Forward Deployed Infrastructure Engineer
On-siteBengaluru, Karnataka, India
Job Summary
Design and execute end-to-end deployment strategies for enterprise customers, managing Kubernetes topology, networking, storage, and identity within their infrastructure. Personally configure Helm releases, troubleshoot complex issues across services and databases, and develop automation tooling for repeatable upgrades and incident response. Own the deployment supply chain, including image promotion and vulnerability scanning, while partnering with sales, product, and customer success to translate requirements into actionable plans. This hands-on role requires direct experience with customer-owned environments, navigating security reviews and compliance constraints to ensure platform operability.
Required Qualifications
- 4+ years of experience in infrastructure engineering, platform engineering, DevOps, site reliability engineering, or solutions architecture, with significant time spent on customer-facing deployment work
- Demonstrated experience personally deploying and operating production applications on Kubernetes, including workloads, services, ingress, DNS, network policies, persistent storage, secrets, identity, autoscaling, and observability
- Production experience with at least one major cloud platform (AWS, Azure, or Google Cloud), including networking fundamentals such as VPCs, IAM, DNS, and load balancing
- Hands-on experience with Helm and at least one infrastructure or deployment automation system such as Terraform, Argo CD, Flux, Kustomize, or equivalent
- Track record of managing deployments in customer-owned environments, including navigating security reviews, compliance requirements, and change management processes
- Strong debugging skills across containers, distributed services, networking, logs, metrics, authentication, storage, and service dependencies
- Ability to navigate ambiguity with enterprise stakeholders, from platform engineers to CISOs, and turn infrastructure conversations into actionable deployment plans
- Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought
- Strong written and verbal communication, including the ability to explain technical decisions and tradeoffs to both engineers and non-engineering stakeholders
- Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams
- Degree in Computer Science or a related field, or equivalent professional experience
- Experience diagnosing and resolving Kubernetes and infrastructure-level issues
Desired Qualifications
- Previous AI or machine learning experience
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