Senior DevOps Engineer (B2B SaaS)
First seen by Alion on Sep 22, 2026.
Roles & Responsibilities
- Own end-to-end customer deployments across cloud, BYOC, air-gapped, and data-center environments
- Deploy and operate production environments using Kubernetes, Helm, and Terraform
- Troubleshoot complex Kubernetes, networking, infrastructure, application, and deployment issues
- Build and maintain observability, monitoring, alerting, and reliability
- Handle customer escalations and drive issues to resolution with a "fix first, optimize later" mindset
- Automate deployment and operational workflows
- Work closely with Engineering, Product, and Customer teams to resolve production challenges
- Participate in on-call and shift rotations, including critical customer escalations outside standard working hours
Ideal Candidate
1.Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience
2.Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.
3.Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).
4.Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security
5.Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.
6.Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation
7.Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills
8.Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting
9.Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI
10.Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.
11.Mandatory (Company): B2B SaaS product companies
12.Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.
13.Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog
14.Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability).
Skills
Kubernetes, helm, Terraform, Linux/Unix, AWS, GCP, BYOC