Devops Engineer

About The Position

Gloat is the AI-native system of action for workforce orchestration. Our agentic HR platform lets enterprises build intelligent workforce agents that understand their people, respect their policies, and work where teams already are — Microsoft Teams, Slack, Google Chat, and Copilot, with no new portal or change management.

The platform is powered by Loomra, our semantic layer that connects people, jobs, and skills through a knowledge graph, deep HCM integration (Workday, SuccessFactors, Oracle HCM), a governance engine, and semantic retrieval — with a full audit trail behind every agent decision.

Trusted by 100+ enterprises across 112 countries, empowering 5M+ employees.

We're looking for a smart and capable DevOps Engineer. You will be part of a small and agile team, working on well-built infrastructure, handling production workloads, building and maintaining infrastructure that supports continuous delivery. This job includes work across the devops stack, including agent development, CI/CD, networking, resource allocation, cloud architecture, security, developer experience, and more.

We work with enterprise customers, with the SLA and expectations that this dictates.

This position includes on-call shifts.

Our Stack

Kubernetes on AWS

Terraform and IAC

Github & Github Actions

Responsibilities

What will you DO:

• Design and evolve our cloud multi-region architecture on AWS - networking, interconnects, IAM and high-availability topology - and express it entirely as code with Terraform, following GitOps as a first principle.
• Build and own the CI/CD pipelines that plan, review, test and safely apply IaC changes - Policy-as-Code guardrails, drift detection and progressive rollout so infrastructure changes ship as confidently as application code.
• Advance Platform-as-a-Product: build self-serve capabilities and paved paths so engineers can provision what they need
• Strengthen our observability stack - metrics, logs, traces and alerting.
• Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
• Design and develop the next generation of AI agents to support higher pace and evolve the RnD productivity while maintaining security and engage the entire company to use AI for better solutions.