Ovii Job Board

Senior DevOps Engineer

SpotDraft

Bangalore, India • Onsite - Bangalore, India • Full-Time • 5-7 years

Posted 2026-05-12 Tech & Engg

Apply on employer site

Job Description

Ovii's Interpretation of the Role

Senior DevOps Engineer responsible for owning SpotDraft's cloud infrastructure, driving architecture decisions, and ensuring reliable, secure platforms for product and AI workloads. Works closely with engineering and AI teams to automate deployments, improve observability, and scale services.

Role Snapshot

  • Own cloud infrastructure on GCP
  • Manage Kubernetes clusters
  • Drive Terraform & GitOps automation
  • Support AI/ML workloads
  • Improve monitoring & security

Must-Have Requirements

  • Google Cloud Platform (GCP)
  • Kubernetes
  • Docker
  • Terraform
  • ArgoCD
  • GitOps practices
  • CI/CD automation
  • Prometheus / DataDog / Grafana
  • Bash or Python scripting
  • Linux systems
  • Networking
  • Cloud security
  • DevOps
  • Platform Engineering
  • cloud infrastructure

Nice-to-Have Signals

  • AI/ML infrastructure familiarity
  • B2B SaaS product experience
  • AI/ML infrastructure
  • B2B SaaS product environments

Work Setup

  • Location: Bengaluru, India
  • Work mode: ONSITE
  • Remote scope: UNSPECIFIED
  • Employment type: Full-Time

Eligibility Gates

  • Visa sponsorship: unknown

Not Specified in JD

  • Visa sponsorship
  • Salary range
  • Remote eligibility
  • Education requirement
  • Certifications
  • Relocation
  • Notice period
  • Travel
  • Security clearance
  • Coding test
  • Portfolio
  • GitHub
  • Writing sample
  • Cover letter

What You'll Likely Work On

  • Own and operate SpotDraft’s GCP‑based infrastructure and internal platforms
  • Design, scale, and secure Kubernetes clusters for production workloads
  • Automate provisioning and configuration using Terraform and GitOps (ArgoCD, Helm, Kustomize)
  • Build and maintain CI/CD pipelines that enable fast, reliable deployments
  • Support and optimize AI/ML infrastructure for model training and inference
  • Implement monitoring, logging, and alerting with Prometheus, DataDog, Grafana, and GCP tools
  • Collaborate with engineering teams to improve developer experience and platform reliability
  • Partner with leadership on infrastructure strategy, cost management, and security posture

Good Fit If You Have

  • Strong ownership mindset and problem‑solving ability
  • Experience collaborating across engineering and AI teams
  • Comfort working in fast‑paced B2B SaaS environments

Skills

  • Google Cloud Platform (GCP)
  • Kubernetes & Docker
  • Terraform & ArgoCD (GitOps)
  • CI/CD pipeline automation
  • Prometheus / DataDog / Grafana observability
  • Bash & Python scripting
  • Linux systems & networking
  • Cloud security & cost optimization
  • AI/ML infrastructure (preferred)
  • B2B SaaS product experience (preferred)