Available for backend architecture work
Arjun Mehta / 2026
01 - Infrastructure with a pulse

Make the core
unshakeable.

I design backend systems where APIs, queues, databases and observability behave like a single living nucleus: coordinated, measurable and ready for the next request.

01 / Profile

Reliable at the center.

My work sits below the interface: turning product requirements into clear service boundaries, durable data flows and APIs that are easy to operate. I care about failure modes as much as happy paths.

7Years building backend systems
99.98%Target service availability
42Production services shipped
18msp95 API latency goal
02 / Systems

The backend nucleus.

A practical stack shaped around throughput, correctness and operability, not technology for its own sake.

API GATEWAY
EVENT BUS
POSTGRES
OBSERVABILITY

🔗 Service design

REST APIs, background workers, idempotent jobs, queues, caching and graceful degradation for high-change products.

Node.jsTypeScriptPythonREST

🗄️ Data & runtime

Schema design, query tuning, transactional boundaries and containerized deployments with metrics that expose the real bottleneck.

PostgreSQLRedisKafkaDocker

✅ Engineering habits

Contract-first thinking, focused tests, structured logs and incident-aware design from the first architecture sketch.

OpenTelemetryCI/CDTestingSRE mindset
03 / Builds

Systems under load.

Selected backend work framed by the problem, the architecture and the measurable outcome.

POST /v1/orders 202 Accepted queue: order-events latency: 21ms

OrderFlow Core

Event-driven order orchestration with idempotent consumers and retry-safe fulfillment state.

Kafka, Postgres41% fewer failures
GET /v2/search?q=... 200 OK cache-hit: true p95: 18ms

QueryMesh

Low-latency search API with cache-aware reads, connection pooling and workload-aware pagination.

Redis, API63% lower p95
worker reconcileBilling() batch complete records: 184,204 duration: 44s

Ledger Worker

Background reconciliation pipeline designed around deterministic jobs, checkpoints and auditable outcomes.

Python, SQL0 duplicate writes
trace checkout-service error budget healthy p99: 94ms coverage: 91%

Signal Room

Observability layer joining traces, structured logs and service-level signals into one operating view.

OTel, MetricsMTTR down 36%
04 / Track

From endpoint to ecosystem.

Senior Backend Engineer · Northstar Labs

Leading service architecture for a multi-tenant platform, with a focus on asynchronous workflows, database performance and production reliability.

Backend Engineer · Loopline Systems

Built customer-facing APIs and internal workers, introduced contract testing and helped move critical workloads toward event-driven processing.

Software Engineer · Meridian Digital

Developed transactional services, reporting pipelines and integrations while building a strong foundation in SQL, testing and operational debugging.

05 / Connect

Let's strengthen
the core.

Have a backend platform that needs cleaner boundaries, faster queries or calmer production behavior? Send the context and I will reply with a useful next step.

✉ arjun.mehta@example.com
◈ Pune, India
in GH

Typical response - 2 business days