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Salary
$21k – $31k per year (gross)
Location
In office (Bengaluru)
Experience
4+ years exp

First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match
WALT is a crew of AI agents that builds, operates, and evolves your entire data platform. From ingestion to transformation to analytics to governance.

Role Overview :

We're hiring a DevOps Engineer with 4 - 6 years of experience running production cloud infrastructure who has built at least one environment from scratch. You will own how our environments are provisioned, deployed and kept healthy, using Kubernetes, Helm, Terraform and Argo CD.

What you'll do :

- Stand up new environments end to end (network, Kubernetes cluster, databases, DNS, TLS, secrets and deploy pipeline) with Terraform, not by hand.

- Bring existing hand-built environments under Terraform and Helm so any of them can be rebuilt from the repository.

- Run our Kubernetes clusters : node pools, autoscaling, resource requests and limits, ingress and version upgrades.

- Write and maintain Helm charts for application services, background workers and their stateful dependencies, with clean per-environment values.

- Own CI/CD : build container images, promote releases from dev to staging to production, and roll back safely.

- Manage short-lived preview environments for pull requests, including cleanup when a PR closes.

- Set up monitoring, logging and alerting; respond to infrastructure incidents and write the follow-ups.

- Manage access and secrets with least-privilege IAM, rotated credentials and no secrets in code.

- Keep cloud spend visible and right-sized.

- MLOps or AIOps : deploying and serving ML or LLM workloads (model serving, GPU node pools, model versioning), or using AI-driven tooling for alerting and incident response.

Must-haves :

- 4 - 6 years managing production infrastructure on at least one major cloud : AWS, GCP or Azure.

- At least one environment built from scratch and taken to production, covering networking, compute, a Kubernetes cluster, databases, DNS/TLS and CI/CD.

- Kubernetes in production : deployments, services, ingress, autoscaling, resource tuning, cluster upgrades and debugging pods.

- Helm : written charts including templates, per-environment values, upgrades and rollbacks.

- Argo CD (GitOps) : run Argo CD in production with every environment synced from Git.

- Terraform : written and maintained modules, used remote state with locking, run plan and apply in CI, and imported existing resources.

- Docker and Linux fundamentals, plus scripting in Bash or Python.

- Networking : VPCs, subnets, load balancers, DNS, TLS certificates and private connectivity between services.

Nice to have :

- MLOps or AIOps experience.

- GCP specifically : GKE, Cloud SQL, Artifact Registry and IAM.

- Running stateful services on or alongside Kubernetes (PostgreSQL, Redis, Neo4j).

- Observability with Prometheus, Grafana, Loki or ELK, and OpenTelemetry.

- Secrets management with Vault, External Secrets or a cloud secret manager.

- Running separate, single-tenant environments for individual customers.

- Certifications such as CKA, CKAD, HashiCorp Terraform Associate.

Skills

DevOps, Kubernetes, IAC Terraform, Cloud, CI/CD Pipeline, Linux, MLOps, DNS, Bash Scripting

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