Backend Engineer + DevOps (Mid-Level) — Node.js | MongoDB | Docker | DigitalOcean

5 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Location & Type


Full-time | Andheri West, Mumbai (Work from Office)

(Work from office is core; minor flexibility as per team needs.)


About ZigMe


ZigMe is building a modern platform that helps students become job-ready and helps recruiters hire better, faster—through structured profiles, assessments, and hiring workflows.


Role Summary


We’re hiring a mid-level Backend + DevOps engineer who can build and maintain reliable Node.js services and also take ownership of deployments, uptime, and infra on DigitalOcean. This is a hands-on role with real ownership.


Key Responsibilities

Backend (Node.js)


Build and maintain REST APIs for ZigMe’s core platform modules.


Implement authentication, authorization (roles/permissions), validations, and secure API patterns.


Improve performance through clean architecture, caching patterns, batching, and efficient service design.


Write maintainable code with proper logging, error handling, and API versioning.


Integrate with third-party services (email/SMS/WhatsApp, payments, analytics, etc. as needed).


Database (MongoDB)


Design and evolve schemas/data models aligned with product needs.


Optimize with indexes, query tuning, aggregation pipelines, and data cleanup strategies.


Own backups, retention, and restore readiness.


DevOps (Docker + DigitalOcean)


Containerize services using Docker; manage dev/stage/prod consistency.


Deploy and operate on DigitalOcean (Droplets, Load Balancers, Spaces, Managed DB if applicable).


Set up/maintain CI/CD (GitHub Actions or similar), with rollback-safe deployments.


Implement observability basics: monitoring, alerting, logs, and incident response.


Maintain security hygiene: TLS, firewalling, access control, secrets management.


Must-Have Skills


2–5 years experience building production systems with Node.js (Express).


Strong MongoDB understanding (schema design + performance optimization).


Real-world experience with Docker and deploying backend services.


Comfortable with Linux, server operations, and DigitalOcean infra.


Solid fundamentals: API security, rate limiting, auth patterns, debugging, and code quality.


Good to Have


Redis, queues/workers (BullMQ), background jobs, cron workflows


Nginx, reverse proxies, load balancing


Monitoring tools (Grafana/Prometheus/ELK/Sentry/Datadog etc.)


Basic security best practices (OWASP awareness)


What Success Looks Like (First 90 Days)


Ship and stabilize core APIs with clean patterns and strong logging.


Improve deployment workflow (CI/CD, rollback, environment management).


Reduce API latency and DB load via indexing + query optimizations.


Set up dependable monitoring/alerts and improve uptime.


Compensation


As per market + experience (discussed during interview).

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