About us
Peklenc Research comes under YNAPS, a global business group that encompasses diverse ventures such as NGF132 (Featured in Shark Tank India Season-5 ep12) (Sampark.me) with offices in Spain, the USA, and India. We build execution-first products with strong engineering discipline: shipping, reliability, and measurable outcomes.Its a great opportunity to work with leading startup implicating real world impact, and have a career growth unmatched.
About the role
We're building a multi-tenant, multi-channel, real-time logistics operations SaaS platform where reliability under peak traffic matters. We're hiring a Senior Backend Engineer / Tech Lead who will take end-to-end responsibility: architecture development shipping monitoring ongoing reliability, and can lead a small team to deliver production outcomes.
This is not a CRUD-only backend role. We need someone who can design and operate stable real-time systems in production.
What you'll do (Core Responsibilities)
- Own the backend architecture: data model, APIs, multi-tenant isolation, and real-time event flow.
- Build and operate the real-time pipeline (ingestion processing fanout) using SSE/WebSockets + pub/sub/queues, including reconnection and late-join behavior.
- Design fanout stability: throttling/backpressure, send-latest-only, reconnect storm protection, graceful shutdown during deploys, and controlled broadcast cadence.
- Implement hot-path state & caching using Redis (latest-state snapshots, rate limiting, pub/sub triggers) with failure-safe patterns.
- Build durable source-of-truth storage on Postgres: schema design, migrations, indexing, transaction safety, and performance tuning.
- Implement multi-tenant security & isolation end-to-end: tenant scoping from auth/session, enforced DB filtering, audit logs, and per-tenant quotas/rate limits.
- Drive production readiness on AWS: CI/CD, staging parity, safe rollouts, dashboards/alerts, incident playbooks, and fast rollback practices.
- Can use modern coding assistants/agents to ship faster.(claude code) generate faster, but validate with tests, logging/metrics, code review discipline, and production readiness.
- Collaborate closely with DevOps/SRE to design and validate scaling and reliability for peak windows.
- Lead execution with a small support team.
Must-have
- 4+ years backend experience with real production ownership (deployments, monitoring, incidents, rollbacks).
- Implemented realtime systems in production (SSE and/or WebSockets) with stability mechanisms such as:
- throttling/backpressure, send-latest-only, reconnect backoff/jitter, graceful shutdown/draining, degrade/load-shedding modes.
- Strong production experience with:
- Redis (hot-path caching/state, rate limiting, pub/sub triggers; plus monitoring/alerts like latency/evictions/memory headroom).
- Postgres (schema design, migrations, indexing, query performance, transaction/locking basics).
- Event-driven / async processing experience in production:
- queues/pubsub such as SQS/SNS/EventBridge, Kafka, or similar,
- retries/backoff, idempotency, DLQs.
- AWS production working knowledge (enough to ship and operate backend services):
- ECS/Fargate (or equivalent), ALB, CloudWatch, RDS, ElastiCache, SQS, Secrets Manager/SSM (WAF is a bonus).
- Strong engineering judgment: can clearly explain tradeoffs between latency vs cost vs reliability and choose pragmatic solutions for launch.
Nice-to-have (Strong Bonuses)
- Terraform / Infrastructure as Code collaboration (not necessarily writing all infra, but can work cleanly with Terraform-based environments).
- Kubernetes exposure (bonus; not required for launch).
- High-concurrency connection systems (10k100k+ connections) or reconnect storm handling experience.
- Built internal ops/admin tools (tenant lookup, audit logs, revoke/rotate tokens/credentials).
- Cost-control patterns for external APIs (caching, batching, quotas, fallbacks).
