Full-Stack Engineer Platform, Distributed Systems & Cloud Infrastructure

Role Overview

We are looking for a Senior Full-Stack Engineer with strong experience in backend engineering, distributed systems, cloud infrastructure, web applications, mobile applications and production platforms. The candidate will be responsible for building scalable, secure and reliable systems across web, Android and iOS applications.

Core Responsibilities

- Build and maintain production-grade web and mobile applications.
- Develop scalable backend services, APIs, databases, realtime systems and integrations.
- Design and operate reliable distributed systems and cloud infrastructure.
- Build application and platform components supporting multiple products.
- Develop secure authentication, authorization, tenant isolation and service-to-service communication.
- Design CI/CD, deployment, observability and production reliability systems.
- Work across application and infrastructure layers to deliver complete features.
- Participate in architecture, code reviews, testing, deployment, incident response and production support.

Web Application Development
- React / Next.js and TypeScript.
- Responsive interfaces, component architecture and state management.
- Production dashboards, workflows and API-driven applications.
- Authentication, authorization, API integration and application performance.

Mobile Application Development Android & iOS
- React Native / Expo or Flutter, with practical Android and iOS development experience.
- Mobile networking, authentication, secure local storage and application lifecycle.
- Push notifications, deep linking and device integrations where required.
- Offline/retry behavior and synchronization.
- Android/iOS build, testing and release workflows, including Play Store/App Store deployment.

Backend & Database Engineering
- TypeScript/Node.js at strong production level; Python working proficiency.
- Fastify/Express/Nest-style backend systems.




- PostgreSQL/Supabase: schema design, transactions, migrations, RLS, connection pooling and multi-tenancy.
- pgvector, realtime, replication, backup/PITR and data lifecycle concepts.
- Redis, caching, queues, background workers and event-driven services.
- REST/OpenAPI, webhooks, OAuth/OIDC, service accounts, API keys, rate limiting and versioning.

Distributed Systems & Reliability
- Queues, workers, event buses and WebSockets.
- Retries, deduplication, idempotency keys and eventual consistency.
- Durable execution, crash recovery, replay, scheduling and backpressure.
- Checkpoint/resume, bounded offline operation and recovery through network outages.
- Load/soak testing, failure recovery, RTO/RPO and disaster-recovery concepts.

Cloud, Platform & CI/CD
- Docker and container isolation; familiarity with Kubernetes.
- Railway, Vercel, Cloudflare and AWS/GCP concepts.
- Private networking, health checks, environment management and autoscaling.
- GitHub Actions, CI/CD pipelines, ephemeral runners, approval gates and artifact provenance.
- Preview environments, rollback, workers/cron and deployment automation.
- Git/GitHub workflows, repositories, pull requests and release management.

Observability & Production Engineering
- Metrics, structured logs, tracing, health probes, SLOs, alerts and dashboards.
- OpenTelemetry-level observability concepts.
- Incident response and production debugging.
- Health checks, rollback and secure deployment practices.
- Load, soak and chaos testing.

Security Engineering
- Multi-tenant isolation,



RBAC/ABAC and least privilege.
- OAuth/OIDC and familiarity with SAML/SCIM concepts.
- Secret management, KMS integration and secure service communication.
- Secure sandboxing and egress controls.
- Staging/production separation and protection of production credentials.

Project Responsibilities
- DCS Grid / Engineering OS — platform, runtime, CI/CD, deployment and application infrastructure.
- DCS Intel — connectors, events, ingestion, SaaS platform and shared application infrastructure.
- DCS Agentic — runtime, execution, queues, sandbox and reliability.
- Website Maker — assembler, shell, database, deployment and QA infrastructure.
- DCS Bonafide — backend, RLS, APIs, queues and production systems.
- DCS Sports — realtime scoring, provider adapters, WebSockets, database and cache.
- Pariksha Trust — offline/distributed systems, database and platform infrastructure.
- COSRYX V2 — ground/edge software, telemetry, relay and resilience.
- DCS AIE — authentication, database, production E2E, deployment and shared application infrastructure.

Candidate Profile
- Strong software engineering fundamentals and production ownership mindset.
- Experience building and shipping production web and mobile applications.
- Deep backend, distributed-systems and cloud engineering experience.
- Comfortable working across frontend, mobile, backend, databases, infrastructure and deployment.
- Strong understanding of security, authentication, authorization and multi-tenant systems.
- Experience with CI/CD, observability, production debugging and reliability engineering.
- Comfortable with Git, code review, automated testing and production support.
- Immediate joiners or candidates available at very short notice are preferred.

Immediate Joiner Preferred — Candidates who can join immediately or at very short notice will be given preference.

📌 Full Stack Engineer Platform, Distributed Systems and Cloud Infra (Gurugram)
🏢 DCS AI Technologies
📍 Gurugram