Senior DevOps Engineer REQ_162

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI.

*Senior DevOps Engineer — Platform Deployment & Multi-Cloud Infrastructure*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.

Salary: $90K - $110K USD