Senior DevOps Engineer_Req 117

Senior DevOps Engineer — Platform Deployment & Multi-Cloud Infrastructure
Location: [Remote / Hybrid — specify]
Team: Platform Engineering / Innovation
Employment type: Full-time
About The Role
We are hiring a Senior DevOps Engineer to own and evolve the deployment of our AI-powered application modernization platform (NEXUS) into client production environments. This role is a unique hybrid of Platform Engineering and Technical Advisory. You will not only design the underlying multi-cloud infrastructure (AWS, Azure, GCP) but also partner directly with client IT groups to establish SysOps frameworks. You will leverage our AI-driven automation tools to provision infrastructure, integrate AIOps for anomaly detection and remediation, and ensure clients receive seamless product updates via our Helm-based delivery pipeline.
This is a senior individual contributor role that requires a "product mindset"—you are designing for scale, security, and long-term operational sustainability in client environments.
What You Will Do
Client Collaboration & SysOps Partnership
Serve as the primary technical partner to client IT groups, guiding them on best practices for operating bespoke NEXUS implementations.
Work with client-aligned delivery teams to manage the lifecycle of the platform, ensuring timely and reliable product updates via Helm charts.
Collaborate with client stakeholders to tailor infrastructure and operational workflows, ensuring NEXUS integrates seamlessly with their existing enterprise monitoring and ticketing systems.
AI-Driven Automation & AIOps Integration
Build & Leverage AI for Provisioning: Architect and implement AI-assisted workflows to automate the provisioning and configuration of infrastructure across multi-cloud environments.
AIOps Implementation: Integrate and adopt 3Pillar’s AIOps platform into client ecosystems to enable proactive, automated anomaly detection and incident remediation.
Knowledge Base Evolution: Maintain and refine the AIOps knowledge base, training agents to perform accurate root-cause analysis (RCA) and automate recurring issue resolution. 1
Platform & Multi-Cloud Development
Evolve our Helm-based platform layer and Terraform module libraries to support standardized, secure deployment patterns across AWS, Azure, and GCP. 1 2
Design for "Delegation": Move our automation from simple execution to self-adapting workflows that handle ambiguity and get smarter over time. 3
Ensure all infrastructure-as-code and automated remediation scripts meet rigorous enterprise security and compliance standards, including PII access logging and least-privilege IAM.
Our technology stack
You should be comfortable working with most of the following (or able to ramp quickly):
Area
Technologies
IaC
Terraform (>= 1.5), remote state (S3 + DynamoDB), module versioning via Git tags
Cloud
AWS (primary for client deployments): EKS, VPC, NLB, EFS, ECR, Route 53, KMS, IAM/IRSA
Azure: AKS, Key Vault, ACR, VNet
GCP: GKE, Artifact Registry
Kubernetes
Production cluster operations, storage classes, ingress, HPA, troubleshooting CrashLoop / init failures
Packaging
Helm (umbrella charts, atomic releases), feature-flag-driven deployments
Platform services
HashiCorp Vault, Keycloak, OAuth2 Proxy, cert-manager, Zalando Postgres Operator, Neo4j, Redis Operator, Strimzi Kafka, Prometheus/Grafana/Loki, Apache Airflow, MinIO
Application platform
Python/FastAPI backend, React frontend, MCP server, background workers, retrieval/RAG services; container images on a private registry (e.g. GHCR)
CI/CD & GitOps
GitHub Actions, Flux (internal environments), image signing (Cosign)
Observability & ops
kubectl, helm, structured logging (Loki), metrics/alerts, operational runbooks
Security
TLS (Let's Encrypt DNS-01), secrets via Vault/VSO, SSO/OIDC, VPN / CIDR-based ingress controls
Required Experience
Client-Facing Advisory & Enablement: Proven experience in a technical advisory or client-facing engineering role. You are comfortable partnering with client IT teams, guiding them through technical adoption, and translating complex platform requirements into operational success.
DevOps & Infrastructure Expertise: 5+ years in DevOps, SRE, or Platform Engineering. You possess production-grade Terraform experience—architecting modular, multi-cloud IaC frameworks that enable consistent, repeatable deployments across different environments.
AIOps & Observability: Hands-on experience integrating or managing AIOps platforms or automated observability stacks. You understand the lifecycle of incident response, anomaly detection, and automated remediation.
AI-Driven Automation: Demonstrated experience building automation workflows. You don’t just write scripts; you build systems that reduce manual operational toil and empower users through self-service provisioning and automated configuration.
Platform Engineering at Scale: Deep expertise in Kubernetes and Helm. You have a track record of deploying and operating complex, multi-service platforms and managing their lifecycle (chart development, values layering, atomic releases).
Foundational Cloud Operations: Proven AWS expertise (EKS, networking, IAM/IRSA) with a strong aptitude for multi-cloud environments (Azure/GCP).
Identity & Security: Solid experience with secrets management (HashiCorp Vault or similar) and identity/SSO integration (Keycloak/OIDC).
Communication & Mentorship: Excellent written and verbal communication. You are able to explain complex technical concepts to non-technical stakeholders and mentor teams on best practices.
Strongly Preferred / Nice To Have
Consultative Experience: Prior work as a Solutions Architect, Technical Account Manager, or Implementation Engineer in a SaaS or Managed Services environment.
AI/LLM Infrastructure: Experience managing infrastructure for AI/ML workloads, including GPU node pools, vector databases (e.g., Neo4j), or RAG (Retrieval-Augmented Generation) pipelines.
GitOps & Lifecycle: Hands-on experience with GitOps methodologies (Flux, Argo CD) for managing continuous deployment at scale.
Enterprise Compliance: Experience operating within regulated or enterprise environments (PII logging, audit trails, network isolation, SOC2/compliance-heavy workflows).
Kafka & Distributed Systems: Experience with event streaming platforms (e.g., Strimzi/Kafka) or specialized operators for stateful services.
What success looks like in your first 6–12 months
Successful enablement of client IT teams to independently manage and operate the NEXUS platform.
Quantifiable reduction in manual operational toil for clients through the successful adoption of AIOps-driven anomaly detection and automated remediation.
Seamless, low-friction delivery of platform updates via automated Helm-based pipelines.
Deployment of robust, AI-provisioned infrastructure stacks that adapt to client-specific demands while maintaining security and compliance.
Job Description Template Not Found

Work arrangement
Yes