Top Tech Jobs & Startup Jobs

Partner with internal data teams to model, clean, and transform customer, sales, and behavioral datasets in Snowflake. Build semantic views and AI-ready data models, write production-grade SQL and Python for ETL, parse semi-structured JSON, collaborate with business stakeholders to translate requirements, maintain documentation, and follow git and data testing workflows.

Provide system administration and operational stability for on‑prem and SaaS infrastructure. Manage and scale Kubernetes environments, implement monitoring and observability (Snowflake, OpenTelemetry), participate in on‑call incident response and RCA, and automate infrastructure tasks with scripting and IaC.

Support and maintain Kubernetes clusters using GitOps (GitLab, ArgoCD). Clear backlog tickets, upgrade and deploy open-source Kubernetes components, refine change processes, and automate operational workflows with Bash or other scripting languages. Collaborate with teams to ensure smooth integrations and upgrades; AWS/EKS experience is a strong plus.

Maintain and optimize native iOS (Swift) and Android (Kotlin) voice and messaging apps; implement and optimize RTC features (WebRTC, SIP, VoIP); build React Native PoCs for migration; solve voice, latency, socket reliability and push-notification issues; collaborate with stakeholders on mobile architecture; conduct code reviews and drive performance improvements in an Agile workflow.

Build and maintain scalable backend services (Python/FastAPI or Flask) and responsive React + TypeScript frontends. Surface, validate, and resolve data issues from ETL pipelines, data lakes, and ML outputs. Manage PostgreSQL schemas/migrations, containerize with Docker, use AI-assisted coding tools judiciously, and collaborate directly with client engineers via Slack and Google Meet.

Design and implement offline-first, multi-tier data synchronization for a global QSR POS. Build CRDT-based conflict resolution, event-sourced/CQRS/saga workflows, real-time pub/sub, and PostgreSQL cloud modeling with reconciliation across device, edge, and cloud.

Design and implement multi-tier offline-first synchronization for a global POS platform using CRDT-based frameworks (Automerge/Ditto), event sourcing, CQRS, saga patterns, real-time pub/sub/WebSockets, and PostgreSQL-backed reconciliation across device, edge, and cloud.

Design and implement offline-first, multi-tier data synchronization for a global QSR POS: build CRDT-based conflict resolution (Automerge/Ditto), apply event sourcing, CQRS and saga patterns, use real-time pub/sub/WebSockets, and model PostgreSQL cloud data with reconciliation to local and edge stores.

Design and implement offline-first multi-tier data synchronization for a global QSR POS. Implement CRDT-based conflict resolution (Automerge/Ditto), event sourcing, CQRS, and saga patterns; maintain real-time state via pub/sub or WebSockets; model and reconcile PostgreSQL cloud data with local and edge stores; ensure eventual consistency and idempotency across order and payment flows.

Own design and implementation of offline-first, multi-tier synchronization for a global POS platform. Implement CRDT-based conflict resolution (Automerge/Ditto), event sourcing/CQRS/saga patterns, real-time pub/sub or WebSockets, and model PostgreSQL cloud data while reconciling local and edge stores.