Testing
OptionTree — Options Execution Engine
Go-based options trading execution with background optimization and minimal external dependencies.
Go · Finance · Concurrency
postgres-test-replay
WAL-level Postgres replay utilities — clone, replicate, checkpoint, and replay sessions for testing.
Go · Postgres · WAL · DevOps
Technical Advantage

GO + RUST:
THE BEST COMBO FOR
DATA & API AT SCALE

Speed, scale, security, and cloud cost — no other language combination wins across all four simultaneously. This is why we hire and train exclusively in this stack.

Go
APIs, SERVICES & ORCHESTRATION

Go's goroutine model handles 100K+ concurrent connections on a single $20 VPS. No GIL, no thread overhead, no JVM warmup. Compile once, ship anywhere, run forever.

Goroutines: 2KB stack vs 1MB OS thread — 500× more concurrency per GB RAM
Sub-10ms cold start vs 2–5 seconds for JVM or Node in containers
Single static binary — no runtime, no dependency hell, minimal attack surface
Built-in HTTP/2, gRPC, WebSocket — no framework tax
Used by: Docker, Kubernetes, Terraform, Cloudflare — the infrastructure layer of the internet
Rust
DATA ENGINES, PARSERS & SYSTEMS

Rust eliminates entire categories of bugs at compile time — no null pointer exceptions, no buffer overflows, no data races. C-speed with memory safety. Zero-cost abstractions.

Memory safety without garbage collector — zero GC pauses in data pipelines
WASM compilation — run compute in the browser at near-native speed
Fearless concurrency — data races caught at compile time, not production
4–10× smaller memory footprint vs Python/Java for same data processing workload
Used by: AWS, Google, Microsoft, Linux kernel, Cloudflare — where safety matters
10×
Throughput vs Python/Node for same hardware
70%
Lower cloud compute cost vs JVM stack
0
Memory safety CVEs in Rust codebases
Scale without rewrite — Go handles it
Hybrid Architecture

TERABYTES
OF DATA.
ZERO CLOUD
BILL SHOCK.

Cloud data query costs scale with volume. For multi-purpose, high-frequency data workloads, a small on-prem cluster pays for itself in weeks, not years. Engineers who understand this architecture are rare and worth their weight.

01
The Cloud Tax on Data
BigQuery, Snowflake, Redshift: $5–$23 per TB scanned. A 5TB dataset queried by 10 teams = $50,000+/month. Same data, same queries, every day.
02
Small Cluster, Massive ROI
A 3-node on-prem cluster (TimescaleDB + Go query layer): ~$2,000/month total cost. Handles TBs of queries. No per-query pricing. Fixed cost regardless of usage.
03
Go + Rust = Fewer Nodes Needed
A Go API layer serving the same query volume needs 2–3 nodes vs 10–15 for Python/Java. Rust data processing pipelines use 4–10× less memory. Your cluster does more with less.
04
Hot Data On-Prem, Cold Data Cloud
Tiered hybrid: last 90 days on-prem (fast, cheap), archive on S3/GCS (cold, per-GB storage only). Best of both worlds — speed for operational queries, scale for history.
Cost Comparison

Monthly cost for 5TB data, 10 teams, daily queries across 5 use cases

WorkloadCloudHybrid
Daily analytics (5TB)$24,500$680
ML feature queries$8,200$0 extra
API serving layer$3,400$320
Dev/Test environments$2,100$0 extra
Total / month$38,200~$2,000
Cloud cost$38,200/mo
Hybrid cost~$2,000/mo — 95% savings

Engineers who understand this architecture and can implement it in Go + Rust are worth every rupee of their premium. We hire and train for exactly this.

What We Place

LANGUAGE
EXPERTISE

Every engineer we place has been evaluated on real-world scenarios, not theoretical problems.

Go
Backend · Infra · Data
Goroutines & channels
gRPC & REST APIs
Kubernetes operators
Database drivers
CLI tooling
WebAssembly
Rust
Systems · WASM · Perf
Ownership & lifetimes
Async/await (Tokio)
FFI & C interop
WASM targets
Data parsing pipelines
Embedded & systems
Node
APIs · Real-time
Express / Fastify
WebSocket services
TypeScript strict mode
Event-driven arch
Microservices
BFF patterns
Python
ML · Data · Automation
FastAPI / Django
Pandas / NumPy
ML pipelines
Data engineering
Automation & scripting
LLM integrations
How It Works

4 STEPS.
ZERO NOISE.

01
REQUIREMENT DEEP-DIVE

We understand your stack, team dynamics, and what "good" means in your context. 30-minute call. No fluff, no forms.

02
TECHNICAL SCREENING

Candidates solve real engineering problems — system design, concurrency, architecture. Screened by engineers, not recruiters.

03
SHORTLIST & MATCH

2–3 pre-vetted candidates with full technical assessment reports. You interview, you decide. Average time-to-shortlist: 5 business days.

04
PLACEMENT & GUARANTEE

Engineer joins. We stay in contact for 90 days. If it doesn't work, we replace — no charge, no question.

New Service

INTERVIEW
AS A SERVICE

Don't have the bandwidth to interview Go or Python engineers? We run the technical interview for you — using a real programming environment, real problems tuned to your actual use case. You get a structured report. You make the call.

What's Included
Live Coding in Real Environment
Candidate codes in an actual Go or Python environment — not an MCQ form, not a whiteboard. Real compiler, real tests, real output.
Customised to Your Use Case
You tell us: trading system, data pipeline, REST API, CLI tool, DevOps automation. We design problems that match what the engineer will actually work on at your company.
Structured Assessment Report
After each interview: code quality score, problem-solving approach, gaps identified, hire / no-hire recommendation with reasoning. You decide — we give you the data.
Go & Python — Both Supported
Golang interviews covering concurrency, gRPC, APIs, performance. Python interviews covering data engineering, ML pipelines, FastAPI, automation. Senior-level system design included at higher tiers.
Pricing

Per candidate. No retainer. No minimum volume. Pay only for interviews you need.

Junior / Fresher
₹500 / candidate

45-min session. Core Go or Python fundamentals, basic problem solving, logic test. Real coding environment. Written report delivered within 24 hours.

Go Basics Python Fundamentals Logic & Reasoning
Most Popular
SDE / Mid-Level
₹1,000 / candidate

60-min session. Concurrency, APIs, database interaction, error handling. Problem tuned to your exact use case. Code review exercise included.

Goroutines REST / gRPC Use-case Specific Code Review
Senior / Lead / Architect
₹2,000 / candidate

90-min session. System design, performance analysis, architecture decisions, hybrid infra thinking. Candidate's approach to real production tradeoffs. Full written assessment.

System Design Performance Architecture Infra Tradeoffs
Custom use case? Tell us your stack, role, and what you're building. We design the problem set around it. No extra charge for customisation.

interview@servloci.in
More Services

BEYOND THE
FIRST INTERVIEW

Hiring doesn't end at placement. Engineers grow, leave, return. Teams evolve. We support the full lifecycle.

Re-Interview
PERIODIC RE-VETTING

Schedule re-interviews after 90, 180, or 365 days. Track engineer growth. Validate skill claims before promotion or team transitions. Same real-environment format — new problem set each time.

From ₹500 / session
Recall Interview
WHEN THEY COME BACK

Engineer left and wants to rejoin? Or you're re-hiring from a past pool? We run a recall interview — testing what they've grown since, whether the gap strengthened or weakened their skills, and whether they're ready for the new scope.

From ₹750 / session
Pre-Vetting Pool
ALWAYS HIRE-READY

We maintain a standing pool of pre-vetted Go, Rust, and Python engineers — screened, scored, and available. When you need someone fast, we match from the pool in 24–48 hours instead of 5 days. Pool refreshed every 60 days.

₹5,000/mo pool access
N-day
Re-interview cadence — you set N
24h
Pool match turnaround
60d
Pool refresh cycle
90-DAY REPLACEMENT GUARANTEE
If the hire doesn't work out — we replace them, free
Start Hiring →