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NewBe an early applicant Remote

GCP Platform Engineer (ID 1394)

Remote GCP Platform Engineer supporting production data pipelines and workflows on Google Cloud (BigQuery, Cloud Spanner, Dataflow, Pub/Sub) across batch and streaming workloads. Day to day: troubleshooting failures and latency, optimizing pipeline performance, and handling platform upgrades and production support.

AI BigQuery Cloud Data Engineering Data Pipelines +7 skills

NewBe an early applicant APAC

Platform Engineer (ID 1309)

API Automation AWS CI/CD Cloud +12 skills

Platform Engineer in Noida building and modernizing scalable enterprise workflow and orchestration platforms — designing reusable platform services, distributed backend components, and cloud-native systems. Core stack: Java/Python/Node.js backends with Docker, AWS, and CI/CD.

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DevOps Manager (ID 1316)

AWS Azure CI/CD Cloud DevOps +16 skills

Hands-on DevOps Manager who architects and runs production-grade containerized infrastructure from scratch: Docker/Kubernetes clusters hosting PHP applications, with CI/CD, auto-scaling, failover, security (RBAC, secrets) and monitoring. Requires cloud experience (AWS/GCP/Azure); bonus tools include Terraform, Istio, NGINX/Traefik, and Prometheus/Grafana.

NewBe an early applicant APACSenior

DevOps Engineer (ID 1282)

AI API API Gateway Argo CD AWS +24 skills

DevOps Engineer in Mumbai designing and running the company's cloud platform: secure AWS networking, zero-trust service mesh, Kubernetes (EKS/GKE) orchestration for polyglot backends (Java, PHP, Python), CI/CD, observability with SLA/SLO dashboards, backups/HA, and incident response. Requires 5+ years in DevOps/SRE with strong AWS, IaC, and Docker/Kubernetes skills.

NewBe an early applicant APACC-level

Head of AI Platform Engineering and Product Stack (ID 1129)

Agentic AI AI AWS Cloud Data Engineering +10 skills

Leadership role heading AI platform engineering and product: defining strategy for agentic, low-code, document-AI and LLM-search platforms serving financial (BFSI) products, architecting multi-agent ML workflows, and scaling a 40+ AI/data science team. Core stack: ML/GenAI, vLLM/Uvicorn, MLOps, AWS/GCP.