Senior Devops Engineer

3Pillar; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

3Pillar is seeking a Senior DevOps Engineer to own and evolve the deployment of the NEXUS platform in client production environments. You will design multi-cloud infrastructure and partner with client IT groups to establish SysOps frameworks using Helm, Terraform, and AI-driven automation.

This senior individual contributor role emphasizes scale, security, and long-term operational sustainability in client environments.

Qualifications

• 5+ years in DevOps, SRE, or Platform Engineering.
• Production-grade Terraform experience for multi-cloud environments.
• Experience integrating or managing AIOps platforms and automated observability stacks.
• Ability to translate platform requirements into operational success with client IT teams.
• Strong Kubernetes and Helm experience for multi-service platforms.

Responsibilities

• Lead client collaborations and guide client IT groups on operating bespoke NEXUS deployments.
• Manage platform lifecycle with client-aligned delivery teams and ensure timely updates via Helm charts.
• Tailor infrastructure and workflows to integrate NEXUS with client monitoring and ticketing systems.
• Architect AI-assisted provisioning workflows across AWS, Azure, and GCP.
• Integrate AIOps into client ecosystems to enable proactive anomaly detection and remediation.
• Evolve Helm-based platform layers and Terraform libraries for standardized, secure deployments.

Skills

Client-Facing Advisory

DevOps & Infra Expertise

AIOps & Observability

AI-Driven Automation

Platform Engineering at Scale

Foundational Cloud Ops

Identity & Security

Communication & Mentorship

Job description

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.12
• 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.