Senior DevOps Engineer_Req 117

3Pillar Global, Inc.; Polska; Ibrido; PLN 240.000 - 360.000; Tempo pieno

Descrizione del lavoro

3Pillar Global, Inc. seeks a Senior DevOps Engineer to own the deployment of the NEXUS platform across AWS, Azure, and GCP. You will design multi-cloud infrastructure, partner with client IT groups, and enable secure, scalable product updates via Helm-based pipelines.

You will drive AI-assisted provisioning, integrate AIOps for proactive remediation, and evolve Terraform modules while maintaining security and compliance. This is a senior contributor role with a product mindset.

Competenze

• 5+ years in DevOps, SRE, or Platform Engineering.
• Production-grade Terraform experience—modular, multi-cloud IaC frameworks.
• Experience with AIOps platforms and automated observability stacks.
• Experience building AI-driven automation workflows to reduce toil.
• Deep Kubernetes and Helm expertise for multi-service platforms.
• Strong AWS experience (EKS) with multi-cloud familiarity (Azure/GCP).
• Secrets management and identity/SAML/OIDC integration experience.
• Excellent written and verbal communication; able to mentor teams.

Mansioni

• Guide client IT groups on best practices for operating NEXUS implementations.
• Manage platform lifecycle and deliver updates via Helm charts.
• Tailor infrastructure and workflows to client environments for seamless integration.
• Architect AI-assisted provisioning workflows across multi-cloud environments.
• Integrate AIOps into client ecosystems for proactive remediation.
• Maintain AIOps knowledge base and automate RCA workflows.
• Evolve Helm-based platform layers and Terraform libraries for secure deployments across AWS/Azure/GCP.
• Design self-adapting automation to handle ambiguity and scale.
• Ensure IaC and automation scripts meet enterprise security and compliance standards.

Conoscenze

Client-Facing Advisory

DevOps & Infra Expertise

AIOps & Observability

AI-Driven Automation

Platform Engineering

Cloud Operations (AWS/Azure/GCP)

Identity & Security (Vault/OIDC)

Communication & Mentorship

Strumenti

Terraform

Kubernetes

Helm

Vault

Keycloak

Prometheus/Grafana

Ansible

Descrizione del lavoro

Location: [Remote / Hybrid — specify]

Team: Platform Engineering / Innovation

Employment type: Full-time

Work Hours: EST 9am–5pm (EST availability required)

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

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.

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

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.

You should be comfortable working with most of the following (or able to ramp quickly):

Area

Technologies

IaC

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

Packaging

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

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.