DevOps Engineer (AWS, GCP, Kubernetes) — Quantiphi · Mumbai

About the role

Mid / senior DevOps engineer for Quantiphi's AI engineering practice — hybrid AWS + GCP infrastructure, Kubernetes, MLOps integration with Vertex AI / SageMaker.

About this role and the team at Quantiphi. Mid / senior DevOps engineer for Quantiphi's AI engineering practice — hybrid AWS + GCP infrastructure, Kubernetes, MLOps integration with Vertex AI / SageMaker. This listing on cloudsoftsol.com is curated for engineers in India who are actively interviewing for senior cloud and DevOps roles. If you are seeking a multi-year career platform rather than a stop-gap, this listing rewards depth — read the responsibilities and requirements below carefully and tailor your application to the specifics. We do not charge candidates a fee for placement assistance; companies sponsor our involvement.

Responsibilities

Build and operate the multi-cloud infrastructure that powers Quantiphi's AI engineering and analytics engagements across AWS and GCP — landing zones, identity federation, secrets, and unified observability. Stand up production Kubernetes (EKS and GKE) clusters with platform add-ons (NGINX Ingress, cert-manager, External Secrets Operator, AWS Load Balancer Controller / GKE Ingress) and operate them through cluster lifecycle and Kubernetes minor-version upgrades. Design CI/CD pipelines in CircleCI and GitHub Actions, with reusable workflows, image scanning, signed-artefact promotion, and ArgoCD-driven GitOps deployment into the clusters. Integrate with the MLOps stack — Vertex AI for GCP, SageMaker for AWS, Snowflake / BigQuery as feature stores — and own the hand-off between data-science prototypes and production-grade serving. Author Terraform modules covering AWS and GCP, version them in a shared internal registry, and review other engineers' plans for cost and security implications before they land in production. Implement DevSecOps in CI: SAST (SonarCloud), SCA (Snyk / Dependabot), IaC scanning (Checkov), secret-scanning (gitleaks), and image scanning (Trivy). Gate higher environments on clean reports. Drive FinOps practices: cost-attribution tags, anomaly detection, Reserved Instance / CUD modelling, and monthly cost-review meetings with engagement leads. Drive at least one major cost-reduction initiative each quarter. Run blameless post-incident reviews, mentor junior engineers, and contribute to Quantiphi's internal multi-cloud playbook.

Requirements & qualifications

3-8 years of DevOps / Platform engineering experience with hands-on production exposure to both AWS and GCP, or strong AWS plus a credible GCP fluency. Production Kubernetes (EKS, GKE or both) at meaningful scale. Strong Terraform skills; comfortable with provider-specific quirks across AWS and GCP. At least one of: GitHub Actions, CircleCI, or GitLab CI mastered end-to-end. Hands-on with at least one MLOps platform (Vertex AI or SageMaker) or one analytics warehouse (BigQuery or Snowflake). Working scripting in Python or Go. DevSecOps and FinOps awareness; comfortable presenting findings in client-facing meetings. Cloud certifications across AWS + GCP preferred.

Why this role in 2026

Quantiphi is one of the most respected pure-play AI engineering firms globally — the kind of consulting work where the engineering quality bar genuinely shows up in the deliverable. The DevOps team's mandate is unusually broad: you ship infrastructure across two clouds, integrate it with bleeding-edge ML platforms, and present trade-offs directly to enterprise architects on the client side.

Application tips

Apply via the careers portal or email careers@quantiphi.com with subject "DevOps Engineer (AWS / GCP) — Mumbai — <name>". Highlight any direct MLOps or data-platform exposure prominently — Quantiphi specifically valuates that combination.

Interview preparation

Four rounds: recruiter, technical screen on AWS + GCP + Kubernetes, hands-on (Terraform module + a quick GitHub Actions workflow), and a hiring-manager round on culture and consulting communication. Practice presenting cost / security trade-offs concisely.

Career growth

Track: Cloud Engineer → Senior Cloud Engineer → Cloud Architect → Engineering Manager. Quantiphi has a strong culture of internal promotion and many of its current cloud architects started as mid-level engineers within 3-4 years.